Senior Product Owner - Data

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:

Do you have passion for understanding customer needs and leveraging technology to deliver value? Do you thrive in a fast-paced and rapidly changing environment? Do you enjoy working with a team of varying skillsets to collectively discover new opportunities to delight customers? Are you someone who believes data drives business? Does driving business transformation through data delivery align with your career aspirations? If so, a role on the Multifamily Data Product Management team could be a fit for you!

This role will help to transform the way in which Freddie Mac does business. The Product Owner Senior develops and drives the product vision and strategy as one of the closest people in the business to the customer, providing constant feedback to the team and helping to set and drive toward the vision for Multifamily (MF) data modernization.

Specifically, this will support the product management of the MF Data Program’s delivery execution. These capabilities are critical to driving Data Modernization and adoption of the Enterprise Business Model within the Multifamily division.

Our Impact:

The Freddie Mac Multifamily Data Product Management group drives innovation and data transformation by leveraging data as a strategic asset. We modernize data processes, ensure robust governance, and deliver actionable insights to optimize operations and enhance customer experiences. Through cross-functional collaboration, we implement cutting-edge data solutions that support the mission of homeownership, positioning Freddie Mac as a leader in data-driven decision making and industry innovation.

Your Impact:

Set ambitious and clear product vision and communicate ‘the story’ effectively to key stakeholders and the rest of the team

Own the end-to-end product strategy from inception and determine business value once solution enters production

Ensure alignment of product features and stories, i.e., review, give feedback, and prioritize user stories in line with the Data Product Roadmap

Continuously improve backlog with the team, ensuring all items are clearly described, estimated, and prioritized

Ensure customer-driven design considering user pain points & usability test results, using market & industry knowledge as well as continual research, to deliver a well-positioned data product

Approve each feature and provide valuable feedback for the team

Drive sprint and release plans together with the Scrum Coach and organizational technology teams

Exercise strong decision-making mandate from executive group to own data products end-to-end

Work with Development Lead to build a modular & reusable solution

Facilitate the collaboration of cross-organizational teams to establish, develop, implement and rollout new data capabilities aligned with Data Modernization and Enterprise Business Model objectives.

Clearly communicate value and status to various stakeholders and levels of management.

Participates or leads activities that support system development & deployment (e.g. process redesign, Day 1 setup, risk & controls documentation, user acceptance testing).

Proficient in documenting risk & controls (e.g. policies, procedures, process flows, risk and control matrices).

Qualifications:

Bachelor's Degree in related discipline - preferred.

Understanding of the mortgage industry, preferably commercial or multifamily real estate and their underlying loan lifecycles.

5+ years of Agile Delivery or Product Owner experience.

5+ years of data related experience such as product analysis, data analysis, and systems analysis.

Experience delivering large, complex change management projects that involve interfacing with multiple teams, especially projects involving changes to business applications and technology.

Demonstrated ability to understand data modernization principles and deliver on commitments.

Data analysis skills to support data mapping, data querying, and data profiling.

Experience working in an Agile methodology team and agile related tools.

Strong analytical and problem-solving thought processes.

Superior written and verbal communication skills, including ability to present to management and expertly facilitate meetings.

Data technology platforms experience: AWS, Mongo DB, Snowflake, Tableau - nice to have.

Experience with Data focused technologies such as relational, non-relational, on-premises, and off-premises databases and their associated concepts.

Keys to Success in this Role:

Ability to leverage product facing soft-skills and technical data analysis hard skills simultaneously and regularly.

Understanding the priorities of Data Modernization and Enterprise Business Model and their operational processes to identify, design, and define solutions that can be effectively implemented to deliver value across the technology organization.

Understanding the modernization strategy and apply it to the prioritization of the product backlog.

Leveraging data & analytics to identify the value of proposed ideas and approach for implementing.

Representing the Multifamily Data team as the principal contact as a subject matter expert and product leader in the Enterprise Business Model and Data Modernization efforts.

Interact with data customers and internal technology customers to obtain feedback on solutions and design to validate and refine value, or pivot to something new.

Highly motivated, adaptive, persistent, and self-driven.

Ability to work independently and confidently as well as across multiple teams and disciplines.

High level of comfort operating in the gray, and flexibility to work on multiple, concurrent assignments.

Demonstrated ability in strategizing and applying decisions.

Current Freddie Mac employees please apply through the internal career site.

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.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit and register with our referral code: MAC.

Time-type:Full time

FLSA 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 $122,000 - $184,000 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.

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