Greenhouse ·
full-timeSenior Manager - Data & AI Governance
Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within United States
Mercury is seeking a senior manager to lead its enterprise‑wide data and AI governance initiative. The role reports to the Chief Risk Officer and will create the standards, policies, and operating model that define how data and artificial intelligence are owned, developed, used, protected, and monitored across the organization. Day‑to‑day work involves designing governance frameworks, establishing accountability for data ownership, stewardship, quality, lineage, classification, access, retention, and appropriate use, and building a risk‑based process for AI use cases from intake through retirement. The manager will partner with data, engineering, product, security, legal, compliance, and model‑risk teams to embed governance into development workflows, maintain inventories of data assets and AI applications, define classifications based on sensitivity and impact, and translate emerging regulations into proportionate controls. The ideal candidate brings over ten years of experience in data or AI governance, technology risk, privacy, or compliance, has built or enhanced governance programs, possesses technical fluency to collaborate with engineering and data teams, and can drive responsible innovation without adding unnecessary complexity.
Mercury is seeking a Data & AI Governance leader to build and spearhead an enterprise-wide governance program for data and artificial intelligence. Reporting to the Chief Risk Officer, this leader will establish practical standards for how data and AI are owned, developed, used, protected, and monitored across the organization. The ideal candidate combines strong governance and risk-management experience with sufficient technical fluency to work effectively with Data, Engineering, Product, Information Security, Legal, Compliance, and business teams. This person should be comfortable building in a fast-moving environment and designing governance that supports responsible innovation without creating unnecessary complexity. This role will work closely with the Model Risk Management and Information Security teams while maintaining a distinct mandate: Data & AI Governance will establish enterprise governance and responsible-use standards, while Model Risk Management will retain responsibility for model inventory, tiering, validation, and model-risk oversight. Key Responsibilities: Develop and implement Mercury’s enterprise Data and AI Governance frameworks, policies, standards, and operating model. Establish clear accountability for data ownership, stewardship, quality, lineage, classification, access, retention, and appropriate use. Create a risk-based governance process for AI use cases across their lifecycle, including intake, assessment, approval, implementation, monitoring, and retirement. Develop responsible-AI principles and standards addressing transparency, explainability, fairness, privacy, security, human oversight, reliability, and regulatory compliance. Maintain an enterprise inventory of material data assets, AI use cases, and related governance decisions in coordination with relevant stakeholders. Define risk-based classifications and governance requirements based on the sensitivity, complexity, materiality, and customer or regulatory impact of each use case. Establish governance for internally developed, vendor-provided, and embedded AI capabilities, including generative AI. Partner with various Product, Engineering, Data, and business teams to embed governance requirements into development and change-management processes. Coordinate with Model Risk Management to determine when an AI use case meets the definition of a model and is subject to model-risk requirements. Partner with Information Security and Technology Risk on data protection, cybersecurity, access, architecture, resilience, and technology-control considerations. Partner with Legal and Compliance to identify and implement applicable regulatory, contractual, consumer-protection, and privacy requirements. Develop processes for identifying, documenting, escalating, and remediating data- and AI-related risks and issues. Establish metrics/reporting to provide management and Board committees with visibility into data quality, governance maturity, AI adoption, exceptions, incidents, and emerging risks. Monitor regulatory developments, industry practices, and emerging risks related to data and AI, and translate them into proportionate governance expectations. Support relevant Data and AI governance forums/committees and facilitate timely, well-documented decisions. Eventually, build and lead a high-performing Data & AI Governance team as the program matures. Promote a culture in which data is treated as an enterprise asset and AI is used responsibly, transparently, and in alignment with Mercury’s risk appetite. Qualifications: 10+ years of relevant experience in data governance, AI governance, technology risk, information governance, model risk, privacy, compliance, or a related discipline. Demonstrated experience building or materially enhancing a data governance, AI governance, or responsible-AI program. Strong understanding of data ownership, stewardship, quality, lineage, metadata, classification, access, retention, and lifecycle management. Working knowledge of AI and machine-learning concepts, including generative AI, large language models, training and inference data, explainability, bias, performance monitoring, and human oversight. Experience developing practical, risk-based policies and governance processes that can operate effectively in a fast-moving technology environment. Ability to distinguish among data governance, AI governance, model risk, information security, privacy, and compliance responsibilities while coordinating effectively across those functions. Strong judgment and the ability to balance innovation, customer outcomes, regulatory expectations, and risk management. Demonstrated ability to influence senior executives, technical teams, and business leaders without relying solely on formal authority. Excellent written and verbal communication skills, including the ability to explain complex technical and risk concepts to executive and Board audiences. Experience leading teams and managing cross-functional programs with
| Role | Senior Manager - Data & AI Governance |
|---|---|
| Company | Mercury |
| Location | San Francisco, CA, New York, NY, Portland, OR, or Remote within United States |
| Type | internship |
| Compensation | Not disclosed |
| Posted | 2026-09-30 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Manager - Data & AI Governance at Mercury: frequently asked questions
- What is the salary for this role?
- Mercury has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Senior Manager - Data & AI Governance position remote, hybrid or onsite?
- The listing marks this role as remote, with San Francisco, CA, New York, NY, Portland, OR, or Remote within United States as the location.
- What is the application deadline?
- Mercury has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Manager - Data & AI Governance role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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