Product Owner

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.

• 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.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com