Early Afternoon Q&A – Data Governance & Enterprise Alignment
Early Afternoon Q&A – Data Governance & Enterprise Alignment
Practical guidance on ownership, alignment and long‑term sponsorship for people data.
This short, practical conversation tackles the governance decisions that determine whether people‑data initiatives succeed or stall. It examines how ownership works in reality, how to align HR with enterprise data teams, and how to present an investment case that resonates with senior sponsors. The session offers candid guidance on maintaining momentum, adapting roles and making governance workable in decentralised organisations.
This session explores
- Clarifying ownership between HR, People Analytics and enterprise data teams.
- Designing governance that works in decentralised organisational structures.
- Building business cases for data investment that resonate with senior leaders.
- Maintaining sponsorship and momentum over multi‑year data programmes.
- Planning role and responsibility shifts in HR and data functions.
Learning outcomes
- Recognise which governance elements suit your structure and maturity.
- Understand how to secure and sustain senior sponsorship for data programmes.
- Know how to frame investment cases for HR and CDO audiences.
- Identify role or ownership changes required for effective data governance.
- Spot early risks when working across decentralised data environments.
26 February 2026
14:45-14:55 CET
Value
Lens
Learning Pathways
Why this matters
Organisations are scaling AI, HR platforms and workforce reporting under growing regulatory scrutiny. Without clear ownership, aligned standards and sustained sponsorship, efforts to fix data foundations stall quickly. Senior HR, People Analytics and Data leaders need governance models that work across decentralised structures and support long‑term investment, compliance and decision‑quality.