> Markdown version of [/jobs/ext/3691387-product-owner](https://www.wearedevelopers.com/jobs/ext/3691387-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - **Company:** NTT DATA, Inc. - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Unity 3d, Amazon Web Services, Data Analysis, JIRA, Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Mapping, Data Migration, Data Warehousing, Apache Hadoop, Identity and Access Management, Metadata, Microsoft SQL Server, Oracle (Applications), Scrum Methodology, Release Management, Requirements Management, Teradata SQL, Enterprise Data Management, Cloud Platform System, Informatica Powercenter, Apache Spark, Microsoft Fabric, Data Lakes, Information Technology, Collibra, Data Analytics, Cloud Migration, Legacy Systems, Databricks - **Published:** October 11, 2026 - **Apply:** https://www.atlantacareerpath.com/job.asp?id=3435154548&tx=JT10395UTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Minimum 8+ years of experience in Product Ownership, Product Management, Business Analysis, Data & Analytics delivery, or enterprise technology transformation., * Minimum 4+ years of experience supporting data migration, cloud modernization, or data-platform transformation initiatives. * Minimum 4+ years of experience with Databricks, Lakehouse architecture, Delta Lake, Spark, and Medallion Architecture. * Minimum 4+ years of experience with data governance concepts including Unity Catalog, metadata, lineage, access governance, data ownership, and classification. * Minimum 4+ years of experience managing requirements and migration backlogs using Jira, Azure DevOps, Rally, or equivalent tools. * Minimum 4+ years of experience with Agile/Scrum/SAFe delivery and backlog management. * Minimum 4+ years of experience with data migration concepts including source-to-target mapping, reconciliation, migration waves, cutover, production validation, and legacy decommissioning. * Strong understanding of enterprise data platforms, data quality, governance, security, and modern data architectures. * Strong stakeholder-management, analytical, prioritization, facilitation, and communication skills. * Ability to work in Atlanta a minimum of 3 days per week. Travel: As required based on project and client needs. Degree: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Business, Engineering, or a related field, or equivalent work experience. Nice to Have: * 10+ years of Product Management, Data & Analytics, Business Analysis, or enterprise transformation experience. * Experience leading Databricks migration or Lakehouse modernization programs. * Experience migrating legacy platforms such as Hadoop, Teradata, Oracle, SQL Server, Informatica, or traditional data warehouses. * Experience with Collibra, Alation, Microsoft Purview, AWS, Azure, or GCP. * Experience in regulated industries such as Banking, Financial Services, Insurance, or Healthcare. * CSPO, SAFe POPM, PMI-PBA, or Databricks certification. ## Description We are seeking an experienced Product Owner - Databricks Migration & Data Platform to lead business prioritization, requirements management, backlog ownership, and delivery coordination for a large-scale migration and modernization of enterprise data workloads to Databricks. The Product Owner will act as the primary bridge between business stakeholders, data owners, Databricks architects, data engineers, source-system SMEs, governance teams, security, application teams, vendors, and program leadership. The role will be responsible for translating business and migration objectives into actionable product capabilities, epics, features, user stories, acceptance criteria, and prioritized delivery roadmaps. The successful candidate should combine strong Product Ownership / Product Management experience with a solid understanding of enterprise data platforms, Databricks, cloud migration, data governance, data quality, and analytics. The individual does not need to operate as the solution architect but must have sufficient technical depth to effectively challenge requirements, understand architectural dependencies, make prioritization decisions, and drive migration outcomes. Day to Day Job Duties: * Own the product roadmap, backlog, priorities, and delivery for Databricks migration and data-platform modernization initiatives. * Lead requirements and discovery sessions with business, data, application, governance, architecture, and engineering teams. * Translate migration objectives into epics, features, user stories, acceptance criteria, and release plans. * Prioritize migration workloads based on business value, technical readiness, dependencies, regulatory requirements, risk, and complexity. * Coordinate migration activities across assessment, development, testing, reconciliation, cutover, production validation, and legacy decommissioning. * Ensure requirements align with Databricks architecture, including Medallion Architecture, Delta Lake, Unity Catalog, governance, security, and data-quality standards. * Coordinate source-to-target validation, UAT, business acceptance, and production cutover activities. * Lead backlog refinement, sprint planning, release planning, demos, and stakeholder reviews. * Track migration progress, risks, dependencies, blockers, KPIs, and decisions and provide executive-level reporting. * Collaborate with architects, engineers, governance teams, vendors, and business stakeholders to drive successful migration outcomes., * Minimum 4+ years of experience as a Product Owner, Senior Business Analyst, or Product Manager supporting enterprise technology or data-platform programs.