I&CM Data and AI Risk Governance Lead
New York, United States
Full Time Senior-level / Expert USD 132K - 198K
Freddie Mac
We are supporting America's homeowners and renters while serving as a stabilizing force in the U.S. housing finance system.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 a risk management professional with a passion for model data governance? We are looking for an exceptional Risk Governance Lead for Investments & Capital Markets, focusing on securing and managing data associated with AI models, to join our energetic team. This is your chance to step into a pivotal role, driving innovation and ensuring the responsible use of AI technologies across the enterprise. At Freddie Mac, you will work to build a better housing finance system, and you will be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.
This position is based in New York, NY! Apply now to learn about our excellent benefits and why there’s #MoreAtFreddieMac!
Our Impact
As our Data and AI Risk & Governance Lead, you will have a unique opportunity to define and implement data governance strategies specifically tailored for models. Your expertise will guide the development of our data governance strategy and implement robust practices for AI technologies, ensuring the security and integrity of our data assets. This role is perfect for innovators who want to build meaningful connections across diverse teams while championing AI ethics and best practices.
Your Impact:
In this role, you’ll have the opportunity to:
Collaborate with Partners: Work closely with legal, technical, and business teams to communicate findings related to model data risks and facilitate informed decision-making.
Conduct Risk Assessments: Evaluate risks specifically tied to divisional data management and AI model projects and propose strategies for mitigation.
Shape Policies: Develop and uphold governing policies for model data, ensuring they align with industry standards and regulatory frameworks.
Advocate for Ethical Model Use: Champion transparency, fairness, and integrity in how AI models are utilized.
Enhance Security: Partner with Information Security teams to address security risks specific to model data management practices.
Ensure Compliance: Oversee adherence to model data governance and AI policies, providing guidance where necessary.
Lead Training and Awareness: Design and deliver training programs that elevate awareness of risks and best practices in model data and AI management.
Develop Metrics and Reports: Collaborate on formulating enterprise KPIs, KRIs, and reports to track and manage risks in AI models and associated model data.
Qualifications
Bachelor’s Degree or equivalent with 8+ years of relevant experience
6+ years of experience in operational risk management including exposure to technology risk, information risk and/or model risk management
2-5 years of management and leadership experience preferred
Strong knowledge of Data Management standard methodologies and AI technologies (e.g. machine learning, natural language processing, large language models and computer vision)
Familiarity with relevant regulations (e.g., GDPR, CCPA) and industry guidelines (e.g., IEEE Ethically Aligned Design, NIST, ISO/IEC 42001/ 23894)
Excellent communication skills and collaborate skills
Keys to Success in this Role
Data-driven risk analysis
Adaptability and interpersonal skills
Proactive relationship-building
Decision-making with a risk-based focus
Strong problem-solving and execution abilities
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 timeFLSA Status:ExemptFreddie 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 $132,000 - $198,000 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.Tags: Computer Vision Data governance Data management Finance KPIs LLMs Machine Learning NLP Privacy Security
Perks/benefits: Career development Competitive pay Equity / stock options
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