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Pipeline run

c47aca82-5b5f-4659-a574-b3a494d1833d

Pipeline LLM cost (USD)
API 1: $0.0085 API 2: $0.0001 API 3: $0.0000 Total: $0.0087

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Audit Analytics / Data Platform
Lead a small analytics team to build and run audit analytics: shape data models/pipelines on Hadoop/Dataiku/Tableau, develop continuous monitoring, and translate exception outputs into audit actions with stakeholders.
""Assist in the governance and development of GIA’s Data Platform consisting of Hadoop based Private Data Lake, Dataiku Servers and Tableau Servers""
Tech stack maturity
Mainstream Legacy
The combination of Hadoop and Tableau suggests a conventional enterprise analytics stack that is widely adopted but not cloud-native or bleeding-edge.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.20 / 5
· Title match
Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3): embeddings
Evidence — skills matched in JD (5)
Hadoop Dataiku Tableau Agile Data Science
Skill cluster (1 dimension groups, role-scoped)
Cross-cutting / unaligned
Hadoop Dataiku Tableau Agile Data Science
Show KRA description ↓
• This individual will be responsible for the following: • Lead, coach and guide small teams of analysts to drive innovation, identify risks and gain insights across the bank’s audit risk areas using analytics. • Drive innovation, identify risks and gain insights across the bank’s audit risk areas using analytics. • Assist in the governance and development of GIA’s Data Platform consisting of Hadoop based Private Data Lake, Dataiku Servers and Tableau Servers • Contribute to the design, development, testing and documentation of data modelling (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification • Contribute to the design and implementation of effective continuous monitoring and auditing strategies • Work closely with key stakeholders to understand data flow, data points, and advise on how they can be leverage in the design of data analytical solution. • Provide insight and guidance on the interpretation of reported exceptions/analytics outputs so that appropriate actions can be taken by the audit teams • Embrace the agile philosophy and continuously seek feedback for continuous improvement • Display exemplary conduct and live by the Group’s Values and Code of Conduct. • Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. • Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. • Data analysis techniques • Programming fundamentals • Dashboard Design using Tableau • Data Science • Project management and analytical problem-solving skills • Change management and communications • Stakeholder management

Signals

Skill data-engineer
0.40
Alias
KRA data-engineer
0.62

Post-classification

Centroidupdated · n=7
Alias collision log
New-role queue
New skills captured2
New KRA capturedyes

Captured for admin review

Dataiku primary Data Analyst pending
Data Science primary Data Analyst pending
R&R fragment (sim 0.00) Data Analyst pending

• This individual will be responsible for the following: • Lead, coach and guide small teams of analysts to drive innovation, identify risks and gain insights across the bank’s audit risk areas using …

Status: completed Created: 2026-05-27T16:48:53.750934Z Updated: 2026-05-27T16:49:55.805353Z API 3 duration: 16422 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Data Analyst

domain · Data Engineering & Analytics CASE DOMAIN

slug: data-analyst · id: 143 · source: db

Domain=Data Engineering & Analytics; The JD is centered on audit analytics, insights, dashboarding, and stakeholder-facing analysis/monitoring rather than deep engineering or BI platform administration.

Matched skills

HadoopPrivate Data LakeDataikuTableaudata modellingdata sourcingdata preparationdata transformationsamplingcontinuous monitoringanalyticsData ScienceProgramming fundamentalsDashboard Design using Tableauagile philosophy

Matched dimensions

Audit analyticsRisk identification and insight generationData analysis and reportingData modeling for audit use casesContinuous monitoring and auditingStakeholder managementTeam leadership and coachingAgile delivery

Matched KRAs

Lead, coach and guide small teams of analystsDrive innovation, identify risks and gain insightsAssist in the governance and development of GIA’s Data PlatformContribute to the design, development, testing and documentation of data modellingContribute to the design and implementation of effective continuous monitoring and auditing strategiesWork closely with key stakeholders to understand data flowProvide insight and guidance on the interpretation of reported exceptions/analytics outputs

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped

Job description

Job Summary

This world class leading Bank is seeking for Audit Analytics Manager for Group Internal Audit’s Audit Analytics function. The function has used analytics and digital to improve the quality of audits and achieve efficiencies. The qualified individual will assist in the execution of analytics strategy and help drive innovation in the function. The function objective is to enhance the department’s data analytics capability, innovate and optimise the use of data throughout the audit cycle including the development of effective continuous monitoring strategies.

Responsibilities

• This individual will be responsible for the following:
• Lead, coach and guide small teams of analysts to drive innovation, identify risks and gain insights across the bank’s audit risk areas using analytics.
• Drive innovation, identify risks and gain insights across the bank’s audit risk areas using analytics.
• Assist in the governance and development of GIA’s Data Platform consisting of Hadoop based Private Data Lake, Dataiku Servers and Tableau Servers
• Contribute to the design, development, testing and documentation of data modelling (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification
• Contribute to the design and implementation of effective continuous monitoring and auditing strategies
• Work closely with key stakeholders to understand data flow, data points, and advise on how they can be leverage in the design of data analytical solution.
• Provide insight and guidance on the interpretation of reported exceptions/analytics outputs so that appropriate actions can be taken by the audit teams
• Embrace the agile philosophy and continuously seek feedback for continuous improvement


Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.


Skills And Experience

• Data analysis techniques
• Programming fundamentals
• Dashboard Design using Tableau
• Data Science
• Project management and analytical problem-solving skills
• Change management and communications
• Stakeholder management


Qualifications

• At least 2 years of experience in leading an analytics team, with minimum of 5 years of experience in a data engineering role preferably with internal audit, a risk function, a control function and/or previous experience in analysing business processes in a financial services environment
• Working knowledge of data analysis software; good understanding of data systems and data query and coding language methods, such as SQL, Hive and Python
• Experience with working in a Hadoop based Data Lake environment both on premise and on cloud
• Experience with metrics and reporting using visualisation tools such as Tableau, PowerBI or similar tools
• Good understanding of analytics and techniques, and proven ability to understand problem statements and identify opportunities for use of analytics.
• Data Science knowledge would be an advantage (basic understanding of statistics - Correlation, Regression)
• Outstanding project management and analytical skills with an ability to multi-task and manage competing priorities with a track record in creative and successful problem-solving
• Highly entrepreneurial with a high level of energy, dedication and an unrelenting drive to deliver value, with a track record in creative and successful problem-solving
• Outstanding communication skills, both oral and written
• Ability to participate within a multi-disciplinary team and be a strong team player
• A Bachelor's Degree in Computer Science, Management Information Systems or Business (e.g., Accounting, Business Administration, Economics, Finance, Management, Statistics) is preferred


About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together We

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term


What We Offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.


For further information, and to apply, please visit our website via the “Apply” button below.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Hadoop Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Hadoop id=1351 · hadoop

Aliases — catalog

  • Hadoop (CANONICAL)

Context tags (catalog)

Big Data Data Lake Distributed Computing ELT ETL Flume HDFS Hive Kafka MapReduce NoSQL Oozie Pig Spark Sqoop YARN

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Data Processing Framework
Vendor
Apache Software Foundation
License
apache_2
Year introduced
2006
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Job postings still mention Hadoop for legacy big-data stacks, but JD volume has fallen as Spark and cloud warehouses replaced MapReduce-era clusters.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
91
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • ETL and ELT Tooling Catalog dimension db id 24

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
ETL and ELT Tooling
etl-and-elt-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Dataiku Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Data Engineering Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Tableau Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Tableau id=150 · tableau

Aliases — catalog

  • Tableau (CANONICAL) primary

Context tags (catalog)

LOD expressions Tableau Cloud Tableau Desktop Tableau Prep Tableau Server actions calculated fields dashboards data blending data visualization extracts filters parameters published data sources workbooks

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Bi Analytics Platform
Vendor
Tableau Software
License
proprietary
Year introduced
2003
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: Tableau appears frequently in BI/data analyst job descriptions and remains a standard enterprise analytics platform with strong vendor support and broad adoption.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
111
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • BI and Visualization Tools Catalog dimension db id 31

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
BI and Visualization Tools
bi-and-visualization-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Agile id=520 · agile

Aliases — catalog

  • Agile (CANONICAL) primary

Context tags (catalog)

Kanban SAFe Scrum backlog backlog grooming burndown burndown chart continuous delivery continuous improvement cross-functional daily standup epics incremental development iteration iteration planning lean product backlog product owner retrospective sprint sprint planning stand-up story points user stories velocity

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Agile
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Agile appears in a large share of software job descriptions and is a standard hiring-pipeline requirement; Scrum/Kanban are commonly listed alongside it, showing broad market adoption.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
3594
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Software Concepts, Patterns & Practices Catalog dimension db id 478

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Data Science Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Hadoop in_db
ETL and ELT Tooling
etl-and-elt-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Tableau in_db
BI and Visualization Tools
bi-and-visualization-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile in_db
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Dataiku | type=Data Engineering Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Data Science | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
nano JD Parser — gpt-4.1-nano click to toggle
RoleAudit Analytics Manager
CompanyStandard Chartered
Experienceminimum of 5 years of experience in a data engineering role
DomainFinancial Services
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "We\u0027re an international bank, nimble",
      "last_5_words": "you can bring us."
    },
    "text": "We\u0027re an international bank, nimble enough to act, big enough for impact. For more than 170 years, we\u0027ve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you\u0027re looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can\u0027t wait to see the talents you can bring us.",
    "word_count": 84
  },
  "archetype_override_applied": true,
  "archetype_override_matched_skills": [
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  "certifications": [],
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  "ctc": null,
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      "domain": "Financial Services"
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    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "Bachelor\u0027s - Computer Science (or related)",
      "raw": "A Bachelor\u0027s Degree in Computer Science, Management Information Systems or Business (e.g., Accounting, Business Administration, Economics, Finance, Management, Statistics) is preferred",
      "requirement": "preferred"
    }
  ],
  "experience": {
    "max": null,
    "min": 5,
    "raw": "minimum of 5 years of experience in a data engineering role"
  },
  "job_locations": [],
  "role": "Audit Analytics Manager",
  "role_aliases": [
    "Analytics Manager",
    "Data Analytics Manager",
    "Audit Manager"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 8,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 This individual will be",
        "last_5_words": "seek feedback for continuous improvement"
      },
      "text": "\u2022 This individual will be responsible for the following:\n\u2022 Lead, coach and guide small teams of analysts to drive innovation, identify risks and gain insights across the bank\u2019s audit risk areas using analytics.\n\u2022 Drive innovation, identify risks and gain insights across the bank\u2019s audit risk areas using analytics.\n\u2022 Assist in the governance and development of GIA\u2019s Data Platform consisting of Hadoop based Private Data Lake, Dataiku Servers and Tableau Servers\n\u2022 Contribute to the design, development, testing and documentation of data modelling (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification\n\u2022 Contribute to the design and implementation of effective continuous monitoring and auditing strategies\n\u2022 Work closely with key stakeholders to understand data flow, data points, and advise on how they can be leverage in the design of data analytical solution.\n\u2022 Provide insight and guidance on the interpretation of reported exceptions/analytics outputs so that appropriate actions can be taken by the audit teams\n\u2022 Embrace the agile philosophy and continuously seek feedback for continuous improvement",
      "word_count": 203
    },
    {
      "bullet_count": 3,
      "heading": "Regulatory \u0026 Business Conduct",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Display exemplary conduct and",
        "last_5_words": "conduct and compliance matters."
      },
      "text": "\u2022 Display exemplary conduct and live by the Group\u2019s Values and Code of Conduct.\n\u2022 Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.\n\u2022 Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.",
      "word_count": 56
    },
    {
      "bullet_count": 7,
      "heading": "Skills And Experience",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Data analysis techniques\n\u2022 Programming",
        "last_5_words": "and stakeholder management"
      },
      "text": "\u2022 Data analysis techniques\n\u2022 Programming fundamentals\n\u2022 Dashboard Design using Tableau\n\u2022 Data Science\n\u2022 Project management and analytical problem-solving skills\n\u2022 Change management and communications\n\u2022 Stakeholder management",
      "word_count": 27
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Hadoop"
    },
    {
      "is_primary": true,
      "skill_name": "Dataiku"
    },
    {
      "is_primary": true,
      "skill_name": "Tableau"
    },
    {
      "is_primary": true,
      "skill_name": "Agile"
    },
    {
      "is_primary": true,
      "skill_name": "Data Science"
    }
  ],
  "jd_role": {
    "display_name": "Audit Analytics Manager",
    "rationale": null,
    "role_aliases": [
      "Analytics Manager",
      "Data Analytics Manager",
      "Audit Manager"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "We\u0027re an international bank, nimble",
        "last_5_words": "you can bring us."
      },
      "text": "We\u0027re an international bank, nimble enough to act, big enough for impact. For more than 170 years, we\u0027ve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you\u0027re looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can\u0027t wait to see the talents you can bring us.",
      "word_count": 84
    },
    "archetype_override_applied": true,
    "archetype_override_matched_skills": [
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      "Tableau",
      "metrics",
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      "Cloud",
      "Role",
      "SQL",
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    "certifications": [],
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    "ctc": null,
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      "secondary": null
    },
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        "level": "Bachelor\u0027s",
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    ],
    "experience": {
      "max": null,
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      "raw": "minimum of 5 years of experience in a data engineering role"
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    "job_locations": [],
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        "source_marker": {
          "first_5_words": "\u2022 This individual will be",
          "last_5_words": "seek feedback for continuous improvement"
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        "word_count": 203
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        "bullet_count": 3,
        "heading": "Regulatory \u0026 Business Conduct",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Display exemplary conduct and",
          "last_5_words": "conduct and compliance matters."
        },
        "text": "\u2022 Display exemplary conduct and live by the Group\u2019s Values and Code of Conduct.\n\u2022 Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.\n\u2022 Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.",
        "word_count": 56
      },
      {
        "bullet_count": 7,
        "heading": "Skills And Experience",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Data analysis techniques\n\u2022 Programming",
          "last_5_words": "and stakeholder management"
        },
        "text": "\u2022 Data analysis techniques\n\u2022 Programming fundamentals\n\u2022 Dashboard Design using Tableau\n\u2022 Data Science\n\u2022 Project management and analytical problem-solving skills\n\u2022 Change management and communications\n\u2022 Stakeholder management",
        "word_count": 27
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "c47aca82-5b5f-4659-a574-b3a494d1833d",
  "stage3_signals": {
    "alias_found": false,
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "display_name": "Data Engineer",
        "kra_matches": [
          {
            "kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
            "sentence": "Work closely with key stakeholders to understand data flow, data points, and advise on how they can be leverage in the design of data analytical solution.",
            "similarity": 0.679
          },
          {
            "kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
            "sentence": "Contribute to the design, development, testing and documentation of data modelling (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification",
            "similarity": 0.6233
          },
          {
            "kra_text": "Designs dimensional models, star schemas, data vault structures, and curated data mart tables to support BI tools and self-service analytics consumption.",
            "sentence": "Assist in the governance and development of GIA\u2019s Data Platform consisting of Hadoop based Private Data Lake, Dataiku Servers and Tableau Servers",
            "similarity": 0.5616
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 2,
        "score": 0.6213,
        "slug": "data-engineer",
        "total_count": null
      },
      {
        "display_name": "AI Compliance Officer",
        "kra_matches": [
          {
            "kra_text": "Coordinates AI incident response procedures, regulatory breach notification, audit investigation support, and remediation tracking for compliance issues.",
            "sentence": "Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.",
            "similarity": 0.5454
          },
          {
            "kra_text": "Monitors deployed AI systems for compliance policy drift, regulatory changes, and emerging requirements affecting existing AI deployments.",
            "sentence": "Contribute to the design and implementation of effective continuous monitoring and auditing strategies",
            "similarity": 0.4609
          },
          {
            "kra_text": "Coordinates AI incident response procedures, regulatory breach notification, audit investigation support, and remediation tracking for compliance issues.",
            "sentence": "Provide insight and guidance on the interpretation of reported exceptions/analytics outputs so that appropriate actions can be taken by the audit teams",
            "similarity": 0.457
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 12,
        "score": 0.4878,
        "slug": "ai-compliance-officer",
        "total_count": null
      },
      {
        "display_name": "Cyber Security Engineer",
        "kra_matches": [
          {
            "kra_text": "Reviews and enforces access control policies, privilege escalation procedures, role-based access control, and identity governance workflows.",
            "sentence": "Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.",
            "similarity": 0.5076
          },
          {
            "kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
            "sentence": "Contribute to the design, development, testing and documentation of data modelling (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification",
            "similarity": 0.4718
          },
          {
            "kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
            "sentence": "Lead, coach and guide small teams of analysts to drive innovation, identify risks and gain insights across the bank\u2019s audit risk areas using analytics.",
            "similarity": 0.4693
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 5,
        "score": 0.4829,
        "slug": "cybersecurity-engineer",
        "total_count": null
      },
      {
        "display_name": "MLOps Engineer",
        "kra_matches": [
          {
            "kra_text": "Coordinates model promotion workflows across development, staging, and production environments including integration testing and data contract validation.",
            "sentence": "Contribute to the design, development, testing and documentation of data modelling (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification",
            "similarity": 0.4879
          },
          {
            "kra_text": "Coordinates model promotion workflows across development, staging, and production environments including integration testing and data contract validation.",
            "sentence": "Work closely with key stakeholders to understand data flow, data points, and advise on how they can be leverage in the design of data analytical solution.",
            "similarity": 0.4247
          },
          {
            "kra_text": "Supports ML platform incidents by diagnosing model serving failures, feature store pipeline breaks, and training environment configuration issues.",
            "sentence": "Assist in the governance and development of GIA\u2019s Data Platform consisting of Hadoop based Private Data Lake, Dataiku Servers and Tableau Servers",
            "similarity": 0.4226
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 16,
        "score": 0.4451,
        "slug": "ml-ops-engineer",
        "total_count": null
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": [
          {
            "kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
            "sentence": "Work closely with key stakeholders to understand data flow, data points, and advise on how they can be leverage in the design of data analytical solution.",
            "similarity": 0.4616
          },
          {
            "kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
            "sentence": "Contribute to the design, development, testing and documentation of data modelling (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification",
            "similarity": 0.4545
          },
          {
            "kra_text": "Debugs full-stack issues that span frontend rendering, API behavior, database queries, and infrastructure configuration to identify root causes.",
            "sentence": "Provide insight and guidance on the interpretation of reported exceptions/analytics outputs so that appropriate actions can be taken by the audit teams",
            "similarity": 0.4187
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 15,
        "score": 0.4449,
        "slug": "full-stack-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "Hadoop",
          "Tableau"
        ],
        "role_id": 2,
        "score": 0.4,
        "slug": "data-engineer",
        "total_count": 5
      },
      {
        "display_name": "Engineering Manager",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Agile"
        ],
        "role_id": 121,
        "score": 0.2,
        "slug": "engineering-manager",
        "total_count": 5
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Data Analyst",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 143,
      "score": 0.86,
      "slug": "data-analyst",
      "total_count": null
    },
    "confidence": 0.86,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Audit analytics",
      "Risk identification and insight generation",
      "Data analysis and reporting",
      "Data modeling for audit use cases",
      "Continuous monitoring and auditing",
      "Stakeholder management",
      "Team leadership and coaching",
      "Agile delivery"
    ],
    "matched_kras": [
      "Lead, coach and guide small teams of analysts",
      "Drive innovation, identify risks and gain insights",
      "Assist in the governance and development of GIA\u2019s Data Platform",
      "Contribute to the design, development, testing and documentation of data modelling",
      "Contribute to the design and implementation of effective continuous monitoring and auditing strategies",
      "Work closely with key stakeholders to understand data flow",
      "Provide insight and guidance on the interpretation of reported exceptions/analytics outputs"
    ],
    "matched_skills": [
      "Hadoop",
      "Private Data Lake",
      "Dataiku",
      "Tableau",
      "data modelling",
      "data sourcing",
      "data preparation",
      "data transformation",
      "sampling",
      "continuous monitoring",
      "analytics",
      "Data Science",
      "Programming fundamentals",
      "Dashboard Design using Tableau",
      "agile philosophy"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Data Engineering \u0026 Analytics; The JD is centered on audit analytics, insights, dashboarding, and stakeholder-facing analysis/monitoring rather than deep engineering or BI platform administration.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 7,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 1683,
      "r_and_r_preview": "\u2022 This individual will be responsible for the following:\n\u2022 Lead, coach and guide small teams of analysts to drive innovation, identify risks and gain insights across the bank\u2019s audit risk areas using ",
      "role_display_name": "Data Analyst",
      "role_slug": "data-analyst",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 22201,
        "role_display_name": "Data Analyst",
        "role_slug": "data-analyst",
        "skill_name": "Dataiku",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 22202,
        "role_display_name": "Data Analyst",
        "role_slug": "data-analyst",
        "skill_name": "Data Science",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2010,
      "existing_alias_text": "Hadoop",
      "input_term": "Hadoop",
      "matched_canonical": {
        "category_id": 5,
        "display_name": "Hadoop",
        "id": 1351,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "hadoop",
        "sub_category_id": 91,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 359,
      "existing_alias_text": "Tableau",
      "input_term": "Tableau",
      "matched_canonical": {
        "category_id": 9,
        "display_name": "Tableau",
        "id": 150,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "tableau",
        "sub_category_id": 111,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 868,
      "existing_alias_text": "Agile",
      "input_term": "Agile",
      "matched_canonical": {
        "category_id": 8,
        "display_name": "Agile",
        "id": 520,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "agile",
        "sub_category_id": 3594,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [
    {
      "display_name": "Data Engineer",
      "id": 2,
      "rationale": null,
      "role_archetype": null,
      "slug": "data-engineer",
      "source": "db"
    },
    {
      "display_name": "Engineering Manager",
      "id": 121,
      "rationale": null,
      "role_archetype": null,
      "slug": "engineering-manager",
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    }
  ],
  "chosen_role": {
    "display_name": "Data Analyst",
    "id": 143,
    "rationale": "Domain=Data Engineering \u0026 Analytics; The JD is centered on audit analytics, insights, dashboarding, and stakeholder-facing analysis/monitoring rather than deep engineering or BI platform administration.",
    "role_archetype": null,
    "slug": "data-analyst",
    "source": "db"
  },
  "dimensions": [
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "ETL and ELT Tooling",
        "id": 24,
        "rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
        "slug": "etl-and-elt-tooling",
        "source": "db"
      },
      "input_skill": "Hadoop",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Engineer",
          "id": 2,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "BI and Visualization Tools",
        "id": 31,
        "rationale": "Tools used to expose curated data to analysts and business users through dashboards, reports, and semantic exploration. Data engineers support these tools by shaping reliable datasets and performant models.",
        "slug": "bi-and-visualization-tools",
        "source": "db"
      },
      "input_skill": "Tableau",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Engineer",
          "id": 2,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "React Frontend Development",
        "id": 96,
        "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "Agile",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Software Concepts, Patterns \u0026 Practices",
        "id": 478,
        "rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
        "slug": "software-concepts-patterns-practices",
        "source": "db"
      },
      "input_skill": "Agile",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Engineering Manager",
          "id": 121,
          "rationale": null,
          "role_archetype": null,
          "slug": "engineering-manager",
          "source": "db"
        }
      ]
    }
  ],
  "input_final_skills": [
    "Hadoop",
    "Dataiku",
    "Tableau",
    "Agile",
    "Data Science"
  ],
  "input_llm_skills": [
    "Hadoop",
    "Dataiku",
    "Tableau",
    "Agile",
    "Data Science"
  ],
  "new_aliases_persisted": 0,
  "run_id": "c47aca82-5b5f-4659-a574-b3a494d1833d",
  "skills_detail": [
    {
      "aliases_in_db": [
        {
          "alias_text": "Hadoop",
          "alias_type": "CANONICAL",
          "id": 2010,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 5,
        "display_name": "Hadoop",
        "id": 1351,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "hadoop",
        "sub_category_id": 91,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "ETL and ELT Tooling",
            "id": 24,
            "rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
            "slug": "etl-and-elt-tooling",
            "source": "db"
          },
          "input_skill": "Hadoop",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Hadoop",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Dataiku",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Engineering Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "dataiku",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Tableau",
          "alias_type": "CANONICAL",
          "id": 359,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "Tableau",
        "id": 150,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "tableau",
        "sub_category_id": 111,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "BI and Visualization Tools",
            "id": 31,
            "rationale": "Tools used to expose curated data to analysts and business users through dashboards, reports, and semantic exploration. Data engineers support these tools by shaping reliable datasets and performant models.",
            "slug": "bi-and-visualization-tools",
            "source": "db"
          },
          "input_skill": "Tableau",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Tableau",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Agile",
          "alias_type": "CANONICAL",
          "id": 868,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Agile",
        "id": 520,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "agile",
        "sub_category_id": 3594,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Agile",
          "llm_role": null,
          "roles_from_db": []
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Software Concepts, Patterns \u0026 Practices",
            "id": 478,
            "rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
            "slug": "software-concepts-patterns-practices",
            "source": "db"
          },
          "input_skill": "Agile",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Agile",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Data Science",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "data-science",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Dataiku",
    "Data Science"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Data Analyst",
    "id": 143,
    "rationale": "Domain=Data Engineering \u0026 Analytics; The JD is centered on audit analytics, insights, dashboarding, and stakeholder-facing analysis/monitoring rather than deep engineering or BI platform administration.",
    "role_archetype": null,
    "slug": "data-analyst",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Hadoop",
      "tag": "in_db"
    },
    {
      "skill": "Dataiku",
      "tag": "new"
    },
    {
      "skill": "Tableau",
      "tag": "in_db"
    },
    {
      "skill": "Agile",
      "tag": "in_db"
    },
    {
      "skill": "Data Science",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 143,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "ETL and ELT Tooling",
          "id": 24,
          "rationale": "Packaged tools for extracting, loading, and transforming data across systems. This dimension covers connector-based ingestion, transformation frameworks, and managed integration products.",
          "slug": "etl-and-elt-tooling",
          "source": "db"
        },
        "dimension_id": 24,
        "input_skill": "Hadoop",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
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