Audit, take over, lead.
Clear product leadership with EU privacy and AI governance built in.
Product Owner Data & AI for audits, product direction, delivery leadership or takeover. Roadmap, LLM agents, GDPR, AI Act and data quality.
What I Do
Assess
Data & AI platform audit and governance review with EU privacy and AI governance built in: architecture maturity, data product and LLM/agent use case mapping, unclear responsibilities, technical dependencies, risks, and decisions to make. GDPR and AI Act topics are analyzed at the level of the relevant deliverables, not as a separate layer.
- Platform, data product, and LLM/agent use case mapping
- Value, feasibility, data, and risk analysis
- Governance framework and responsibilities
- GDPR/AI Act analysis for relevant deliverables
Build
Taking over a data product or data program from roadmap to production with EU privacy and AI governance built in: roadmap decisions, prioritization, product specs, engineering coordination, and operational governance. LLM/agent topics are framed as products: accessible data, allowed actions, human handover, and value measurement. GDPR/AI Act requirements are built into critical deliverables when they apply.
- Roadmap leadership from scoping to production
- Product specs for LLM, agents, and data products
- Engineering coordination and delivery
- Data catalogue, quality monitoring, and GDPR/AI Act requirements when needed
Lead
Senior product leadership, part-time or interim, to take over a data and AI scope with EU privacy and AI governance built in: product roadmap, build-vs-buy arbitration for LLM/agents, delivery coordination, executive communication, and cross-team alignment across product, engineering, business, and legal. Architecture oversight and AI Act preparation support the product decisions.
- Product roadmap leadership & executive reporting
- Build-vs-buy arbitration for LLM, agents, and platforms
- Cross-team alignment & capability building
- Architecture oversight & AI Act preparation
How I Work
1. Discovery & Stakeholder Mapping
Understanding your data and AI landscape, including existing LLM or agent use cases, then mapping stakeholders across product, engineering, business, legal, and compliance. Identifying where unclear leadership creates delivery bottlenecks and where objectives diverge between teams.
2. Roadmap & Governance Design
Building the product roadmap. Use cases, including LLM and agents, are prioritized by business ROI, technical feasibility, risk, and compliance impact. The governance framework (GDPR, AI Act) is designed as product requirements, not afterthoughts. Rapid iterations, not big-bang plans.
3. Delivery & Coordination
Roadmap arbitration, priority management, and engineering coordination. Data products move forward through continuous dialogue between business, IT, and legal. When trade-offs arise, the goal is to preserve business value, technical feasibility, and compliance.
4. Enablement & Optimization
Knowledge transfer to your technical, business, and legal teams so everyone understands the full picture. Continuous optimization through regular reviews where we challenge performance, costs, and metrics to improve outcomes over time.
Thirty minutes to scope the perimeter, understand the blockers, and identify the first useful decisions.
Reply within 48h