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

India·PuneRemotemid

Product ManagementProduct Manager

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Quick Summary

Overview

Product Owner – Data & BI Solutions Experience: 6–8 years | Function: Product & Solutioning | Location: Remote Role Summary Own the vision, roadmap, and delivery of enterprise-grade data platforms and BI experiences - from ingestion and MDM to lakehouse analytics and executive dashboards.

Key Responsibilities

1. 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. 2.

Requirements Summary

• Experience with semantic layers/metrics stores (e.g., Power BI models, dbt metrics, LookML-style), dbt, Spark/Delta, or Airflow/Databricks Workflows.

Technical Tools

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Product Owner – Data & BI Solutions

Experience: 6–8 years | Function: Product & Solutioning | Location: Remote

Role Summary

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.

Key Responsibilities

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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).

Must-Have Qualifications

• 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.

Familiarity with Skills & Tools

• Data Platform: Databricks (Delta, Unity Catalog), Snowflake (Tasks/Streams), Microsoft Fabric/Azure Synapse; Cognite DF a plus.

• Pipelines & Modeling: SQL, basic Python literacy, ELT (dbt), orchestration (Airflow/Workflows), DQ (Great Expectations/expectations via dbt tests).

• BI & Semantics: Power BI (DAX, modeling, RLS), Tableau (LOD, governance), certified datasets, usage telemetry.

• Collab: Jira/Confluence/Azure DevOps, Lucidchart/Draw.io, PPT/Excel/Word, Git for versioning.

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.