Senior Product Owner (Functional) – Data & Analytics
Schneider Electric
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Job summary
Schneider Electric in Bengaluru seeks a Senior Functional Product Owner (Data & Analytics) to own end-to-end data products, analytics, and enterprise data capabilities. You'll bridge business, data engineering, and analytics to deliver trusted insights and high-quality dashboards.
You will lead data product strategy, manage backlogs, define KPIs, and mentor teams while driving adoption and business impact across functions. This role sits in a dynamic data-driven environment.
Qualifications
- 8–15+ years in Product Ownership / Business Analysis / Data roles.
- Strong understanding of data modeling, KPI frameworks.
- Experience in Agile/Scrum environments.
- Strong stakeholder management and communication skills.
Responsibilities
- Define and own data product strategy, roadmap, and value realization.
- Translate business needs into KPIs, metrics, and data models.
- Own backlog across data pipelines, models, and BI dashboards.
- Lead UAT including reconciliation and KPI validation.
- Collaborate with data engineers, BI developers, and architects.
Skills
Tools
Job description
The Senior Functional Product Owner (Data & Analytics) owns the end-to-end delivery of data products, analytics solutions, and enterprise data capabilities. The role bridges business, data engineering, and analytics teams to deliver trusted, high-quality data and actionable insights.
- Define and own data product strategy, roadmap, and value realization
Translate business needs into KPIs, metrics, and data models
Design data flows from source systems to analytics consumption
Own backlog across data pipelines, models, and BI dashboards
Define data quality rules (accuracy, completeness, consistency)
Collaborate with data engineers, BI developers, and architects
Ensure delivery of high-quality dashboards and analytics
Lead UAT including reconciliation and KPI validation
Manage stakeholders and communicate data insights
Track product value via adoption, quality, and business impact
Enable advanced analytics use cases (AI/ML, predictive insights)
Mentor team members and promote data literacy
- 8–15+ years in Product Ownership / Business Analysis / Data roles
Strong understanding of data modeling and KPI frameworks
Experience in Agile/Scrum environments
Strong stakeholder management and communication skills
- SQL knowledge (joins, aggregations)
Data warehousing concepts
BI tools (Power BI, Tableau, Looker)
Familiarity with cloud platforms (Azure, AWS, GCP)
- Data accuracy and reliability
Adoption of analytics solutions
Reduction in data defects
Business impact and stakeholder trust
- Define and own the roadmap for data and analytics products (dashboards, data models, semantic layers, data services, AI agents )
- Align data initiatives with business strategy, KPIs, and enterprise data vision
- Identify high-impact use cases:
- Operational reporting
- Advanced analytics / AI use cases
- Decision intelligence
- Prioritize based on data value, business ROI, and user impact
- Lead discovery of data requirements across business domains
- Translate business questions into:
- KPIs and metrics
- Data models and datasets
- Analytical outputs
- Define:
- Metric logic (formulas, aggregations)
- Data definitions (business glossary)
- Transformation rules
- Ensure alignment on “single source of truth” metrics across the organization
- Experience in one or more domains:
- Procurement / Supply Chain
- Finance
- Digital platforms
- Data & Analytics
- Design end-to-end data flows and functional architecture:
- Source systems → Data pipelines → Data models → Visualization
- Define requirements for:
- Data ingestion and processing
- Data transformations and enrichment
- Analytical datasets and semantic layers
- Collaborate with architects to align with data platform standards
- Own a multi-layered backlog, including:
- Data ingestion pipelines
- Data modeling (facts/dimensions)
- BI dashboards
- Data quality improvements
- Prioritize work considering:
- Business value
- Dependency on upstream systems
- Data availability and quality
- Ensure all stories include:
- Data logic
- Acceptance criteria (data validation rules, thresholds)
- Work closely with:
- Data Engineers (ETL/ELT pipelines)
- Data Architects (data models, platforms)
- BI Developers (visualization layers)
- Data Scientists (ML/AI use cases)
- Translate business needs into clear, technically feasible requirements
- Ensure alignment between:
- Functional requirements
- Technical implementation
- Performance and scalability expectations
- Ensure delivery of high-value analytics solutions, such as:
- Executive dashboards
- Operational reporting
- Self-service analytics
- Validate that insights are:
- Accurate
- Actionable
- Business-friendly
- Drive adoption of data-driven decision-making
- Define comprehensive data validation strategies, including:
- Source-to-target reconciliation
- KPI validation
- Historical comparisons
- Lead UAT with business teams to ensure:
- Trust in data outputs
- Business usability of analytics
- Ensure all data products meet acceptance thresholds
- Engage with:
- Business leaders
- Functional SMEs
- Data governance bodies
- Translate technical data concepts into business insights and narratives
- Manage expectations on:
- Data availability
- Data limitations
- Delivery timelines
- Define and monitor success metrics for data products, such as:
- Adoption rate of dashboards
- Data quality improvements
- Business impact (revenue, cost savings, efficiency)
- Establish feedback loops for continuous improvement
- Identify opportunities for:
- Predictive analytics
- Prescriptive insights
- AI/ML integration
- Translate business problems into data science use cases
- Ensure outputs are integrated into business workflows
- Mentor junior Product Owners and Data Analysts
- Drive best practices in:
- Data requirement definition
- KPI standardization
- Data product thinking
- Promote data literacy across business teams
- 8–15+ years in:
- Product Ownership / Business Analysis
- Data & Analytics / BI environments
- Proven experience delivering data-driven products at scale
- Strong understanding of:
- Data modeling (facts, dimensions, star schema)
- KPIs, metrics, and analytical thinking
- Expertise in:
- Requirement gathering for data products
- Writing data-focused user stories and acceptance criteria
- Strong stakeholder management and communication
- Working knowledge of:
- SQL (joins, aggregations, validations)
- Data warehousing concepts
- Familiarity with:
- Cloud data platforms (Azure, AWS, GCP)
- BI tools (Power BI, Tableau, Looker)
- Understanding of:
- ETL/ELT pipelines
- Data governance frameworks
- Accuracy and reliability of data products
- Adoption of analytics solutions by business users
- Reduction in data issues and rework
- Delivery of measurable business outcomes
- Stakeholder satisfaction and trust in data
- Owns data as a product, not just features
- Focuses on metrics, insights, and business value, not just UI/functionality
- Bridges business context with deep data understanding
- Drives enterprise-wide data consistency and trust
Rewards designed for you
Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page.
* Country-specific programs and initiatives may be available.
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.
€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries
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.
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