{"id":3273635,"url":"https://alion.io/job/schneider-electric-senior-product-owner-functional-data-analytics","title":"Senior Product Owner (Functional) – Data & Analytics","company":{"id":1266,"name":"Schneider Electric","domain":"se.com","url":"https://alion.io/company/schneider-electric","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":78,"open_postings":370,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":63000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":46},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-26T13:01:52Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-03T02:40:40Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Role Overview\nThe 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.\nKey Responsibilities\nDefine 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\nRequired Skills & Qualifications\n8-15+ 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\nTechnical Skills\nSQL knowledge (joins, aggregations) • Data warehousing concepts • BI tools (Power BI, Tableau, Looker) • Familiarity with cloud platforms (Azure, AWS, GCP)\nSuccess Metrics\nData accuracy and reliability • Adoption of analytics solutions • Reduction in data defects • Business impact and stakeholder trust\nKey Responsibilities\n1. Data Product Strategy & Vision\nDefine and own the roadmap for data and analytics products (dashboards, data models, semantic layers, data services, AI agents )\nAlign data initiatives with business strategy, KPIs, and enterprise data vision\nIdentify high-impact use cases: Operational reporting\nAdvanced analytics / AI use cases\nDecision intelligence\n\nPrioritize based on data value, business ROI, and user impact\n2. Data-Centric Requirement Management\nLead discovery of data requirements across business domains\nTranslate business questions into: KPIs and metrics\nData models and datasets\nAnalytical outputs\n\nDefine: Metric logic (formulas, aggregations)\nData definitions (business glossary)\nTransformation rules\n\nEnsure alignment on “single source of truth” metrics across the organization\n3. Domain Expertise (Preferred)\nExperience in one or more domains: \nProcurement / Supply Chain \nFinance \nDigital platforms \nData & Analytics \n3. Functional Design of Data Solutions\nDesign end-to-end data flows and functional architecture: Source systems → Data pipelines → Data models → Visualization\n\nDefine requirements for: Data ingestion and processing\nData transformations and enrichment\nAnalytical datasets and semantic layers\n\nCollaborate with architects to align with data platform standards\n4. Backlog Ownership for Data Products\nOwn a multi-layered backlog, including: Data ingestion pipelines\nData modeling (facts/dimensions)\nBI dashboards\nData quality improvements\n\nPrioritize work considering: Business value\nDependency on upstream systems\nData availability and quality\n\nEnsure all stories include: Data logic\nAcceptance criteria (data validation rules, thresholds)\n\n5.\n6. Collaboration with Data & Engineering Teams\nWork closely with: Data Engineers (ETL/ELT pipelines)\nData Architects (data models, platforms)\nBI Developers (visualization layers)\nData Scientists (ML/AI use cases)\n\nTranslate business needs into clear, technically feasible requirements\nEnsure alignment between: Functional requirements\nTechnical implementation\nPerformance and scalability expectations\n\n7. Analytics & Insight Delivery\nEnsure delivery of high-value analytics solutions, such as: Executive dashboards\nOperational reporting\nSelf-service analytics\n\nValidate that insights are: Accurate\nActionable\nBusiness-friendly\n\nDrive adoption of data-driven decision-making\n8. UAT, Validation & Data Testing\nDefine comprehensive data validation strategies, including: Source-to-target reconciliation\nKPI validation\nHistorical comparisons\n\nLead UAT with business teams to ensure: Trust in data outputs\nBusiness usability of analytics\n\nEnsure all data products meet acceptance thresholds\n9. Stakeholder Management (Data-Focused)\nEngage with: Business leaders\nFunctional SMEs\nData governance bodies\n\nTranslate technical data concepts into business insights and narratives\nManage expectations on: Data availability\nData limitations\nDelivery timelines\n\n10. Value Realization & Performance Tracking\nDefine and monitor success metrics for data products, such as: Adoption rate of dashboards\nData quality improvements\nBusiness impact (revenue, cost savings, efficiency)\n\nEstablish feedback loops for continuous improvement\n11. Advanced Analytics Enablement\nIdentify opportunities for: Predictive analytics\nPrescriptive insights\nAI/ML integration\n\nTranslate business problems into data science use cases\nEnsure outputs are integrated into business workflows\n12. Mentorship & Capability Building\nMentor junior Product Owners and Data Analysts\nDrive best practices in: Data requirement definition\nKPI standardization\nData product thinking\n\nPromote data literacy across business teams\nExperience\n8-15+ years in: Product Ownership / Business Analysis\nData & Analytics / BI environments\n\nProven experience delivering data-driven products at scale\nCore Skills\nStrong understanding of: Data modeling (facts, dimensions, star schema)\nKPIs, metrics, and analytical thinking\n\nExpertise in: Requirement gathering for data products\nWriting data-focused user stories and acceptance criteria\n\nStrong stakeholder management and communication\nTechnical Skills (Expected)\nWorking knowledge of: SQL (joins, aggregations, validations)\nData warehousing concepts\n\nFamiliarity with: Cloud data platforms (Azure, AWS, GCP)\nBI tools (Power BI, Tableau, Looker)\n\nUnderstanding of: ETL/ELT pipelines\nData governance frameworks\n\nSuccess Metrics\nAccuracy and reliability of data products\nAdoption of analytics solutions by business users\nReduction in data issues and rework\nDelivery of measurable business outcomes\nStakeholder satisfaction and trust in data\nWhat Differentiates This Role\nOwns data as a product, not just features\nFocuses on metrics, insights, and business value, not just UI/functionality\nBridges business context with deep data understanding\nDrives enterprise-wide data consistency and trust\nRewards designed for you\nOur 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.\n* Country-specific programs and initiatives may be available.\n Looking to make an IMPACT with your career?\nWhen 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.\nIMPACT 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.\nWe 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.\nBecome an IMPACT Maker with Schneider Electric - apply today!\n€40 billion global revenue\n+9% organic growth\n150 000+ employees in 100+ countries\n\nYou must submit an online application to be considered for any position with us. This position will be posted until filled.\nSchneider 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. \nAt 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\n\nSchneider 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.","description_format":"text","description_chars":9604,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Automation","Energy Management","Electrical Equipment & Cables"],"lifecycle":[{"event":"open","at":"2026-10-26T13:01:52Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":7,"expected_fill_days":35,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/schneider-electric-senior-product-owner-functional-data-analytics","json_url":"https://alion.io/job/schneider-electric-senior-product-owner-functional-data-analytics.json","meta":{"generated_at":"2026-11-03T07:03:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9922,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1266},"rest":"https://alion.io/mcp/rest/get_company?id=1266"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fschneider-electric-senior-product-owner-functional-data-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fschneider-electric-senior-product-owner-functional-data-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fschneider-electric-senior-product-owner-functional-data-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/schneider-electric-senior-product-owner-functional-data-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fschneider-electric-senior-product-owner-functional-data-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3273635}},{"tool":"search_jobs","arguments":{"company":"se.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3273635},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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