Head of Corporate Data Foundations

What you'll do

• Define and execute a unified data strategy across technology stacks (DaaP/Azure, Hadoop/Vertica/GCP)
• Establish a single enterprise data governance framework and certified reporting layer
• Act as the single accountable owner and senior entry point for corporate data, reporting and governance
• Provide AI ready data foundations for agentic products and internal AI enablement
• Own the multi-year roadmap for corporate data platform, governance, and insights aligned with company goals
• Harmonize data architecture across Internal IT and R&D into a unified AI-ready corporate data platform
• Run cross-functional prioritization and steering forums and report progress to CTO and leadership
• Define and enforce a single enterprise data governance framework across departments
• Own data catalog, ownership model, KPI standards and quality controls for trusted data and compliance
• Build certified reporting and dashboards under SLAs for key stakeholders
• Clarify ownership between Finance, local AX and central data organization for data models and certified datasets
• Co-own governance, backlog and architecture decisions for AI-related data structures with AI Enablement teams
• Define decision rights, SLAs and escalation paths to avoid slow-downs on AI use cases
• Complete development of Data Foundations operating model and organizational design
• Partner with People team to build and develop leadership and IC community across data engineering, architecture, governance, enablement and reporting

Requirements

• 15+ years in data platforms / analytics / enterprise data strategy roles
• 7+ years leading multi-disciplinary data or engineering organizations (50+ people) in complex, matrixed environments
• Experience building or scaling an enterprise grade data platform (data lake / warehouse / lakehouse) and governance frameworks in a global company
• Strong background partnering with Finance, Product and Operations on data, reporting and control topics
• Experience operating at executive level including strategy definition, investment cases, and steering cross functional programs
• Exposure to AI / MLOps and AI driven transformation
• Ability to define and communicate a clear data & AI narrative connecting platform and governance investments to business outcomes
• Strong architectural literacy across modern data stacks and AI/ML platform integration
• Proven strength in organizational design and change management
• Excellent stakeholder management and communication skills
• Comfortable balancing strategic thinking and hands on execution

Tech stack

Benefits