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Manager Ai Governance Jobs (NOW HIRING)

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 ...

AVP, Data & AI Governance Manager

New York, NY ยท 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 ...

About the Role As an AI Governance Success Manager at Credo AI, you will guide customers in the enterprise-wide adoption of the Credo AI Governance Platform. You will lead account and project ...

The AI Governance Manager will play a critical role in developing, implementing, and enforcing policies and frameworks to ensure the responsible, ethical, and compliant use of Artificial Intelligence ...

SummaryAs anAI Governance Analystat Simplot, you will helpturn Simplot's AI governance principles ... risk management, procurement, or third-party assessmentswith a technology focusBusinessanalysis ...

The AI Governance Manager will play a critical role in developing, implementing, and enforcing policies and frameworks to ensure the responsible, ethical, and compliant use of Artificial Intelligence ...

The AI Governance Manager will play a critical role in developing, implementing, and enforcing policies and frameworks to ensure the responsible, ethical, and compliant use of Artificial Intelligence ...

Our client is seeking an AI Governance Specialist to develop and implement comprehensive AI governance frameworks, policies, and risk management controls. This role is ideal for an experienced ...

Benefits - Avangrid Job Summary The Senior Manager - Data & AI Governance role is responsible for establishing, operating, and continuously evolving Avangrid's enterprise Data and Artificial ...

Governance Program Management * Chair and facilitate the L3 Data & AI Governance Working Group and coordinate domain governance routines. * Build and manage the governance activation roadmap ...

OR ยท On-site

Obsidian Security is looking for a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution for how customers understand, prioritize, and reduce ...

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Manager Ai Governance information

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$104.6K

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How much do manager ai governance jobs pay per year?

As of Aug 8, 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 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.

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.
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What cities are hiring for Manager Ai Governance jobs? Cities with the most Manager Ai Governance job openings:
What are the most commonly searched types of Ai Governance jobs? The most popular types of Ai Governance jobs are:
What states have the most Manager Ai Governance jobs? States with the most job openings for Manager Ai Governance jobs include:
Infographic showing various Manager Ai Governance job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Staff Product Manager, AI Governance & Supply Chain Integration Risk

Obsidian Security

Atlanta, GA โ€ข On-site

Full-time

Re-posted 21 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:
โ€ข Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact.
โ€ข Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps.
โ€ข Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact.
โ€ข Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics.
โ€ข Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows.
โ€ข Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable.
โ€ข Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops.
โ€ข Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure.
โ€ข Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations.
โ€ข Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results.
Qualifications:
Required:
โ€ข 7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software.
โ€ข Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact.
โ€ข Experience owning a product area from strategy through execution, launch, adoption, and iteration.
โ€ข Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture.
โ€ข Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs.
โ€ข Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows.
โ€ข Proven ability to lead cross-functional teams without formal authority.
โ€ข 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.