AI Enablement Manager

Commonwealth of Massachusetts•Boston, MA

8h•Hybrid

About The Position

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. The role designs and institutionalizes processes, policies, and operating frameworks that help agencies move from AI experimentation to sustainable operational use. The manager establishes reusable assets, shared environments, and structured support models that empower agencies while reinforcing enterprise standards for governance, security, accessibility, and responsible AI. Working across strategy, change management, partnerships, and delivery enablement, this leader ensures AI adoption is coordinated, compliant, scalable, and measurable. The primary work location is 1 Ashburton Place, Boston, Massachusetts 02108. The schedule is Monday through Friday, 9:00 AM–5:00 PM EST, under a hybrid model combining in-office workdays and work-from-home days as needed.

Requirements

At least six years of full-time or equivalent part-time professional, administrative, supervisory, or managerial experience in business administration, business management, public administration, public management, clinical administration, or clinical management; at least two years must have been in a project management, supervisory, or managerial capacity, or an equivalent combination of experience and substitutions.
A certificate in a relevant or related field may substitute for one year of the required experience.
A bachelor’s degree in a related field may substitute for two years of the required experience.
A graduate degree in a related field may substitute for three years of the required experience.
A doctorate degree in a related field may substitute for four years of the required experience.

Nice To Haves

Seven to ten or more 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.

Responsibilities

Define and maintain the long-term vision and strategy for the AI Center of Enablement.
Develop a scalable engagement model for 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.
Establish policies, procedures, and operational standards governing AI enablement services.
Develop standardized engagement frameworks for discovery, pilot support, and 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.
Build and manage partnerships with agencies, academia, industry, and nonprofit organizations.
Develop collaboration frameworks that use 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.
Guide development and maintenance of reusable artifacts, templates, and accelerators.
Oversee shared AI environments for 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.
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 an agency-wide community of practice to share lessons learned and best practices.
Establish metrics to measure enablement effectiveness and agency capability growth.
Define and track enablement KPIs, such as time-to-deployment, reuse rates, and agency self-sufficiency.
Build reporting frameworks to communicate AI adoption progress and risk posture.
Provide strategic recommendations to executive leadership.
Communicate trade-offs and capacity constraints clearly to stakeholders.