THE ROLE
We are seeking an experienced Data Product Owner to lead the definition, delivery, and lifecycle management of enterprise data products that enable secure, compliant, and value-driven use of data across the organization. This role bridges business needs with technology delivery, ensuring that data products improve decision-making, and drive revenue, efficiency, while meeting regulatory requirements.
IS THIS ROLE RIGHT FOR YOU? IN THIS ROLE YOU WILL:
- Own the end-to-end data product lifecycle—from ideation and requirements gathering to delivery, adoption, and continuous improvements.
- Define and maintain the product vision, roadmap, and success metrics, ensuring alignment with enterprise data strategy, business priorities, and regulatory obligations.
- Collaborate with business units, analytics teams, and technology partners to capture requirements, identify opportunities, and prioritize use cases.
- Partner with cross-functional Product-Oriented Delivery (POD) teams—data engineers, analysts, governance specialists—to ensure timely and high-quality delivery.
- Define and manage data product backlogs, set clear priorities, and communicate trade-off decisions.
- Oversee testing, quality assurance, and deployment processes to ensure products are trusted, compliant, and fit for purpose.
- Act as the voice of the customer (internal stakeholders) in delivery cycles, ensuring solutions meet business objectives while complying with governance and security policies.
- Embed governance-by-design in data product development, including metadata management, lineage tracking, and data quality rules.
- Monitor product performance against defined KPIs, driving enhancements based on business value, usage analytics, and stakeholder feedback.
DO YOU HAVE THE SKILLS THAT WILL ENABLE YOU TO SUCCEED IN THIS ROLE? WE’D LOVE TO WORK WITH YOU IF YOU HAVE:
- Bachelor’s degree in Data, Analytics, Computer Science, Business, or related field.
- 7+ years’ experience in product ownership, data strategy, or analytics within the financial services sector.
- Proven track record delivering data products, analytics solutions, data platforms, reporting capabilities.
- Excellent stakeholder management, prioritization, and decision-making skills.
- Experience working with cloud platforms (Google Cloud, or Azure) and modern data architecture principles.