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, documentation, and communication campaigns.

Conduct regular user feedback loops to refine dashboard features and functionality.

Ensure seamless navigation, proper access control, and overall performance optimization.

Data Quality, Governance & Security Promote and enforce data quality, consistency, lineage, and governance across analytics assets.

Collaborate with governance and security teams to ensure compliance with PII, confidentiality, and global access rules.

Support automation of data flows from source systems to dashboards using standardized processes.

Innovation & Continuous Improvement Collaborate with platform owners and architects to explore AI-driven analytics, predictive modeling, and automation.

Introduce new visualizations, BI components, and advanced analytics features as appropriate.

Benchmark dashboard performance and drive iterative improvements based on usage insights.

What will make you successful: 5–8 years of experience in analytics, BI product ownership, or digital product management.

Strong background in data analytics concepts, KPI frameworks, and performance management.

Demonstrated ability to become a trusted advisor to business teams for KPI definition and analytics decisions.

Experience: leading cross-functional agile teams and managing complex stakeholder landscapes.

Qualifications: Bachelor’s or master’s degree in Data Analytics, Computer Science, Engineering, Business Analytics, or equivalent.

Let us learn about you!

Apply today.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters.

At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success.

We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play.

It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations You must submit an online application to be considered for any position with us.

This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values.

We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value.

Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer.

It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

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, documentation, and communication campaigns.

Conduct regular user feedback loops to refine dashboard features and functionality.

Ensure seamless navigation, proper access control, and overall performance optimization.

Data Quality, Governance & Security Promote and enforce data quality, consistency, lineage, and governance across analytics assets.

Collaborate with governance and security teams to ensure compliance with PII, confidentiality, and global access rules.

Support automation of data flows from source systems to dashboards using standardized processes.

Innovation & Continuous Improvement Collaborate with platform owners and architects to explore AI-driven analytics, predictive modeling, and automation.

Introduce new visualizations, BI components, and advanced analytics features as appropriate.

Benchmark dashboard performance and drive iterative improvements based on usage insights.

What will make you successful: 5–8 years of experience in analytics, BI product ownership, or digital product management.

Strong background in data analytics concepts, KPI frameworks, and performance management.

Demonstrated ability to become a trusted advisor to business teams for KPI definition and analytics decisions.

Experience: leading cross-functional agile teams and managing complex stakeholder landscapes.

Qualifications: Bachelor’s or master’s degree in Data Analytics, Computer Science, Engineering, Business Analytics, or equivalent.

Let us learn about you!

Apply today.