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Ai Policy Manager Jobs (NOW HIRING)

Meta

Monetization Policy Manager

San Francisco, CA · On-site

$122K - $180K/yr

Meta is hiring a Monetization Policy Manager with expertise in privacy, AI, and technology policy issues to join our Monetization Policy team and help us build products, services, and technologies ...

Vrtx

Director, AI Governance & Policy

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...

DoubleVerify

Policy Manager, Product Policy

New York, NY · On-site

$118K - $127K/yr

The policy manager will work across content verticals ranging from hate speech to crime, violence ... Familiarity with no-code and AI tools in professional settings. * Familiarity with internet policy ...

DoubleVerify, Inc

Policy Manager, Product Policy

New York, NY · On-site +1

$118K - $127K/yr

The policy manager will work across content verticals ranging from hate speech to crime, violence ... Familiarity with no-code and AI tools in professional settings. * Familiarity with internet policy ...

FAS

Manager, AI Safety and Security Policy

Washington, DC · On-site

$121K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Manager, AI Safety and Security Policy Full-time, 1-year termed FAS staff position with benefits Washington, DC | Hybrid To Sum It Up... What's the "elevator pitch" for the role? FAS is expanding its ...

FAS

Manager, AI Safety and Security Policy

Washington, DC · On-site

$122K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Manager, AI Safety and Security Policy Full-time, 1-year termed FAS staff position with benefits Washington, DC | Hybrid To Sum It Up... What's the "elevator pitch" for the role? FAS is expanding its ...

Ezenius Inc

AI Architect

Catonsville, MD · Remote

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

... AI policy topics. · Promote responsible AI development of AI products and services. · Brief executive leadership, management, customer, and team using written or oral skills as appropriate ...

Ezenius Inc

AI Architect

Catonsville, MD · Remote

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

... AI policy topics. · Promote responsible AI development of AI products and services. · Brief executive leadership, management, customer, and team using written or oral skills as appropriate ...

DataCT LLC

Pricing & Policy Manager

New York, NY

$160K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with L&RM Account Managers on policy interpretation for edge cases (e.g., derivative works, redistribution, AI/ML training usage, embedded usage, downstream sublicensing). * Coordinate with ...

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Ai Policy Manager information

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$109.6K

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How much do ai policy manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai policy manager in the United States is $109,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is an AI Policy Manager?

AI Policy Managers are professionals responsible for developing, implementing, and overseeing policies related to the ethical, legal, and safe use of artificial intelligence within organizations or governments. They work to ensure AI technologies comply with regulations, align with organizational values, and address potential risks such as bias, privacy, and transparency. AI Policy Managers often collaborate with technical teams, legal advisors, and external stakeholders to create guidelines that promote responsible AI development and deployment.

How does an AI Policy Manager typically collaborate with technical and legal teams within an organization?

As an AI Policy Manager, you will regularly work with both technical experts (such as data scientists and engineers) and legal professionals to develop, implement, and monitor AI governance frameworks. Collaboration often involves translating technical details into policy language, ensuring compliance with evolving regulations, and facilitating discussions to align business objectives with ethical AI use. Effective communication and project management skills are crucial, as you'll often mediate between different perspectives to achieve consensus on responsible AI practices.

What are the key skills and qualifications needed to thrive as an AI Policy Manager, and why are they important?

To thrive as an AI Policy Manager, you need a solid background in public policy, technology ethics, and regulatory frameworks, often supported by a relevant degree and experience in tech or policy environments. Familiarity with AI systems, data privacy laws, and tools for policy analysis is essential, as well as certifications in data protection or technology policy. Strong communication, stakeholder engagement, and analytical thinking are pivotal soft skills for effectively navigating complex regulatory landscapes and influencing decision-makers. These skills ensure the development and implementation of responsible AI policies that balance innovation with societal and legal considerations.

What is the difference between Ai Policy Manager vs Data Privacy Officer?

AspectAi Policy ManagerData Privacy Officer
Required CredentialsAI ethics certifications, policy experiencePrivacy laws certifications (e.g., CIPP), legal background
Work EnvironmentTech companies, AI development firmsCorporate compliance, legal departments
Employer & Industry UsageAI-focused organizations, tech industryAny industry handling personal data

The Ai Policy Manager and Data Privacy Officer roles both focus on compliance and ethical standards but differ in their scope. The Ai Policy Manager concentrates on developing policies for AI systems, while the Data Privacy Officer manages data protection and privacy regulations. Both roles require certifications related to their fields and are common in tech and corporate environments, but they serve distinct functions within organizations.

What cities are hiring for Ai Policy Manager jobs?

Cities with the most Ai Policy Manager job openings:

What are the most commonly searched types of Ai Policy jobs?

The most popular types of Ai Policy jobs are:

What states have the most Ai Policy Manager jobs?

States with the most job openings for Ai Policy Manager jobs include:

What job categories do people searching Ai Policy Manager jobs look for?

The top searched job categories for Ai Policy Manager jobs are:

Ai Policy Manager jobs near you
Infographic showing various Ai Policy Manager job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $109,580 per year, or $52.7 per hour.

Director, AI Governance & Policy

Vertex Pharmaceuticals

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical

Job description

Job Description
General / Position Summary
Vertex is entering a transformative phase in its AI journey, where responsible, trusted, and compliant AI is foundational to accelerating innovation, improving patient outcomes, and enabling enterprise-wide productivity. We are seeking a visionary and execution-focused Director, AI Governance & Policy to lead Vertex's enterprise AI Governance program and establish the policies, operating models, and technology platforms that enable safe, ethical, and business-enabling adoption of AI across the company.
This role will lead the governance of generative AI, agentic AI, machine learning, and AI-enabled business solutions. The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data Governance, Information Security, Privacy, Legal, Compliance, Quality, and business stakeholders. The role will ensure AI innovation scales responsibly while balancing risk management with business value realization.
Key Duties & Responsibilities
Strategic Leadership
  • Define and execute the enterprise AI Governance strategy aligned with Vertex's business, data, and AI priorities.
  • Establish and evolve Vertex's Responsible AI framework, policies, standards, and governance operating model.
  • Serve as a trusted advisor to senior leaders on AI governance, risk, compliance, and emerging AI technologies.
  • Monitor industry trends, regulations, and best practices to continuously mature Vertex's AI governance capabilities.

AI Governance, Risk & Platform Ownership
  • Lead enterprise AI governance processes, including AI intake, review, approval, monitoring, and lifecycle management.
  • Define and maintain AI risk management frameworks, controls, and governance standards aligned with regulatory and industry expectations.
  • Own the strategy, roadmap, implementation, and operation of the enterprise AI Governance platform, including AI inventories, policy management, risk assessments, workflow automation, monitoring, reporting, and compliance evidence management.
  • Establish governance approaches for emerging AI technologies including generative AI, AI agents, knowledge graphs, and retrieval-augmented generation (RAG) solutions.
  • Ensure appropriate oversight, documentation, auditability, and accountability for AI systems, models, and agents deployed across the enterprise.

Responsible AI, Compliance & Cross-functional Leadership
  • Develop and maintain enterprise AI policies, standards, and guidelines supporting both regulated and non-regulated use cases.
  • Ensure compliance with evolving AI regulations, industry frameworks, and internal governance requirements.
  • Partner with Legal, Privacy, Compliance, Quality, Information Security, Data Governance, and Data & AI Product teams to embed governance-by-design into AI solutions.
  • Lead the AI Policy Council and AI Review process, ensuring effective governance, decision-making, and stakeholder alignment across the enterprise.

Culture, Training & Enablement
  • Promote AI literacy and Responsible AI adoption through training, communications, and stakeholder engagement programs.
  • Build a culture that enables innovation while maintaining trust, transparency, compliance, and accountability.

Knowledge & Skills
  • Deep expertise in AI governance, Responsible AI, risk management, and enterprise governance frameworks.
  • Strong understanding of generative AI, large language models (LLMs), AI agents, machine learning, knowledge graphs, and RAG architectures.
  • Experience designing and operating enterprise AI governance programs, policies, operating models, and governance technology platforms.
  • Knowledge of AI-related regulatory requirements and standards, including FDA, EMA, EU AI Act, HIPAA, GDPR, and GxP environments.
  • Strong understanding of data governance, privacy, security, and enterprise technology controls.
  • Proven ability to influence senior stakeholders, lead cross-functional initiatives, and drive organizational change in a matrixed environment.
  • Excellent communication, stakeholder management, and strategic leadership skills.

Education & Experience
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Law, Public Policy, or a related field required.
  • Advanced degree (MBA, Master's, JD, or equivalent experience) preferred.
  • 10+ years of experience in technology, governance, risk, compliance, data management, AI, or related disciplines.
  • 5+ years of experience leading enterprise governance, risk management, compliance, AI governance, or technology platform programs.
  • Experience owning or managing governance, risk, compliance, workflow, or policy management platforms strongly preferred.
  • Experience in biopharmaceutical, healthcare, or other highly regulated industries strongly preferred.
  • Professional certifications such as AIGP, CIPP, CRISC, CISM, ISO 42001, or related credentials are preferred.

#LI-HYBRID
Pay Range:
$184,000 - $276,000
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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