Product Owner, Senior

Freddie Mac; McLean (VA); On-site; USD 118,000 - 178,000; Full time

Job summary

Freddie Mac is seeking a Senior Product Owner to transform raw data into actionable insights within the Multifamily Data Product Management team. You will bridge business needs with technology to drive Snowflake-based data warehouse initiatives and AI-powered insights.

You will lead requirements, refine backlogs, and ensure governance while delivering user-friendly, self-service analytics. This role requires strong communication and cross-functional collaboration, based in McLean, VA.

Qualifications

• 5+ years delivering data-centric products and platforms.
• Experience with Snowflake or modern data warehouses.
• Familiarity with AI/ML in data consumption and analytics.
• Strong written and verbal communication.

Responsibilities

• Lead product execution for data warehouse and AI-driven features.
• Manage end-to-end strategy for data accessibility and consumption-ready products.
• Lead requirements gathering and backlog refinement.
• Refine backlogs and drive execution from concept to release.
• Enhance data products within Snowflake for self-service analytics.
• Champion AI-native data experiences to accelerate insight delivery.
• Ensure data governance and controls on warehouse components.
• Collaborate on sprint planning and release execution.

Skills

5+ years product delivery

Snowflake

AI/ML familiarity

Data platforms

Excellent communication

Education

Bachelor's degree

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview

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.

Role 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.

Qualifications

• 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.

Keys to Success

• 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.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $118,000 - $178,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.