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Pipeline run

d069e84b-8200-433e-a73c-7a74d4209349

Pipeline LLM cost (USD)
API 1: $0.0078 API 2: $0.0000 API 3: $0.0000 Total: $0.0078

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
—
no_db_connection
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
2.70 / 5
· Title match
✓ Has AI skill
✓ AI skill (primary)
· AI skill (secondary)
· On AI team
✓ Builds AI products
"Own how AI is used within the BA practice — decide which AI tools to adopt or build, and how."
vocab breakdown (legacy)
Assistants (×1): —
Frameworks (×2): —
Models / concepts (×3): AI, GenAI
Evidence — skills matched in JD (3)
Agile AI claims
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Show KRA description ↓
Practice Strategy & Excellence • Set the direction and plan for growing the Business Analysis Practice and build the practice's structure — how BAs are organized, trained, and grow within the practice. • Set common standards and ways of working for business analysis across the company. • Keep BA practices modern and aligned with current methods (Agile, product thinking, AI etc.). • Bring in new tools and techniques to keep the practice ahead of the curve. Capability Building & Talent Development • Build a clear career path for BAs — from junior to senior levels. Mentor and develop future BA leaders. • Create training programs and certifications to build BA skills. Domain Expertise & Knowledge Management • Build deep insurance domain expertise across verticals and across the BA team — covering key areas like underwriting, policy administration, claims, Billing/Finance and Reinsurance. • Build strong understanding of insurance data (policy, claims, underwriting, actuarial) to help BAs bridge business needs and technical/data solutions. • Create reusable insurance-specific assets — templates, process maps, and reference models. AI Enablement & Innovation • Own how AI is used within the BA practice — decide which AI tools to adopt or build, and how. • Build AI-powered templates and tools that help BAs work faster and better (e.g., for writing requirements or documentation). • Make sure AI is used responsibly — with attention to data privacy and proper checks. Consulting Excellence & Client Advisory • Serve as the primary bridge between business and technology — ensuring business needs translate into technology requirements, and technology capabilities are understood by business stakeholders. • Act as a senior advisor on BA and domain topics for key client relationships. Market Positioning & Business Growth • Build articles, frameworks, points of view, and content that showcase the practice's approach to business analysis and insurance domain consulting. • Create marketing content (case studies, capability decks, solution one-pagers) that helps position the practice to clients and the market. • Work with presales and sales teams to strengthen proposals with strong BA content. • Support new business pitches with practice examples, case studies, and ideas. • Spot opportunities to grow business using the practice's strengths with existing/new customers.

Signals

Skill engineering-manager
0.50
Alias —
—
KRA ai-compliance-officer
0.56

Post-classification

Centroid—
Alias collision log—
New-role queue#125
New skills captured0
New KRA captured—
Status: extract_from_jd_done Created: 2026-09-19T16:50:39.385327Z Updated: 2026-09-24T06:29:10.952847Z
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

No chosen role stored for this run.

Job description

Business Analysis Practice Lead 
Location: Hyderabad  
Employment Type: Full-Time  
Reporting To: Director, Client Services & Assurance 
 
Role Purpose 
The Business Analysis Practice Lead will build and grow Manomay's Business Analysis Practice 
into a strong, capable team known for its quality and its ability to act as the 'Business-
Technology' Liaison — ensuring client needs translate into effective, technology-enabled 
solutions. The role carries strong ownership of building deep insurance domain expertise across 
the practice, along with strong Business-Technology thinking. 
 
This role is about building the practice, with required insight into delivery (primarily 
understanding customers and projects). The person in this role will focus on people, skills, 
knowledge, and tools that make our BA teams better. 
 
Key Responsibilities 
Practice Strategy & Excellence 
• Set the direction and plan for growing the Business Analysis Practice and build the 
practice's structure — how BAs are organized, trained, and grow within the practice. 
• Set common standards and ways of working for business analysis across the 
company. 
• Keep BA practices modern and aligned with current methods (Agile, product 
thinking, AI etc.). 
• Bring in new tools and techniques to keep the practice ahead of the curve. 
Capability Building & Talent Development 
• Build a clear career path for BAs — from junior to senior levels. Mentor and develop 
future BA leaders. 
• Create training programs and certifications to build BA skills. 
Domain Expertise & Knowledge Management 
• Build deep insurance domain expertise across verticals and across the BA team — 
covering key areas like underwriting, policy administration, claims, Billing/Finance 
and Reinsurance 
• Build strong understanding of insurance data (policy, claims, underwriting, 
actuarial) to help BAs bridge business needs and technical/data solutions. 
• Create reusable insurance-specific assets — templates, process maps, and 
reference models 
AI Enablement & Innovation 
• Own how AI is used within the BA practice — decide which AI tools to adopt or build, 
and how. 
• Build AI-powered templates and tools that help BAs work faster and better (e.g., for 
writing requirements or documentation). 
• Make sure AI is used responsibly — with attention to data privacy and proper 
checks. 
Consulting Excellence & Client Advisory 

• Serve as the primary bridge between business and technology — ensuring business 
needs translate into technology requirements, and technology capabilities are 
understood by business stakeholders.  
• Act as a senior advisor on BA and domain topics for key client relationships. 
Market Positioning & Business Growth 
• Build articles, frameworks, points of view, and content that showcase the practice's 
approach to business analysis and insurance domain consulting.  
• Create marketing content (case studies, capability decks, solution one-pagers) that 
helps position the practice to clients and the market. 
• Work with presales and sales teams to strengthen proposals with strong BA content. 
• Support new business pitches with practice examples, case studies, and ideas. 
• Spot opportunities to grow business using the practice's strengths with existing/new 
customers. 
Qualifications 
• Bachelor’s degree in business, Technology, Engineering, Information Systems, or related 
field.  
• MBA preferred.  
• 12+ years of experience in Business Analysis, Consulting, or Business Transformation.  
• Experience building or growing a Business Analysis practice, CoE, or similar capability.  
• Deep experience in the Insurance domain (e.g., underwriting, claims, policy 
administration, billing/finance, reinsurance etc.) with hands – on experience across a 
minimum of two verticals – P&C, Health, Life and Pensions etc. 
• Experience across other BFSI verticals is a plus.  
• Experience mentoring or developing BA talent and building training or career 
development programs.  
• Exposure to applying AI/GenAI in business analysis or consulting work is a strong plus.  
• Relevant certifications (e.g., CBAP, AINS, CPCU) are desirable but not mandatory.  
• Experience representing a practice externally — through speaking, writing, or industry 
forums — is a plus. 
 
Measures of Success 
• Practice maturity and scalability 
• Growth in BA competencies 
• Creation of reusable IP and domain assets 
• Adoption of AI-enabled BA practices 
• Contribution to proposal quality and business growth 
• Development of future BA leaders 
• Increased market recognition of Manomay's consulting capabilities

Skills from this JD

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

Agile Primary No API 2 row (run stopped after API 1 or history missing)
AI Primary No API 2 row (run stopped after API 1 or history missing)
claims Secondary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleBusiness Analysis Practice Lead
CompanyManomay
Experience12+ years of experience in Business Analysis, Consulting, or Business Transformation
DomainInsurance
Location Hyderabad, India (onsite)
JD type pass

Certifications

CBAP AINS CPCU
Show raw JSON
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API 1 — extract-from-jd click to toggle
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          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Work with presales and sales teams to strengthen proposals with strong BA content.",
            "similarity": 0.423
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 74,
        "score": 0.4407,
        "slug": "flutter-developer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Engineering Manager",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Agile"
        ],
        "role_id": 121,
        "score": 0.5,
        "slug": "engineering-manager",
        "total_count": 2
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "D",
    "chosen_role": null,
    "confidence": 0.23,
    "consensus_evidence": {},
    "is_new_role": false,
    "llm2_fired": true,
    "llm2_reasoning": "The JD focuses on practice leadership, team structuring, standards, career paths and agile adoption, which aligns more closely with an Engineering Manager\u2019s responsibilities than an AI compliance-focused role.",
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
    "new_role_domain": null,
    "new_role_slug": null,
    "queued": true,
    "reasoning": "LLM2 unsure (confidence 0.23 \u003c 0.7); queueing",
    "role_aliases": [],
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": null,
    "centroid_updated": false,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [],
    "queue_entry_id": 125,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{}
API 3 — final-role-output
{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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