Product Owner (Data)_ TA144

• Along with Domain Lead to define, articulate the product vision, strategy, and roadmap for data platforms and data products in alignment with the bank's strategic objectives and data governance frameworks.
• Conduct in-depth business analysis to identify data-driven opportunities, define key data use cases, and inform the evolution of the data platform.
• Collaborate with data consumers (IT, EDA, Business Units,…) to understand their analytical needs and translate them into actionable data product requirements.
• Discover and develop data initiatives and its corresponding budget yearly.
• Data Product/Platform Delivery & Adoption:

• Manage and deliver Data Initiatives of DPIS Domain yearly (up to 4 initiatives)
• Inspect the data product increment at the end of each Sprint/Phase and determine acceptance against defined quality metrics and business value criteria.
• Facilitate user acceptance testing (UAT) for data products and platform features, gathering feedback for continuous improvement.
• Monitor the performance and adoption of data products post-launch, gathering data and insights to inform future iterations and imrovements
• Explore and evangelize the adoption of new capabilities, including Generative AI for data interaction, product (e.g., Text-to-SQL,), within relevant business units.
• Data Platform Backlog Management:

• Create, refine, and maintain a clear, concise, and prioritized Product Backlog for data platform features, data ingestion pipelines, data quality rules, and analytical product enhancements.
• Translate complex data and business requirements into detailed User Stories, Epics, and Acceptance Criteria, ensuring clarity and readiness for the data engineering teams
• Continuously prioritize backlog items based on business value, regulatory compliance, data quality impact, technical feasibility, and strategic alignment.
• Stakeholder Collaboration & Data Management:

• Act as the primary liaison between business stakeholders (e.g., Fin, Risk, Retail, SME), IT divisions (e.g., ITCORP, Core Banking, DF), and the data development teams (SA, Dev, QA, Ops)
• Gather, analyze, and synthesize data requirements from various departments, resolving conflicts and making informed decisions that balance business needs with data platform scalability and governance.
• Champion data quality, data lineage, and data security principles, ensuring adherence to the bank's data governance policies across all data products and platforms (DIH, Datalake, ODS).
• Data Development Team Enablement:

• Actively participate in Agile stage (Sprint Planning, Daily Scrum, Sprint Review, Retrospective) for data engineering and data consumer teams to guide and support development efforts.
• Provide timely clarifications and answer questions from the data teams regarding data models, business rules, and integration logic (e.g., for T24 Parsing, Movement Reports, complex CRs).
• Ensure the team has a clear understanding of "What" data products/platform features need to be built and "Why" they are important for business value.

Other tasks assigned by DPIS Manager