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Codvo AI · IT - Software Development

Product Owner – Data & BI Solutions

India · Job Posted June 03, 2026
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Job Description

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.

Job Responsibility

  • Define Vision & Roadmap: Set a problem-first roadmap for lakehouse, semantic layer, and BI experiences aligned to priority business journeys & projects
  • Prioritize domains with value hypotheses (revenue, cost, risk) and ROI models
  • UAT first development: Map source systems, data contracts, golden records, and reporting needs with stakeholders
  • Author detailed UAT document for each feature with detailed acceptance criteria, test cases and evaluation metrics
  • Product Leadership: Drive backlog, sprints, and releases with data engineering, platform teams, and BI developers
  • Manage dependencies: data readiness, reference/master data, identity resolution, and security
  • Measure, Learn, Iterate: Track guardrails: freshness, completeness, accuracy, lineage coverage, cost-to-serve
  • Improve models/marts via A/B on dashboard usage, query latency, and decision-cycle metrics
  • Governance & Compliance: Implement MDM policies (match/merge, survivorship), ETL/ELT standards, data cataloging, and access control
  • Partner with Security/Legal for PII/PHI handling, data residency, SOC2/ISO alignment
  • Bridge Business & Technology: Translate schemas and platform constraints into business KPIs, SLAs, and ROI
  • publish runbooks, change logs, and release notes
  • Enable self-service (certified datasets, semantic models, data literacy artifacts)

Requirements

  • 2+ years directly owning delivery of data platforms/BI initiatives (enterprise lakehouse, marts, or domain data products)
  • Hands-on product ownership with at least one modern data platform: Databricks, Snowflake, Microsoft Fabric/Azure, Cognite Data Fusion (or similar)
  • Fluency in MDM concepts (golden record, hierarchy mgmt, survivorship), ETL/ELT pipelines, and data governance (catalog, lineage, data quality rules, access policies)
  • Strong agile execution with Jira/Confluence/Azure DevOps
  • ability to write testable UAT documents & User stories with clear SLAs/DQ checks
  • Strong academic background + MBA (Tier-1) engineering/CS preferred

Nice to have

  • Experience with semantic layers/metrics stores (e.g., Power BI models, dbt metrics, LookML-style), dbt, Spark/Delta, or Airflow/Databricks Workflows
  • Exposure to event streaming (Kafka), CDC (Debezium/Fivetran), and cost/performance tuning (caching, clustering, query acceleration)
  • Familiarity with data contracts, domain-driven design for data, and data product operating models
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