They are seeking a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution, focusing on reducing risk across SaaS and third-party ecosystems.
They are seeking a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution, focusing on reducing risk across SaaS and third-party ecosystems.
Director, AI Governance & Policy
Boston, MA · On-site
$184 - $276/hr
The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...
Director, AI Governance & Policy
Boston, MA · On-site
$184 - $276/hr
The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...
The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...
The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...
The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...
The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...
Senior AI Governance Analyst
Jersey City, NJ · On-site
$100K - $130K/yr
Manage the active case queue, follow up on missing information and overdue reviews, track service ... AI Governance Platform Administration and Data Quality * Administer day-to-day records and ...
Senior AI Governance Analyst
Jersey City, NJ · On-site
$100K - $130K/yr
Manage the active case queue, follow up on missing information and overdue reviews, track service ... AI Governance Platform Administration and Data Quality * Administer day-to-day records and ...
AVP, Data & AI Governance Manager New York City
Manhattan, NY · On-site
$165 - $185/hr
Oversee model risk management, AI lifecycle governance, and third-party AI usage * Drive data quality, metadata management, and lineage transparency * Partner with architecture, cybersecurity, and ...
AVP, Data & AI Governance Manager New York City
Manhattan, NY · On-site
$165 - $185/hr
Oversee model risk management, AI lifecycle governance, and third-party AI usage * Drive data quality, metadata management, and lineage transparency * Partner with architecture, cybersecurity, and ...
Director, AI Governance & Policy
Boston, MA · On-site
$184 - $276/hr
The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...
Director, AI Governance & Policy
Boston, MA · On-site
$184 - $276/hr
The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data ...
AVP, Data & AI Governance Manager
New York, NY · On-site
$165K - $185K/yr
Oversee model risk management, AI lifecycle governance, and third-party AI usage * Drive data quality, metadata management, and lineage transparency * Partner with architecture, cybersecurity, and ...
AVP, Data & AI Governance Manager
New York, NY · On-site
$165K - $185K/yr
Oversee model risk management, AI lifecycle governance, and third-party AI usage * Drive data quality, metadata management, and lineage transparency * Partner with architecture, cybersecurity, and ...
Head of AI Governance
New York, NY · On-site
$225K/yr
Working across Data Science, AI Engineering, Data Management, Data Governance, Risk, Legal, Compliance, Security, and Technology teams, the AI Governance Lead drives the integration of governance ...
Head of AI Governance
New York, NY · On-site
$225K/yr
Working across Data Science, AI Engineering, Data Management, Data Governance, Risk, Legal, Compliance, Security, and Technology teams, the AI Governance Lead drives the integration of governance ...
The Staff Product Manager, AI Governance & Supply Chain Integration Risk will lead product strategy and execution to help customers understand and reduce risks across their SaaS and third-party ...
The Staff Product Manager, AI Governance & Supply Chain Integration Risk will lead product strategy and execution to help customers understand and reduce risks across their SaaS and third-party ...
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 ...
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 ...
Senior AI Governance & Risk Lead
Scottsdale, AZ · On-site
$144.45 - $152/hr
You will be a key member of the AI Governance team, required to have at least 8 years of experience in relevant fields, with a focus on evaluating and managing AI governance risks. The ideal ...
Senior AI Governance & Risk Lead
Scottsdale, AZ · On-site
$144.45 - $152/hr
You will be a key member of the AI Governance team, required to have at least 8 years of experience in relevant fields, with a focus on evaluating and managing AI governance risks. The ideal ...
AI Governance Analyst
Boise, ID · On-site
Summary As an AI Governance Analyst at Simplot, you will help turn Simplot's AI governance ... Vendor risk management, procurement, or third-party assessments with a technology focus * Business ...
AI Governance Analyst
Boise, ID · On-site
Summary As an AI Governance Analyst at Simplot, you will help turn Simplot's AI governance ... Vendor risk management, procurement, or third-party assessments with a technology focus * Business ...
Senior AI Governance Analyst
Jersey City, NJ · On-site
$110 - $170/hr
Reporting to the Director, AI Governance Lead within the Chief Data Office, this individual contributor will manage the day-to-day execution of AI use case intake, initial risk triage, stakeholder ...
Senior AI Governance Analyst
Jersey City, NJ · On-site
$110 - $170/hr
Reporting to the Director, AI Governance Lead within the Chief Data Office, this individual contributor will manage the day-to-day execution of AI use case intake, initial risk triage, stakeholder ...
In this role, you will own product marketing for Databricks AI Governance portfolio, including Unity AI Gateway. Reporting to the Senior Director of Product Marketing, you'll define and execute ...
In this role, you will own product marketing for Databricks AI Governance portfolio, including Unity AI Gateway. Reporting to the Senior Director of Product Marketing, you'll define and execute ...
Senior Manager - Data & AI Governance
San Francisco, CA · On-site
$226 - $282/hr
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 ...
Senior Manager - Data & AI Governance
San Francisco, CA · On-site
$226 - $282/hr
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 ...
AI Governance Lead
Baltimore, MD · On-site
$134 - $241/hr
Process & Board Management: Establish, coordinate, and manage AI governance review boards, project intake processes, and lifecycle decision points to promote accountability, assess capability ...
New
AI Governance Lead
Baltimore, MD · On-site
$134 - $241/hr
Process & Board Management: Establish, coordinate, and manage AI governance review boards, project intake processes, and lifecycle decision points to promote accountability, assess capability ...
New
Senior Manager - Data & AI Governance
San Francisco, CA · On-site
$226 - $282/hr
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 ...
Senior Manager - Data & AI Governance
San Francisco, CA · On-site
$226 - $282/hr
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 ...
Senior Manager - Data & AI Governance
Portland, OR · On-site
$226 - $282/hr
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 ...
Senior Manager - Data & AI Governance
Portland, OR · On-site
$226 - $282/hr
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 ...
Reporting to the Director, AI Governance Lead within the Chief Data Office, this individual contributor will manage the day-to-day execution of AI use case intake, initial risk triage, stakeholder ...
Reporting to the Director, AI Governance Lead within the Chief Data Office, this individual contributor will manage the day-to-day execution of AI use case intake, initial risk triage, stakeholder ...
Manager Ai Governance information
See salary details
$29K - $37.1K
1% of jobs
$37.1K - $45.2K
5% of jobs
$45.2K - $53.3K
3% of jobs
$53.3K - $61.4K
3% of jobs
$61.4K - $69.5K
3% of jobs
$69.5K - $77.5K
1% of jobs
$77.5K - $85.6K
1% of jobs
$85.6K - $93.7K
1% of jobs
$93.7K - $101.8K
1% of jobs
$101.8K - $109.9K
1% of jobs
$110.3K is the 25th percentile. Wages below this are outliers.
$109.9K - $118K
79% of jobs
$29K
$104.6K
$118K
How much do manager ai governance jobs pay per year?
As of Aug 23, 2026, the average yearly pay for manager ai governance in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.
What is a manager AI governance?
Manager AI Governance roles involve overseeing the ethical, regulatory, and operational aspects of artificial intelligence systems within an organization. These managers establish policies, ensure compliance with legal requirements, and monitor AI projects to mitigate risks such as bias, privacy violations, or unintended consequences. They collaborate with technical teams, legal experts, and stakeholders to create frameworks that promote responsible AI use. Their work is crucial for building trust in AI technologies and aligning them with organizational values and public expectations.
What are some common challenges faced by a manager AI governance when implementing ethical AI practices across an organization?
A Manager of AI Governance often encounters challenges such as aligning diverse stakeholders on ethical standards, ensuring compliance with evolving regulations, and integrating responsible AI practices into existing business processes. Navigating the balance between innovation and risk mitigation can be complex, particularly in organizations with rapidly scaling AI initiatives. Additionally, fostering cross-functional collaboration between technical teams, legal, compliance, and business units is essential for creating robust governance frameworks that are both practical and effective.
What are the key skills and qualifications needed to thrive as a manager AI governance, and why are they important?
To thrive as a Manager AI Governance, you need a strong background in data science, AI ethics, regulatory compliance, and risk management, often supported by degrees in computer science, law, or related fields. Familiarity with AI governance frameworks, compliance tools, data privacy regulations, and certifications like CIPP or CISSP is typically required. Exceptional communication, strategic thinking, and stakeholder management skills help navigate complex ethical considerations and align teams. These competencies are crucial to ensure responsible AI deployment, regulatory adherence, and organizational trust in AI initiatives.
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States with the most job openings for Manager Ai Governance jobs include:
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Staff Product Manager, AI Governance & Supply Chain Integration Risk
Atlanta, GA • On-site
Full-time
Re-posted 6 days ago
Job description
Job Summary:
Obsidian Security is the leading SaaS security platform, trusted by global enterprises. They are seeking a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution, focusing on reducing risk across SaaS and third-party ecosystems.
Responsibilities:
• Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact.
• Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps.
• Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact.
• Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics.
• Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows.
• Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable.
• Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops.
• Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure.
• Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations.
• Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results.
Qualifications:
Required:
• 7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software.
• Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact.
• Experience owning a product area from strategy through execution, launch, adoption, and iteration.
• Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture.
• Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs.
• Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows.
• Proven ability to lead cross-functional teams without formal authority.
• Excellent written and verbal communication skills.
Company:
Obsidian Security provides SaaS and AI security software that detects threats, manages risks, and secures enterprise applications. Founded in 2017, the company is headquartered in Newport Beach, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Obsidian Security is the leading SaaS security platform, trusted by global enterprises. They are seeking a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution, focusing on reducing risk across SaaS and third-party ecosystems.
Responsibilities:
• Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact.
• Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps.
• Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact.
• Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics.
• Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows.
• Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable.
• Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops.
• Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure.
• Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations.
• Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results.
Qualifications:
Required:
• 7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software.
• Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact.
• Experience owning a product area from strategy through execution, launch, adoption, and iteration.
• Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture.
• Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs.
• Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows.
• Proven ability to lead cross-functional teams without formal authority.
• Excellent written and verbal communication skills.
Company:
Obsidian Security provides SaaS and AI security software that detects threats, manages risks, and secures enterprise applications. Founded in 2017, the company is headquartered in Newport Beach, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Obsidian Security
Sourced by ZipRecruiter
Industry
Network security
Company size
11 - 50 Employees
Headquarters location
Newport Beach, CA, US
Year founded
2017