Senior Product Owner (Functional) – Data & Analytics
Schneider Electric (company site, opens in a new tab)8–15 yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end delivery and strategy of data products and analytics solutions including dashboards, data models, and data pipelines.
- Translate business needs into KPIs, metrics, data models, and ensure delivery of accurate, high-quality analytics and insights to drive business impact.
- Lead stakeholder management, UAT, data validation, mentorship, and continuous improvement of data products' adoption and reliability.
Minimum Requirements
- 8–15+ years of experience in Product Ownership, Business Analysis, or Data & Analytics roles with proven delivery of data-driven products at scale.
- Strong knowledge of data modeling (facts, dimensions, star schema), KPI frameworks, and writing data-focused user stories with acceptance criteria.
- Technical skills including SQL (joins, aggregations), data warehousing concepts, and familiarity with cloud data platforms (Azure, AWS, GCP) and BI tools (Power BI, Tableau, Looker).
- Experience working in Agile/Scrum environments and strong stakeholder management and communication skills.
Ideal Candidate Profile
- Experienced in bridging business context with deep technical data understanding to drive enterprise-wide data consistency and trust.
- Operates strategically to align data product roadmaps with business strategies delivering measurable ROI and high adoption rates.
- Ability to manage multi-layered backlogs, prioritize based on business value and data quality, and lead validation and user acceptance testing with business teams.