Data Experience Delivery Lead

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Sonepar is an independent family-owned group and a world leader in the distribution of electrical equipment, solutions and related services to the trade. In 2025, Sonepar generated a turnover of €33.6 billion. With a presence in 40 countries and an extensive network of retail outlets, the Group is undertaking an ambitious transformation to make life easier for its customers by offering them an omnichannel experience and a range of sustainable solutions for the industrial, construction and energy sectors. Our 46,000 employees are committed to the electrification of the world and united by a shared Purpose: “Power Progress for Future Generations.

How will you shape our tomorrow

You will lead delivery across Sonepar’s Data Experience (DX) portfolio, turning strategic priorities into clear, executable, and outcome-focused delivery plans spanning data products, analytics, AI, PDx, platform capabilities, migration, and Operating Company onboarding.

You will establish an end-to-end delivery rhythm from discovery through build, release, adoption, and stabilization. Working closely with Product Owners, Product Managers, architects, engineering leads, data domain leads, platform teams, partners, and business stakeholders, you will ensure that initiatives are sufficiently shaped, feasible, prioritized, staffed, dependency-aware, and ready before teams commit to delivery.

You will provide cross-team visibility and control across roadmaps, backlogs, milestones, capacity, risks, dependencies, quality, budget, and outcomes. You will facilitate timely decisions, remove impediments, manage escalations, and ensure that governance supports delivery rather than creating unnecessary overhead.

You will help mature the DX operating model by embedding predictable delivery practices, transparent metrics, strong ownership, continuous improvement, and a collaborative culture. Your impact will be measured through improved predictability, faster time to value, higher delivery quality, stronger stakeholder confidence, and sustainable adoption across countries and business domains.

What success looks like

• A single, transparent delivery view brings together priorities, roadmap, milestones, capacity, commitments, dependencies, risks, decisions, and outcomes across DX streams.
• Discovery and readiness gates ensure that scope, value, data availability, architecture, non-functional requirements, dependencies, acceptance criteria, and delivery ownership are sufficiently clear before commitment.
• Planning and governance cadences are purposeful, decision-oriented, prepared in advance, and supported by reliable information rather than status reporting alone.
• Delivery commitments are realistic, evidence-based, aligned with available capacity, and traceable to business objectives and measurable outcomes.

End-to-End Execution & Predictability

• Initiatives move effectively from discovery and prioritization through build, integration, QA, UAT, release, deployment, hypercare, and transition to run.
• Milestones and critical paths are actively managed, with delivery variance identified early and recovery options made explicit.
• Teams maintain healthy backlogs with clear ownership, appropriate refinement, actionable work items, and visible readiness for upcoming Program Increments or delivery cycles.
• Cross-team dependencies across feature, migration, platform, architecture, governance, integration, security, operations, and OpCo teams are identified, owned, confirmed, and tracked to closure.
• Risks, assumptions, issues, and decisions are documented with owners, due dates, business impact, mitigation actions, and clear escalation paths.
• Vendor and partner delivery is integrated into the overall plan and held to agreed quality, documentation, security, and delivery expectations.

Quality, Release & Operational Readiness

• Quality is built into delivery through clear acceptance criteria, test strategy, data validation, QA, UAT, non-functional requirements, and release controls.
• Production readiness includes monitoring, support model, runbooks, ownership, incident and problem processes, rollback or recovery considerations, and hypercare planning.
• Release and deployment plans are coordinated across affected teams and countries, with communication, change, adoption, and support needs addressed before go-live.
• Technical debt and operational risks are visible, prioritized, and balanced transparently against feature delivery and strategic commitments.

Stakeholder Alignment & Measurable Outcomes

• Business and technology stakeholders have a shared understanding of priorities, sco