The Product Owner (PO) is the strategic and operational bridge between business stakeholders and data engineering / analytics teams. The PO will own the end-to-end lifecycle of one or more data products — from discovery and definition through to delivery, adoption, and continuous improvement — ensuring that data products generate measurable business value and meet the highest standards of quality, governance, and compliance.
Key Responsibilities
- Define and communicate a clear product vision, strategy, and roadmap aligned with departmental pillars and the bank's data strategy.
- Identify opportunities to create or enhance data products by engaging stakeholders across Consumer, Commercial, and Financial Crimes domains.
- Partner with business, risk, compliance, and technology stakeholders to elicit, prioritise, and translate requirements into features, epics, and user stories.
- Own and manage the product backlog, prioritising delivery to maximise business value while balancing technical debt and compliance needs.
- Apply data product thinking, including defining data contracts, SLAs, lineage, schemas, and consumption interfaces.
- Ensure data products comply with banking regulations, data privacy laws, and internal risk and governance standards.
- Define and track product KPIs, drive product adoption, and continuously improve products based on feedback and usage analytics.
Requirements
- Proven experience in product management, business analysis, or related roles, with at least 2 years focused on data products or platforms.
- Proven experience working in an Agile/Scrum environment as a Product Owner or equivalent role.
- Strong understanding of data concepts including data modelling, pipelines, APIs, data warehousing, and analytics.
- Experience in financial services, banking, or other regulated industries, with knowledge of data sensitivity and compliance requirements.
- Demonstrated ability to manage complex stakeholders and translate ambiguous business needs into clear product requirements.
- Familiarity with data governance, data quality, metadata management, and exposure to consumer banking analytics, commercial credit, AML/fraud, or regulatory data.
- Strong analytical, problem-solving, and communication skills, with the ability to perform under pressure and work in a deadline-oriented environment.
