Product Owner – Data & BI Solutions (India) (Remote)

<div><strong>Product Owner – Data &amp; BI Solutions</strong></div><div><strong>Experience: 6–8 years | Function: Product &amp; Solutioning | Location: Remote</strong></div><div><strong>&nbsp;</strong></div><div><strong>Role Summary</strong></div><div>Own the vision, roadmap, and delivery of enterprise-grade data platforms and BI experiences - from ingestion and MDM to lakehouse analytics and executive dashboards. You’ll turn fragmented data into trusted, governed, and actionable products that improve decisions and time-to-insight across the enterprise.</div><div><br></div><div><strong>Key Responsibilities</strong></div><div>1. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Define Vision &amp; Roadmap</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Set a problem-first roadmap for lakehouse, semantic layer, and BI experiences aligned to priority business journeys &amp; projects.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Prioritize domains with value hypotheses (revenue, cost, risk) and ROI models.</div><div>2. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;UAT first development</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Map source systems, data contracts, golden records, and reporting needs with stakeholders.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Author detailed UAT document for each feature with detailed acceptance criteria, test cases and evaluation metrics.</div><div>3. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Product Leadership</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Drive backlog, sprints, and releases with data engineering, platform teams, and BI developers.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Manage dependencies: data readiness, reference/master data, identity resolution, and security.</div><div>4. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Measure, Learn, Iterate</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Track guardrails: freshness, completeness, accuracy, lineage coverage, cost-to-serve.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Improve models/marts via A/B on dashboard usage, query latency, and decision-cycle metrics.</div><div>5. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Governance &amp; Compliance</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Implement MDM policies (match/merge, survivorship), ETL/ELT standards, data cataloging, and access control.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Partner with Security/Legal for PII/PHI handling, data residency, SOC2/ISO alignment.</div><div>6. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Bridge Business &amp; Technology</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Translate schemas and platform constraints into business KPIs, SLAs, and ROI; publish runbooks, change logs, and release notes.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Enable self-service (certified datasets, semantic models, data literacy artifacts).</div><div><br></div><div><strong>Must-Have Qualifications</strong></div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;2+ years directly owning delivery of data platforms/BI initiatives (enterprise lakehouse, marts, or domain data products).</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Hands-on product ownership with at least one modern data platform: Databricks, Snowflake, Microsoft Fabric/Azure, Cognite Data Fusion (or similar).</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Fluency in MDM concepts (golden record, hierarchy mgmt, survivorship), ETL/ELT pipelines, and data governance (catalog, lineage, data quality rules, access policies).</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Strong agile execution with Jira/Confluence/Azure DevOps; ability to write testable UAT documents &amp; User stories with clear SLAs/DQ checks.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Strong academic background + MBA (Tier-1) engineering/CS preferred.</div><div><br></div><div><strong>Nice to Have</strong></div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Experience with semantic layers/metrics stores (e.g., Power BI models, dbt metrics, LookML-style), dbt, Spark/Delta, or Airflow/Databricks Workflows.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Exposure to event streaming (Kafka), CDC (Debezium/Fivetran), and cost/performance tuning (caching, clustering, query acceleration).</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Familiarity with data contracts, domain-driven design for data, and data product operating models.</div><div><br></div><div><strong>Familiarity with Skills &amp; Tools&nbsp;</strong></div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Data Platform: Databricks (Delta, Unity Catalog), Snowflake (Tasks/Streams), Microsoft Fabric/Azure Synapse; Cognite DF a plus.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Pipelines &amp; Modeling: SQL, basic Python literacy, ELT (dbt), orchestration (Airflow/Workflows), DQ (Great Expectations/expectations via dbt tests).</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;BI &amp; Semantics: Power BI (DAX, modeling, RLS), Tableau (LOD, governance), certified datasets, usage telemetry.</div><div>• &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Collab: Jira/Confluence/Azure DevOps, Lucidchart/Draw.io, PPT/Excel/Word, Git for versioning.</div><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"><strong>About Us</strong></p><p style="margin-bottom:0cm;">At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p><p style="margin-bottom:0cm;"><strong>&nbsp;</strong></p><p style="margin-bottom:0cm;"><br></p>