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AI Ethics and Governance Lead

An AI Ethics and Governance Lead ensures an organization builds and uses AI responsibly. They set policies, run risk and bias assessments, and align systems with law and emerging regulation. Working across legal, product, and engineering, they balance innovation with fairness, transparency, and accountability so AI earns and keeps user and public trust.

Responsibilities

Define responsible-AI policies and standards
Run bias, fairness, and risk assessments on AI systems
Track and interpret AI regulation and compliance needs
Advise product and engineering on ethical trade-offs
Build governance processes and review boards
Educate teams on responsible AI practices

Must-have skills

Knowledge of AI ethics, fairness, and risk frameworks
Understanding of AI and ML at a working level
Familiarity with relevant law and regulation
Strong stakeholder management and communication
Policy writing and process design

Nice-to-have skills

Legal, compliance, or public policy background
Experience auditing models for bias
Data privacy expertise
Technical fluency in model evaluation

Average Salary

Typical US base salary for an HR Generalist by experience level.

Junior

0–2 yrs experience

$100,000 – $130,000
US annual salary (USD)

Intermediate

0–2 yrs experience

$130,000 – $170,000

US annual salary (USD)

Senior

0–2 yrs experience

$170,000 – $230,000

US annual salary (USD)

Figures are annual US market estimates for orientation, not offers. Actual pay varies by location, company stage, and equity.

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Frequently asked questions

What does an AI Ethics and Governance Lead do?
They set the rules and processes for building and using AI responsibly, assess risks like bias and privacy, and keep the organization aligned with law and public expectations.
Is this a technical or a policy role?
It sits between the two. Strong candidates understand how models work well enough to assess risk while also handling policy, law, and stakeholder alignment.
Why are companies hiring for AI governance now?
Growing regulation, public scrutiny, and real risks from AI make responsible governance a business necessity rather than an afterthought.
What background suits this role?
Backgrounds range from law and policy to data science and ethics. What matters is combining responsible-AI knowledge with practical influence across teams.

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