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Mercury

Senior Manager - Data & AI Governance

Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within United States

Posted about 2 months ago

or apply directly on Mercury's site. We never take the application ourselves.

Is this posting real?

This role has been open
69 days
Mercury's roles stay open a median of 77 days
Reposted
No
Salary listed
No
2% of Mercury's roles list one
Ghost-job risk at Mercury
high
58 stale, 1 reposted of 60 open
Hiring momentum
92 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Mercury's own greenhouse board since 2026-08-03. Full hiring picture for Mercury.

About this role

The Senior Manager - Data & AI Governance at Mercury will lead the development and implementation of an enterprise-wide governance program for data and AI. This role involves establishing standards for data ownership, stewardship, and responsible AI use, while collaborating with various teams to ensure compliance and effective governance processes. The position also includes monitoring regulatory developments and promoting a culture that values data as an enterprise asset.

Our read on this posting2.4out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Mercury as an employer.

What you need

  • 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

Nice to have

  • 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

What you get

  • Total rewards package includes base salary, equity (stock options/RSUs), and benefits
  • Highly competitive salary and equity ranges updated regularly based on reliable compensation survey data
  • Target new hire base salary ranges for this role are $225,800 - $282,300 for employees in certain cities and $203,300 - $254,100 for employees outside those cities

Worth weighing

  • No specific mention of remote work flexibility beyond US locations
  • Role involves significant collaboration across various teams, which may require adaptability to different working styles
  • The position requires balancing innovation with regulatory compliance, which can be complex and challenging

Summarised from Mercury's posting. Read the full original.

Listed by Mercury on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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