Product Owner, Senior

Freddie Mac•McLean, VA

7d•$118,000 - $178,000

About The Position

Are you passionate about transforming raw data into actionable insights? Do you excel at making data accessible and intuitive? Join our Multifamily Data Product Management team to revolutionize data access at Freddie Mac. As a Senior Product Owner, you'll bridge business needs with technology, driving the execution for our Snowflake-based data warehouse and AI-powered data insights.

Requirements

5+ years in Product delivery, with a focus on modern data warehousing, data delivery, data products, and analytical data enablement.
Bachelor’s degree plus relevant experience.
Strong Product Delivery skills with a proven ability to manage and execute complex projects and deliver results.
Strong experience with Snowflake or similar modern data warehouse concepts.
Familiarity with AI/ML applications in data consumption and conversational analytics of data.
Product experience with modern data platforms.
Excellent communication skills and writing skills.

Nice To Haves

Blend product management and technical skills to drive lasting data warehouse solutions.
Maintain momentum across projects, ensuring delivery of high-quality data and data products.
Advocate for and drive AI-driven data consumption within business workflows.
Balance business outcomes with quick wins and long-term modernization objectives.
Act as a subject matter expert for data warehouse capabilities in data modernization efforts.
Proactively enhance data discoverability and user empowerment through innovative data solutions.

Responsibilities

Develop, communicate, and deliver on the Product execution for our data warehouse and AI-driven features.
Manage the end-to-end strategy for data accessibility and consumption-ready products.
Lead requirements gathering, ensuring alignment with business needs and data modernization goals.
Refine product backlogs, prioritize features, and drive execution from concept to release.
Enhance data products within Snowflake, focusing on user-friendly design and self-service analytics.
Champion data AI-native experiences to accelerate insight delivery and shift data closer to business outcomes.
Ensure data governance and controls execution on Data warehouse components.
Collaborate on sprint planning and release execution, removing obstacles to delivery.