Senior Data Product Owner, RPA

Invesco Ltd. • Houston, TX

9d • Hybrid

About The Position

Invesco is seeking an experienced Data Product Owner to lead RPA (Risk, Performance, and Attribution). This domain encompasses critical investment data including risk measures, performance returns, attribution data, and more. The ideal candidate will have deep expertise in investment management data, strong data product ownership experience, and a proven track record of driving data governance and quality initiatives. You will be Responsible for: Own and manage the RPA Data Domain, ensuring the integrity, availability, and usability of investment data such as risk measures, performance returns and attribution data. Collaborate with business and technical teams to define and prioritize data product roadmaps aligned with organizational goals. Apply business and logical data modeling techniques to structure and optimize the data domain. Utilize SQL for data analysis, validation, and troubleshooting; Snowflake expertise is a plus. Lead data governance efforts within the domain, including defining and enforcing data governance policies and standards. Identify and define critical data elements (CDEs) for the RPA Data Domain and establish data quality rules and metrics to monitor and improve data quality. Engage with stakeholders across investment management, technology, and compliance teams to ensure alignment and effective communication. Prepare and present clear, actionable roadmaps and status updates to senior leadership and stakeholders. Provides analysis recommendations for current and future needs to minimize redundancy and maximize capability of data within and across the business unit. Participates in projects with cross-functional teams and may serve as an advisor from a data management perspective. Ensures project goals are in line with overall Investment Data Office goals in terms of data and reporting needs.

Requirements

• Minimum 15 years of experience working with investment data, with at least 10 years as a Data Product Owner or in a similar role, specifically Risk, Performance, and Attribution.
• Strong knowledge of investment management concepts, products, and workflows.
• Proficiency in business data modeling and logical data modeling.
• Solid SQL skills; experience with Snowflake or similar cloud data platforms is highly desirable.
• Proficiency in data governance practices, including policy development and application within data domains.
• Proven ability to identify critical data elements and implement data quality frameworks.
• Excellent communication and stakeholder management skills, with the ability to translate complex data concepts into business terms.
• Experience preparing strategic roadmaps and driving execution across cross-functional teams.

Nice To Haves

• Snowflake expertise is a plus.

Responsibilities

• Own and manage the RPA Data Domain, ensuring the integrity, availability, and usability of investment data such as risk measures, performance returns and attribution data.
• Collaborate with business and technical teams to define and prioritize data product roadmaps aligned with organizational goals.
• Apply business and logical data modeling techniques to structure and optimize the data domain.
• Utilize SQL for data analysis, validation, and troubleshooting; Snowflake expertise is a plus.
• Lead data governance efforts within the domain, including defining and enforcing data governance policies and standards.
• Identify and define critical data elements (CDEs) for the RPA Data Domain and establish data quality rules and metrics to monitor and improve data quality.
• Engage with stakeholders across investment management, technology, and compliance teams to ensure alignment and effective communication.
• Prepare and present clear, actionable roadmaps and status updates to senior leadership and stakeholders.
• Provides analysis recommendations for current and future needs to minimize redundancy and maximize capability of data within and across the business unit.
• Participates in projects with cross-functional teams and may serve as an advisor from a data management perspective.
• Ensures project goals are in line with overall Investment Data Office goals in terms of data and reporting needs.

Benefits

• Flexible paid time off
• Hybrid work schedule
• 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
• Health & wellbeing benefits
• Parental Leave benefits
• Employee stock purchase plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed