--- title: 'Senior Manager - Data & AI Governance at Mercury' canonical: 'https://feeny.ai/job/senior-manager-data-ai-governance-mercury-san-francisco-ca-new-york-ny-portland-11gvbtpp1nhd' type: 'job' last_seen: '2026-09-13' --- # Senior Manager - Data & AI Governance at Mercury - **Company:** Mercury - **Location:** San Francisco CA New York NY Portland OR OR Within, United States - **Compensation:** $203k–$282k - **Work type:** remote - **Posted:** 2026-08-13 - **Last confirmed live:** 2026-09-13 - **Apply:** https://job-boards.greenhouse.io/mercury/jobs/6142625004 ## Job description 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 multiple stakeholders. - Strong 1LOD/2LOD judgment with an understanding of how enterprise Risk should govern, challenge, and partner with Engineering without taking ownership of 1LOD risks. - Pragmatic judgment: Translates principles into workable processes and focuses on material risks over theoretical ones. - Technical curiosity: Understands technical complexity while staying focused on business and customer outcomes. - Decisive and collaborative: Makes sound decisions amid ambiguity, moves quickly, and challenges constructively across teams Preferred Qualifications: - Experience within a fintech, financial institution, technology company, or other highly regulated environment. - Familiarity with banking regulatory expectations for data management, model risk, third-party risk, privacy, consumer protection, and information security. - Experience with recognized data- and AI-governance frameworks and standards, such as DAMA-DMBOK, NIST AI RMF, ISO/IEC 42001, or comparable frameworks. - Experience governing third-party data, vendor AI solutions, and embedded AI capabilities. - Technical or analytical experience in data architecture, data engineering, machine learning, analytics, or software development. - Experience operating in a company-building or bank-building environment *Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC. Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. ## #LI-DR1 Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $225,800—$282,300 USD US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $203,300—$254,100 USD ## About Mercury ## Company Overview - **One-liner**: Mercury provides banking and financial workflow solutions for startups and ambitious companies. - **Entity Type**: Private (venture-backed) - **Headquarters**: San Francisco, California, USA (offices also in New York, NY and Portland, OR) - **Founded**: Not publicly available - **Founders**: Not publicly available ## Core Business - **Primary industry/industries**: Fintech, Business Banking, Financial Operations - **Target customers**: B2B – primarily startups and growing companies - **Mission or purpose statement**: “Transformative banking for ambitious entrepreneurs” – making banking better and simplifying financial operations so businesses can focus on growth. ## Products & Services - **Mercury Banking**: A powerful business bank account (checking, savings, debit and credit cards) that serves as the nucleus of financial operations. (Service) - **Bill Pay & Spend Management**: Tools to pay bills, send invoices, monitor spending, and understand cash flow – all from one platform. (SaaS/Service) - **Financial Operations Platform**: Integrates payments, invoices, bill pay, cash flow monitoring, and spend management into a single dashboard. (SaaS) ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Over 200,000 startups use Mercury; employees count exceeded 1,000 (950+ as of one source, 919 U.S.-based employees reported by Great Place to Work). - **Notable Investors/Partners**: Backed by top-tier venture capitalists (specific names not disclosed in available sources). Banking services provided through Choice Financial Group, Column N.A., and Evolve Bank & Trust (Members FDIC). - **Growth Signals**: - Within days of Silicon Valley Bank’s failure (March 2023), Mercury picked up more than $2 billion in deposits and retained 92% of those customers six months later. - Recognized on Fortune’s Best Medium Workplaces 2023 (ranked 16th), Forbes Fintech 50, and Fast Company’s Most Innovative. - 96% of employees say Mercury is a great place to work (Great Place to Work certified). ## Competitive Advantages - **All-in-One Financial Hub**: Combines banking, payments, bill pay, and spend management in one platform, reducing the need for multiple tools. - **Startup-First Design**: Built specifically for high-growth companies, with features that scale from early stage to established enterprise. - **High Customer Retention**: Proven stickiness after the SVB crisis demonstrates strong trust and product-market fit. - **Top-Tier Backing and Recognition**: Endorsed by leading investors and media, reinforcing credibility. ## Strategic Focus - **Product Expansion**: Continuing to build out financial workflows (bill pay, spend management) to become the single source of truth for business finance. - **AI Integration**: Hiring for roles like Senior Machine Learning Operations Engineer, AI Engineering, and Model Risk Manager – indicating a push to embed AI/ML into products and internal processes. - **Remote-First Talent**: Embracing a remote-first culture with physical offices in SF, NY, Portland, and hiring across the US and Canada. ## Why Work Here - **Culture & Values**: Emphasizes “build relentlessly,” “think actively,” “be super helpful,” and “act with humility.” Employees report a strong sense of purpose and collaboration. - **Remote & Hybrid Flexibility**: Remote-first with optional in-office hubs. Open roles are listed as “Any office or remote” in the US and Canada. - **Benefits Package**: - Health, dental, vision insurance - 12+ weeks paid parental leave - $600 custom work-from-home equipment setup - Annual $1,000 learning & development budget - Paid 6-week sabbatical after 5 years - Weekly $100 food budget - Monthly $100 wellness budget - Monthly $50 cellphone reimbursement - Unlimited vacation (with mandatory minimum) - 401(k) matching up to 4% of base salary - Inclusive fertility and family-forming benefits (Carrot Fertility) - Pet-friendly offices with free lunch, snacks, and beverages - **Growth Opportunities**: 950+ employees (as of one source) and growing; strong commitment to career development and high-impact work. - **Diversity & Inclusion**: Stated priority to embrace every individual and provide tools for great work. ## Sources 1. [mercury.com/jobs](https://mercury.com/jobs) – Benefits, culture, open roles 2. [mercury.com/about](https://mercury.com/about) – Company overview, values, press mentions, Forbes quote 3. [job-boards.greenhouse.io/mercury](https://job-boards.greenhouse.io/mercury) – Current job listings 4. [linkedin.com/company/mercuryhq/jobs](https://www.linkedin.com/company/mercuryhq/jobs) – LinkedIn jobs page 5. [greatplacetowork.com/certified-company/7025113](https://www.greatplacetowork.com/certified-company/7025113) – Employee satisfaction certification, headcount ## Other roles at Mercury - [Senior Customer Support Systems Administrator](https://feeny.ai/job/senior-customer-support-systems-administrator-mercury-san-francisco-ca-new-york-5khhdtr2jp1x) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States - [AML Investigator III](https://feeny.ai/job/aml-investigator-iii-mercury-san-francisco-ca-new-york-ny-portland-or-or-within-mp5j7my27qy8) — San Francisco CA New York NY Portland OR OR Within, United States - [Senior Technical Program Manager - Credit & Lending](https://feeny.ai/job/senior-technical-program-manager-credit-lending-mercury-san-francisco-ca-new-dphrdn3s6r9t) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States - [Head of Product - Business Banking](https://feeny.ai/job/head-of-product-business-banking-mercury-san-francisco-ca-new-york-ny-portland-2vv7rm0tck8n) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States - [Head of Product - Personal Banking](https://feeny.ai/job/head-of-product-personal-banking-mercury-san-francisco-ca-new-york-ny-portland-7wnvk7zsrc9v) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States - [Senior Machine Learning Operations Engineer](https://feeny.ai/job/senior-machine-learning-operations-engineer-mercury-san-francisco-ca-new-york-cxtq8c1pd26m) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States - [Senior Financial Data Reconciliation Analyst](https://feeny.ai/job/senior-financial-data-reconciliation-analyst-mercury-san-francisco-ca-new-york-k3x8zfg3b4h7) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-mercury-san-francisco-ca-new-york-ny-portland-hnbbzydtvh5x) — San Francisco CA New York NY Portland OR OR Within, United States - [Senior Software Engineer - SRE](https://feeny.ai/job/senior-software-engineer-sre-mercury-san-francisco-ca-new-york-ny-portland-or-c3x35h94p5a7) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States - [Senior Software Engineer - Investments](https://feeny.ai/job/senior-software-engineer-investments-mercury-san-francisco-ca-new-york-ny-4gep3atcj5a6) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States