Data & AI Product Expert M&S

About the Job

The Data & AI Product Expert is responsible for driving data- and AI-powered use cases across the Manufacturing & Supply (M&S) domain, covering Supply Chain, Manufacturing, Quality, and HSE (Health, Safety and Environment). The ideal candidate will have a minimum of 10 years of experience in data analytics. While the role spans all M&S domains, the primary focus areas are Supply Chain and Manufacturing, which represent the core value drivers of the position. The role combines deep SAP expertise with strong capabilities in Ontology / Semantic Layer design, data product ownership, and AI solution development, with a strong hands-on execution component.

Main responsibilities:

• Stakeholder Engagement: Acting as a Forward Deployed Engineer (FDE), closely collaborate with Supply Chain, Manufacturing, Quality and HSE stakeholders, embedding within business teams to identify and deliver high-value Data & AI use cases.
• Hands-on Delivery: Actively work directly within systems (SAP, Snowflake / Databricks, DBT, Power BI and AI tools), ensuring both design and execution.
• Data & AI Use Case Leadership: Lead end-to-end Data & AI use cases from ideation to industrialization.
• Ontology / Semantic Layer Design: Design and implement scalable ontology-driven semantic layers integrating SAP and enterprise data.
• Dashboard & Application Development: Build Power BI dashboards and contribute to AI-driven applications.
• Data Governance & Validation: Ensure quality, lineage and compliance across M&S domains.

About You:

Required Skills & Qualifications

• Business Understanding: Strong Supply Chain and Manufacturing expertise (primary focus), with exposure to Quality and HSE.
• SAP Expertise (Mandatory): Minimum 5 years hands-on SAP experience in M&S domains.
• Hands-on Technical Capability: Proven ability to implement solutions directly in systems.
• AI & Data Product Development: Experience delivering ML and GenAI solutions.
• Technical Skills: Snowflake / DataBricks, DBT, Power BI and AI tools expertise.
• Experience: 10+ years in M&S data environments.
• Education: Degree in Engineering, Data Science or related field.

Soft and Behavioral Skills

• Challenger Mindset: Demonstrates a proactive and questioning mindset, constantly challenging the status quo and driving innovation in Data & AI use cases.
• All In, Together: Strong collaboration across global, cross-functional teams, acting as a bridge between business and technical stakeholders in an FDE setup, fully aligned with shared objectives.
• Outcome-obsessed: Focuses relentlessly on delivering measurable business impact, prioritizing high-value outcomes, particularly in Supply Chain and Manufacturing.
• Courageous: Takes ownership, makes decisions in complex environments, and drives initiatives forward end-to-end, even under uncertainty.
• Radically Simple: Ability to simplify complex data, SAP processes, and AI solutions into clear, actionable insights and scalable products.
• Ownership & Accountability: Takes full ownership of delivery, ensuring not only solution design but also hands-on implementation and successful deployment.
• Communication: Clear and structured communication adapted to both business and technical audiences.
• Problem Solving: Strong analytical and critical thinking capabilities, focused on delivering pragmatic and scalable solutions.