Data Product Owner

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.   We believe doing the right thing for our clients and our associates is good business . With a career at the firm, y ou can expect opportunities to create real impact at work and in your community. Y ou’ll enjoy resources to support your career path, a s well as compensation , benefits , and flexibility to enrich your life. Here, you’ll find a collaborative culture that respect s and valu e s differences and colleagues who share a spirit of generosity .    Join us for the opportunity to g row and make a difference in ways that matter to you .   Role Summary  The Data Product Owner plays a key role within Individual Investors Data Management. The II business is responsible for over $200B in client assets and serves 1.3 million investors. The Data Product Owner leads assigned Retail client data priorities and workstreams, translating business and consumer needs into prioritized capabilities and guiding delivery to ensure client data is accurate, consistent, trusted, and fit for purpose across business processes and downstream consumers/platforms.  As a Product Owner and subject matter expert in Retail client data, this role serves as a primary partner to business and technology stakeholders, translating complex business needs into clear requirements, priorities, and actionable solutions. The role guides data capabilities through discovery, delivery, and adoption while managing competing priorities and dependencies. Through strong product ownership and data management expertise, the Data Product Owner balances business value, data quality, governance, risk, and scalability when prioritizing work and making decisions. The role drives continuous improvement to strengthen data usability, reliability, and value across the organization.  Responsibilities  Acts as the Product Owner and primary point of contact for assigned client data domain, partnering across business, technology, analytics, operations, and risk teams to understand needs, resolve issues, and improve data outcomes.   Serves as a consultant to business stakeholders on complex client data needs, translating business objectives into clear product requirements and recommending solutions that support informed decision-making and operational effectiveness.   Owns and prioritizes the backlog for assigned scope, balancing business value, data quality, risk, dependencies, and delivery capacity to make informed trade-off recommendations.   Partners with engineering, architecture, analytics, and business teams throughout product discovery, refinement, delivery, validation, and adoption.   Ensures product requirements incorporate applicable data governance, quality, control, metadata, and enterprise standards throughout the product lifecycle.   Defines acceptance criteria and leads business validation and UAT for new or enhanced product capabilities, ensuring delivered solutions meet business and data requirements.   Defines and monitors product success measures, including adoption, data quality, reliability, and business value, and uses results to inform continuous improvement priorities.   Proactively identifies and manages data quality issues, risks, and dependencies within assigned products, driving remediation in alignment with enterprise policies, standards, and procedures.   Provides guidance, knowledge sharing, and support to less experienced associates and serves as a resource for data management and product ownership best practices.  Qualifications  Required:  Bachelor's degree or the equivalent combination of education and relevant experience AND 5+ years of total relevant work experience  Preferred:  Demonstrated experience working in Agile environments (Scrum/Kanban) and collaborating with product, business, and technology teams.  Proven ability to coordinate and collaborate across matrixed teams and influence outcomes across cross-functional stakeholders.  Strong knowledge of data management disciplines including data governance, data quality management, metadata management, data lineage, and master data management (MDM).  Comprehensive working knowledge of investment products within the retail and retirement plan space (e.g., Brokerage accounts, IRAs, ETFs, 401(k), 403(b), defined contribution, defined benefit plans).  Strong analytical and problem-solving skills with experience conducting advanced data analysis and translating findings into actionable business recommendations.  Strong organization, planning, prioritization, and process improvement skills.  Strong knowledge of relational database models and SQL for data extraction, profiling, validation, and analysis.  Proficient at gathering and documenting business and data requirements and translating requirements into effective data solutions.  Experience managing complex datasets, data dependencies, and end-to-end data flows across multiple business processes and systems.  Experience implementing and executing data governance, data quality, and data management controls.  Experience leading testing and validation efforts for data products, data pipelines, reporting solutions, and system enhancements, including test planning, execution, defect management, and data reconciliation.  Excellent written and verbal communication skills with the ability to communicate technical concepts effectively to business stakeholders and leadership.  Self-directed, results-oriented, and able to manage multiple high-priority in