Pipeline run

Job description

Data and AI Engineer

Job Description

#EOS

#PHILIN

Job title:
Data and AI Engineer

In this role, you

shape the digital platform of Philips Service Parts Supply Chain with a focus on Artificial Intelligence (AI) implementations, connecting /integrating elements such as workflow applications, process automation, Control Tower, and supplier collaboration applications.

You are responsible for
• Co-developing and implementing Service Parts Supply Chain (SPS) Digital Platform Strategy & Roadmap in collaboration with stakeholders.
• Securing a data and digital platform architecture that enables integration with existing applications and extensions with new technologies, especially with AI.
• Ensuring SPS data and digital platform architecture is documented and well understood by key stakeholders.
• Securing the right software quality through the execution of the software validation process as required.
• Acting as a point of contact in case of data and digital platform questions at the business level.
• Leading, designing, and co-developing AI solutions and other applications in collaboration with IT and other partners to enhance customer experience and ensure operational excellence while safeguarding SPS processes.
• Leading specific investigation and deployment projects.
• Supporting business and IT by sharing knowledge, experience and perspective.
• Supporting business with data and digital platform issues.
• Supporting business in clean-up following incident resolution.

You are a part of
• Philips Circular Lifetime Solutions organization
• Service Parts Supply Chain group
• Supply Chain Architecture team

Service Parts Supply Chain (SPS) is the single service parts provider within Philips Healthcare. SPS is responsible for the total service parts supply chain from the factory/suppliers to the regions. The strategy is to maximize the service part availability, minimize the total cost of operation and minimize the inventory level. To realize this strategy, SPS operates a global service parts network, including supply management, strategic planning, supply chain execution systems, forward Logistics (warehouse/distribution), Business Partner Management, reverse logistics and IT tools.

To succeed in this role, you should have the following skills and experience
• Bachelor's / Master's Degree in Industrial Engineering, Operations, Supply Chain Management, Software Engineering or equivalent.
• 8+ years of Experience with and passion for data and digital platform architecture, and AI implementations, preferably in the Supply Chain domain.
• Strategic thinking, systems thinking and creativity.
• (8+ years) Hands-on experience in programming and databases, including scripting.
• Experience in software validation preferred.
• Able to work on multiple projects at once at both an individual and team level.
• Result oriented, persuasive, encouraging and motivating, and able to drive performance across functions.
• Fluent in English (verbal and written).
• Strong communication and presentation skills, and ability to interact effectively with colleagues on management and leadership level.
• Proven global skills; experience in a cross-cultural environment teamwork.
• Project management skills.
• Good prioritization skills, keeping what is most important to the success of the business always in view.

Skills from this JD

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

Library artifacts (this run)