1

Manager Ai Governance Jobs in Springfield, MA (NOW HIRING)

... Governance Ensure that all AI projects comply with established AI guardrails including ethical ... Manage the capacity and scalability of AI models to ensure optimal performance and resource ...

Technical Program Manager Gen AI

Hartford, CT · On-site

$130K - $168K/yr

... Governance Ensure that all AI projects comply with established AI guardrails including ethical ... Manage the capacity and scalability of AI models to ensure optimal performance and resource ...

... management, and stakeholder engagement, including: Initiation & Review: Guides requestors through ... Develops, maintains and socializes AI governance policies, standards, and procedures. Active ...

Lead AI Governance & Responsible Use: Maintain and evolve the firm's AI governance framework ... Manage Stakeholders & Advocate: Serve as the senior point of contact for AI enablement across ...

Deep familiarity with AI governance, model risk management, responsible AI practices, and ... compliancebydesign expectations. * Demonstrated success translating strategy into coordinated ...

next page

Showing results 1-20

Manager Ai Governance information

See Springfield, MA salary details

$28.9K

$104.2K

$117.6K

How much do manager ai governance jobs pay per year?

As of Aug 25, 2026, the average yearly pay for manager ai governance in Springfield, MA is $104,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $116,100.00 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.

What are popular job titles related to Manager Ai Governance jobs in Springfield, MA?

For Manager Ai Governance jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Manager Ai Governance jobs in Springfield, MA look for?

The top searched job categories for Manager Ai Governance jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Manager Ai Governance jobs?

Cities near Springfield, MA with the most Manager Ai Governance job openings:

Program Manager Gen AI

Edge Global

Hartford, CT • On-site

Other

Re-posted 2 days ago


Job description

Position: Program Manager Gen AI

Location: : Hartford CT (5 days in a week)

Job type: Contract

JD:-

  • Technical Program Manager AI Center of Enablement Position Overview Seeking a highly skilled and experienced Technical Program Manager for AI Center of Enablement The ideal candidate will work closely with various departments to manage the execution of proposed AI experiments and use cases This role involves analyzing the value delivered by AI use cases ensuring architecture reviews are conducted delivery checklists are followed and AI guardrails are metThe Technical Program Manager will play a critical role in driving the successful implementation of AI initiatives across the organization Key Responsibilities AI Use Case Analysis Analyze the value delivered by AI use cases assessing both quantitative and qualitative benefits Work with finance controllers to validate the financial value calculations of AI use cases Provide regular reports and updates to stakeholders on the performance and outcomes of AI projects Architecture Review Ensure that all AI projects undergo thorough architecture reviews to validate technical feasibility and alignment with best practices Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations Maintain documentation of architecture review findings and recommendations for continuous improvement Delivery Management Oversee the execution and delivery of AI projects ensuring adherence to project timelines budgets and quality standards Implement and enforce delivery checklists to ensure all critical steps and requirements are met Coordinate with cross functional teams including data scientists engineers and product managers to ensure successful project delivery AI Governance Ensure that all AI projects comply with established AI guardrails including ethical guidelines data privacy and security standards Implement monitoring and auditing mechanisms to track compliance with AI governance policies Develop and maintain documentation for AI governance including model validation testing and deployment protocols AI Model Capacity Management Manage the capacity and scalability of AI models to ensure optimal performance and resource utilization Monitor and forecast AI model capacity needs adjusting as necessary to meet project demands Collaborate with infrastructure and operations teams to ensure the AI platform can support current and future model requirements Stakeholder Collaboration Facilitate effective communication and collaboration among cross functional teams and stakeholders Conduct regular meetings and workshops to gather feedback address concerns and ensure alignment on project goals and priorities Act as a liaison between business units and technical teams translating business requirements into technical specifications Continuous Improvement Identify opportunities for process improvements and efficiencies in AI project management and delivery Stay up to date with the latest advancements in AI technology and best practices continuously seeking ways to enhance the AI Center of Enablement Foster a culture of innovation and continuous learning within the team encouraging the exploration of new technologies and methodologies Value Calculation Financial Validation Collaborate with finance controllers to validate the financial value calculations of AI use cases Ensure accurate and transparent reporting of the financial impact of AI projects