AI Enablement Manager

About EOTSS:

The Executive Office of Technology Services and Security (EOTSS) is the lead enterprise technology organization for the Commonwealth of Massachusetts. Charged with driving the ongoing alignment of business and technology across the Commonwealth’s Executive Branch, EOTSS oversees and manages the enterprise technology, digital infrastructure and services, as well as the Commonwealth Security Operations Center and an enterprise Standard Operating Environment that includes an information security and risk management framework for over 125 state agencies and over 43,000 state employees. We directly serve our constituents by providing digital services and tools that enable taxpayers, drivers, businesses, visitors, families and other citizens to do business with the Commonwealth in a way that makes every interaction with government easier, faster, and more secure.

Our Mission: We provide technology leadership across the Commonwealth to enhance the quality of public service and foster positive community outcomes

About the Role:

The AI Enablement Manager leads the Commonwealth’s AI Center of Enablement, setting enterprise strategy for agency engagement, capability-building, and operational support to ensure responsible and scalable AI adoption across the executive branch.

This role is responsible for designing and institutionalizing the processes, policies, and operating frameworks that help agencies move from AI experimentation to sustainable operational use.

The AI Enablement Manager establishes reusable assets, shared environments, and structured support models that empower agencies while reinforcing enterprise standards for governance, security, accessibility, and responsible AI. Operating at the intersection of strategy, change management, partnerships, and delivery enablement, this leader ensures that AI adoption across agencies is coordinated, compliant, scalable, and measurable.

The primary work location for this role is 1 Ashburton Place Boston, Massachusetts 02108. The work schedule for this position is Monday - Friday, 9:00AM - 5:00PM EST. This position is expected to follow a hybrid model of reporting to work that combines in-office workdays and work from home days as needed.

Major Responsibilities:

Set Enterprise AI Enablement Strategy

• Define and maintain the long-term vision and strategy for the AI Center of Enablement.
• Develop a scalable engagement model that supports agencies at varying levels of AI maturity.
• Establish structured intake and support triage processes to prioritize agency requests.
• Design capacity-building pathways that enable agencies to independently adopt and manage AI tools over time.
• Align enablement strategy with enterprise AI product, engineering, security, and policy objectives.

Create and Implement Enablement Policies, Processes & Governance

• Establish and formalize policies, procedures, and operational standards governing AI enablement services.
• Develop standardized engagement frameworks (discovery, pilot support, transition-to-operations).
• Define procedures for coordinating with legal, security, accessibility, and compliance stakeholders.
• Institutionalize reusable documentation templates, intake forms, governance checklists, and playbooks.
• Clarify roles and responsibilities between agencies, product teams, and engineering.

Establish and Maintain Strategic Partnerships

• Build and manage partnerships with agencies, academia, industry, and nonprofit organizations.
• Develop collaboration frameworks that leverage external expertise while protecting Commonwealth standards and data.
• Coordinate vendor-supported workshops, pilot programs, and capability-building initiatives.
• Ensure partnerships align with enterprise AI governance and procurement policies.

Oversee Reusable Assets and Shared Environments

• Guide development and maintenance of reusable artifacts, templates, and accelerators.
• Oversee shared AI environments that enable safe experimentation and structured deployment.
• Establish lifecycle management standards for reusable assets.
• Promote standardization where appropriate while preserving flexibility for agency-specific needs.
• Ensure artifacts reflect current enterprise policies, accessibility requirements, and security standards.

Drive Organizational Change & Capacity Building

• Develop change management strategies that increase AI literacy and responsible usage.
• Create structured training programs and communities of practice.
• Identify and address organizational, cultural, and technical barriers to adoption.
• Promote a community of practice across agencies to share lessons learned and best practices
• Establish metrics to measure enablement effectiveness and agency capability growth.

Measure and Communicate Impact

• Define and track enablement KPIs (e.g., time-to-deployment, reuse rates, agency self-sufficiency).
• Build reporting frameworks that communicate AI adoption progress and risk posture.
• Provide strategic recommendations to executive leadership.
• Communicate trade-offs and capacity constraints clearly to stakeholders.

Preferred Qualifications:

• Seven (7) to ten (10) plus years of experience in enterprise enablement, platform strategy, or digital transformation.
• Demonstrated experience designing and implementing scalable governance frameworks.
• Proven experience building and managing external partnerships.
• Strong understanding of organizational change management and capacity-building models.
• Public-sector or large-enterprise experience strongly preferred.

About EOTSS:

The Executive Office of Technology Services and Security (EOTSS) is the lead enterprise technology organization for the Commonwealth of Massachusetts. Charged with driving the ongoing alignment of business and technology across the Commonwealth’s Executive Branch, EOTSS oversees and manages the enterprise technology, digital infrastructure and services, as well as the Commonwealth Security Operations Center and an enterprise Standard Operating Environment that includes an information security and risk management framework for over 125 state agencies and over 43,000 state employees. We directly serve our constituents by providing digital services and tools that enable taxpayers, drivers, businesses, visitors, families and other citizens to do business with the Commonwealth in a way that makes every interaction with government easier, faster, and more secure.

Our Mission: We provide technology leadership across the Commonwealth to enhance the quality of public service and foster positive community outcomes

About the Role:

The AI Enablement Manager leads the Commonwealth’s AI Center of Enablement, setting enterprise strategy for agency engagement, capability-building, and operational support to ensure responsible and scalable AI adoption across the executive branch.

This role is responsible for designing and institutionalizing the processes, policies, and operating frameworks that help agencies move from AI experimentation to sustainable operational use.

The AI Enablement Manager establishes reusable assets, shared environments, and structured support models that empower agencies while reinforcing enterprise standards for governance, security, accessibility, and responsible AI. Operating at the intersection of strategy, change management, partnerships, and delivery enablement, this leader ensures that AI adoption across agencies is coordinated, compliant, scalable, and measurable.

The primary work location for this role is 1 Ashburton Place Boston, Massachusetts 02108. The work schedule for this position is Monday - Friday, 9:00AM - 5:00PM EST. This position is expected to follow a hybrid model of reporting to work that combines in-office workdays and work from home days as needed.

Major Responsibilities:

Set Enterprise AI Enablement Strategy

• Define and maintain the long-term vision and strategy for the AI Center of Enablement.
• Develop a scalable engagement model that supports agencies at varying levels of AI maturity.
• Establish structured intake and support triage processes to prioritize agency requests.
• Design capacity-building pathways that enable agencies to independently adopt and manage AI tools over time.
• Align enablement strategy with enterprise AI product, engineering, security, and policy objectives.

Create and Implement Enablement Policies, Processes & Governance

• Establish and formalize policies, procedures, and operational standards governing AI enablement services.
• Develop standardized engagement frameworks (discovery, pilot support, transition-to-operations).
• Define procedures for coordinating with legal, security, accessibility, and compliance stakeholders.
• Institutionalize reusable documentation templates, intake forms, governance checklists, and playbooks.
• Clarify roles and responsibilities between agencies, product teams, and engineering.

Establish and Maintain Strategic Partnerships

• Build and manage partnerships with agencies, academia, industry, and nonprofit organizations.
• Develop collaboration frameworks that leverage external expertise while protecting Commonwealth standards and data.
• Coordinate vendor-supported workshops, pilot programs, and capability-building initiatives.
• Ensure partnerships align with enterprise AI governance and procurement policies.

Oversee Reusable Assets and Shared Environments

• Guide development and maintenance of reusable artifacts, templates, and accelerators.
• Oversee shared AI environments that enable safe experimentation and structured deployment.
• Establish lifecycle management standards for reusable assets.
• Promote standardization where appropriate while preserving flexibility for agency-specific needs.
• Ensure artifacts reflect current enterprise policies, accessibility requirements, and security standards.

Drive Organizational Change & Capacity Building

• Develop change management strategies that increase AI literacy and responsible usage.
• Create structured training programs and communities of practice.
• Identify and address organizational, cultural, and technical barriers to adoption.
• Promote a community of practice across agencies to share lessons learned and best practices
• Establish metrics to measure enablement effectiveness and agency capability growth.

Measure and Communicate Impact

• Define and track enablement KPIs (e.g., time-to-deployment, reuse rates, agency self-sufficiency).
• Build reporting frameworks that communicate AI adoption progress and risk posture.