Hiring.Camp

Senior Business Lead, Data Governance Strategy & Execution

Freddiemac

·

Today

Salary
$151k – $227k
Location
Headquarters 3, United States of America
Type
Full-time
Department
Management
Seniority
Senior
Experience
10+ years
Education
Bachelor
Source
Workday

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:

The Multifamily Data organization is seeking a Senior Business Lead, Data Governance Strategy & Execution to help shape and execute the future of data governance across Multifamily.

As Multifamily expands self-service access to data and enables new analytics, automation, and AI capabilities, trusted and well-governed data has become a strategic business imperative. This role will lead efforts to evolve governance from manual processes and one-time reviews into scalable capabilities embedded within our data platform, data products, and delivery processes.

Working across business, technology, risk, privacy, compliance, and data teams, this leader will drive the strategy and execution needed to ensure Multifamily data is trusted, transparent, reusable, and fit for purpose. The role will also help establish the governance foundations necessary to support responsible AI adoption and ensure alignment between data governance and emerging AI governance requirements.

Our Impact:

Multifamily Data is transforming how data is managed, delivered, understood, and consumed across the business.

Our mission is to provide a trusted data foundation that enables better business decisions, operational efficiency, regulatory compliance, advanced analytics, and AI-driven innovation. Through modern data platforms, trusted data products, and strong governance practices, we are improving transparency, strengthening data quality, and making data easier to discover, understand, and use.

As Multifamily continues its data modernization journey, governance must evolve alongside the platform to ensure trust scales with growing volumes of data, consumers, analytics, and AI solutions.

Your Impact:

In this role, you will:

  • Define and advance Multifamily's data governance strategy, roadmap, and operating model.

  • Lead cross-functional initiatives that improve data quality, metadata management, data lineage, stewardship, ownership, and consumer trust.

  • Partner with Data Product, Engineering, Architecture, and Platform teams to embed governance directly into the data lifecycle.

  • Drive automation of governance capabilities, reducing reliance on manual oversight while increasing consistency and transparency.

  • Establish scalable governance capabilities that support trusted self-service reporting, analytics, and data product consumption.

  • Define and implement the data governance foundations needed to support responsible and effective AI adoption.

  • Serve as a key connector between data governance and AI governance, ensuring appropriate controls, lineage, transparency, privacy, accountability, and data readiness standards are in place.

  • Partner with Risk, Privacy, Compliance, Audit, and Regulatory stakeholders to ensure governance practices align with enterprise and regulatory expectations.

  • Develop meaningful metrics that demonstrate improvements in data trust, governance maturity, consumer adoption, and AI readiness.

  • Influence senior leaders and stakeholders to drive alignment and execution without direct authority.

Qualifications:

  • Bachelor's degree plus relevant experience.

  • 10+ years of experience in Data Governance, Data Management, Data Strategy, Data Quality, Data Risk Management, or a related discipline.

  • Proven success leading large-scale, cross-functional initiatives through influence and collaboration.

  • Strong understanding of data governance frameworks, metadata management, data lineage, data quality, stewardship, and data controls.

  • Understanding of the relationship between data governance, AI governance, privacy, security, and responsible AI.

  • Experience with metadata, data catalog, lineage, and data quality platforms.

  • Experience with modern cloud data platforms, data products, and self-service analytics environments.

  • Experience translating business, regulatory, and technology requirements into practical governance solutions.

  • Experience collaborating across business, technology, risk, compliance, and data organizations.

  • Strong executive communication, presentation, and stakeholder management skills.

  • Ability to balance strategic thinking with hands-on execution.

Preferred Qualifications

  • Experience supporting advanced analytics, machine learning, or AI-enabled business solutions.

  • Experience within financial services or another highly regulated industry.

  • Advanced degree or relevant industry certifications.

Keys to Success in this Role:

  • Think strategically while driving measurable business outcomes.

  • View governance as a business enabler that increases trust, transparency, and responsible data use.

  • Build strong relationships and influence decisions across business and technology organizations.

  • Translate complex governance, data, and AI concepts into actionable solutions.

  • Balance innovation, consumer experience, and risk management.

  • Drive alignment and accountability without relying on organizational authority.

  • Lead through collaboration, credibility, and execution.

  • Maintain a relentless focus on building trusted, AI-ready data that can scale across Multifamily's growing consumer community.

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 www.BountyJobs.com 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 $151,000 - $227,000 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.

Skills

Machine LearningRisk ManagementCompliance

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