Data Product Owner – Analytics

The Data Product Owner - Analytics plays a critical role in driving Schneider Electric's data-driven decision-making culture.

This role leads the strategy, roadmap, and delivery of analytics products-primarily dashboards and insights solutions-across key business verticals such as Sales, Marketing, Customer Support, Supply Chain, Finance and Operations.

Acting as the bridge between business stakeholders and technical teams, the Data Product Owner ensures that analytics products deliver actionable insights, are user-centric, and support Schneider Electric's broader Data & Performance mission of enabling performance management through trusted, scalable, and high-quality data.

What will you do:



* Product Vision & Strategy



* Define and own the product vision for analytics solutions across Schneider Electric business functions.


* Translate high-level business requirements into use cases, user stories, and performance metrics.


* Become a trusted domain expert who advises business stakeholders on the right KPIs, data structures, and performance frameworks.


* Work closely with business leaders to identify decision-making needs, data pain points, and optimization opportunities.


* Stay continuously updated with BI and data trends to identify innovative features and improvements.



* Analytics Product Development



* Lead the end-to-end lifecycle of analytics products-from conception to deployment and iteration.


* Prioritize the product backlog based on business impact, user value, and technical feasibility.


* Oversee the design and structure of dashboards, ensuring clarity, relevance, and excellent UX for different user personas.


* Collaborate with data engineering and BI teams to ensure scalable data pipelines and efficient data models.


* Ensure content alignment with Schneider's unified data layer, promoting consistency and data trustworthiness.


* Understand where Schneider's data is stored, how it flows across systems, and how to effectively access datasets within the Schneider data ecosystem (data lake, reference data, APIs, BI layers, etc.).



* Stakeholder & Cross-Functional Collaboration



* Act as the main liaison between business teams (Sales, Marketing, Customer Support, etc.) and technical squads (data engineers, BI developers, UX designers).


* Lead workshops, requirement sessions, and demos to ensure stakeholder alignment.


* Provide clarity, guidance, and prioritization for technical teams throughout sprint cycles.


* Influence and convince stakeholders to adopt standardized dashboards, KPIs, and data practices.


* Build credibility so that business teams rely on the PO's expertise when defining KPIs, performance logic, and analytical frameworks.



* User Experience & Adoption



* Ensure analytics solutions deliver intuitive, clean, and role-based user experiences.


* Drive adoption across geographies and business units through training, ...