Data Product Owner

Job Description

Job Description What is the Opportunity? The Operational Data, Information & AI (ODIA) team within Personal & Commercial Operations (PCO) is seeking a Data Product Owner to support and drive the delivery of data and AI solutions. You will act as the bridge, translating business needs into scalable data and AI solutions by partnering closely with business leaders, data engineering, BI, and data science teams. You will help define metric logic, gather requirements, set priorities, and champion adoption so that our partners derive maximum impact. You will also ensure data and AI products are designed, developed, and maintained effectively throughout their lifecycle. What will you do? Engage with senior leadership and business teams to understand strategic priorities, operational inefficiencies, and opportunities Conduct discovery sessions, synthesize business needs, and collaborate on developing data-driven business cases that justify investment in data and AI initiatives Support stakeholders in quantifying business value and ROI, working with business leaders to define expected outcomes and success metrics for new solutions Assist in the development and maintenance of the data and AI product roadmap Help communicate planned initiatives, sequencing, and dependencies to stakeholders, ensuring clarity on business alignment and timelines Collaborate with business stakeholders to understand their needs and help translate them into clear product requirements Ensure data and AI solutions adhere to relevant regulatory and compliance requirements by partnering with governance teams to identify requirements early and build compliance into solution design Support adoption strategies and change management initiatives to drive user engagement with new data and AI solutions Coordinate with business teams to define adoption metrics, identify adoption barriers, and support communication and training efforts Conduct exploratory data analysis using SQL, Python, and PySpark to support discovery sessions, validate business hypotheses, and inform product decisions Provide data-driven insights to support stakeholder discussions and business case development What do you need to succeed? Must-have: Strong problem solving and analytical skills with the ability to break down complex business challenges into actionable insights and solutions Demonstrated ability to think strategically while translating operational challenges into data-driven solutions and understanding financial and operational impact Ability to connect tactical work to broader business objectives Proactive approach to discovery, learning, and continuous improvement while working on ambiguous problems and driving outcomes with limited guidance Hands-on experience working in agile environments (Scrum, Kanban, or hybrid) and familiarity with sprint planning, backlog refinement, and iterative delivery (Experience with complex, multi-team initiatives is a plus) Proficiency in SQL, Python, and PySpark for explora

Required Skills