Senior Manager - Data & AI Governance

Mercury
San Francisco, New York, United States
Workplace: RemoteFull timeUSD 203,300 - 282,300 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Judgment","Cross-functional influence","Written communication","Collaboration","Program leadership"]

Build and spearhead Mercury’s enterprise governance program for data and AI, establishing frameworks, standards, and an operating model for ownership, stewardship, quality, lineage, access, retention, and appropriate use. Lead risk-based governance across the AI lifecycle, define responsible-AI principles, maintain inventories of material assets and use cases, and partner with Risk, Model Risk Management, Information Security, Legal, and Compliance to embed requirements into product and engineering processes.

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FursaFursa
Mercury
Mercury
1 day ago

Senior Manager - Data & AI Governance

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Last checked: 9 hours agoStatus: Live

Job Summary

Build and spearhead Mercury’s enterprise governance program for data and AI, establishing frameworks, standards, and an operating model for ownership, stewardship, quality, lineage, access, retention, and appropriate use. Lead risk-based governance across the AI lifecycle, define responsible-AI principles, maintain inventories of material assets and use cases, and partner with Risk, Model Risk Management, Information Security, Legal, and Compliance to embed requirements into product and engineering processes.
Location: San Francisco, New York, United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop and implement enterprise Data and AI Governance frameworks, policies, standards, and operating model.
  • •Establish accountability and governance for data ownership, stewardship, quality, lineage, classification, access, retention, and appropriate use.
  • •Create a risk-based governance process for AI use cases across intake, assessment, approval, implementation, monitoring, and retirement.
  • •Develop responsible-AI principles covering transparency, explainability, fairness, privacy, security, human oversight, reliability, and regulatory compliance.
  • •Partner with Model Risk Management, Information Security, Legal, and Compliance to embed governance into development/change-management processes and maintain governance metrics/reporting for executives and Board committees.

Pay and Benefits

Salary: USD 203,300 - 282,300 annually
Equity and Bonus:Equity

Key Requirements

  • •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/inference data, explainability, bias, performance monitoring, and human oversight.
  • •Experience developing practical, risk-based policies and governance processes that operate effectively in a fast-moving technology environment.
Experience:10+ years
Skills:JudgmentCross-functional influenceWritten communicationCollaborationProgram leadership
Certifications:DAM A-DMBOKNIST AI RMFISO/IEC 42001
Languages:English

Company Brief

Mercury
Provides banking and financial infrastructure for startups and small businesses, offering business checking accounts, payments, debit cards, venture debt integrations, and treasury services via a developer-friendly platform.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn