D2P Data & Analytics Technical Product Owner - RDT ERP

Description

This role sits in the Demand-to-Pay (D2P) Data & Analytics area and works alongside the Product Manager to deliver Data, Analytics and AI solutions across procurement, accounts payable and travel and expense management.

The job blends product ownership, business analysis, techno-functional solution oversight, delivery and vendor management, and service management. You turn business priorities into roadmaps, requirements and scalable Data & AI solutions with stakeholders, architects, engineers, data scientists and delivery partners.

The area supports Global Procurement, Diagnostics Direct Procurement and RSS Operations with analytics and data products, and turns functional strategy into measurable outcomes on the group's global Data & AI platforms.

The company develops medicines and diagnostics, and its culture values personal expression, open dialogue and respect for each person.

Responsibilities

• Turn product strategy and business needs into a roadmap, backlog, requirements and delivery priorities.
• Serve as the everyday link between business stakeholders, technology teams and delivery partners.
• Apply your functional knowledge of procurement and accounts payable.
• Shape scalable Data & AI solutions with architects, data engineers and data scientists.
• Oversee the techno-functional side of Snowflake, Talend, data integration, analytics, GenAI and AI-enabled workflows.
• Review and question solution designs, technical approaches, estimates and delivery proposals.
• Manage external delivery partners and vendors, keeping an eye on their quality, capacity and performance.
• Make sure services meet agreed SLAs, KPIs, quality and operating standards, and lead corrective action when they do not.
• Manage delivery risks, dependencies, incidents, technical debt and continuous improvement.
• Coach team members and delivery partners to build their Data, Analytics and AI skills.

Requirements

• A bachelor's degree in computer science, engineering, business, finance or a related field.
• 12+ years in product ownership, business analysis, data and analytics, or similar techno-functional roles.
• Experience with procure-to-pay (P2P) and accounts payable processes.
• Experience delivering Data, Analytics or AI solutions in a large enterprise.
• Experience working with external delivery partners or vendors.
• Working knowledge of SAP BW and ERP, including S/4, and of P2P areas such as sourcing, supplier management, purchasing, invoicing and payments.
• Proven experience with non-ERP procurement systems and integrating them with enterprise ERP platforms.
• Hands-on Snowflake skills, with solid SQL and API-based data integration.
• Familiarity with modern Data & AI concepts such as GenAI, RAG, semantic search and AI agents.
• Ability to understand and challenge solution designs, data models, integrations and technical approaches.
• Ability to turn business needs into clear requirements, user stories and delivery priorities.
• Strong stakeholder management and communication skills.
• Ability to work across business, technology and vendor teams.
• Experience managing delivery performance, SLAs, KPIs and service quality.
• A proactive approach focused on business value, continuous improvement and reducing technical debt.
• Ability to mentor people and help grow stronger Data & AI capabilities.

Conditions

Reference code: RDT2026.

The company welcomes applicants from every background and treats all candidates equally.