Enterprise AI Product Manager

Commonwealth of Massachusetts•Boston, MA

4d•Hybrid

About The Position

The Enterprise AI Product Manager owns and advances the Commonwealth’s AI Assistant product ecosystem, including agents, integrations, and configurable AI solutions deployed across secretariats and agencies. The role defines and executes platform product strategy, identifies high-impact use cases, prioritizes a cross-agency roadmap, scales adoption, and ensures measurable public value. The Product Manager guides the evolution of the Commonwealth’s AI Assistant capabilities as technology and the platform evolve, translating new capabilities into practical applications for state government. The role also manages platform changes, migrations, and retirement of existing functionality. It combines product management, governance, analytics, and change management, balancing experimentation with enterprise standards and translating emerging AI capabilities into measurable operational impact. The position is based at 1 Ashburton Place, Boston, Massachusetts 02108, and follows a hybrid work model combining in-office and work-from-home days as needed. The stated schedule is Monday through Friday, 9:00 a.m. to 5:00 p.m. EST. The Commonwealth of Massachusetts’ Executive Office of Technology Services and Security (EOTSS) leads enterprise technology and security for the Commonwealth’s Executive Branch. EOTSS oversees enterprise technology, digital infrastructure and services, the Commonwealth Security Operations Center, and an enterprise Standard Operating Environment with an information security and risk management framework serving more than 125 state agencies and more than 43,000 state employees. Its mission is to provide technology leadership across the Commonwealth to enhance public service and foster positive community outcomes.

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 be in a project management, supervisory, or managerial capacity, subject to the stated substitutions or equivalent combination of experience and substitutions.
Strong product leadership experience and ability to navigate complex stakeholder environments.
Ability to balance experimentation with enterprise standards and translate emerging AI capabilities into measurable operational impact.
Eight to ten or more years of experience leading digital, platform, or enterprise product initiatives in complex organizations is listed as a preferred qualification.
Demonstrated experience prioritizing and scaling products across multiple business units or agencies.
Proven ability to create and implement structured product management processes and governance frameworks.
Strong track record defining metrics, measuring outcomes, and communicating value to executive stakeholders.
Experience balancing experimentation and innovation with enterprise risk management.
Exceptional stakeholder management skills and ability to lead through influence.
Strong analytical and decision-making skills under conditions of ambiguity.
Excellent written and verbal communication skills, including executive-level reporting.

Nice To Haves

Public sector experience is strongly preferred.
Experience working with AI-enabled products, data-driven platforms, or emerging technologies.
Eight to ten or more years of experience leading digital, platform, or enterprise product initiatives in complex organizations.

Responsibilities

Define and maintain the long-term vision, strategy, and roadmap for the AI Assistant ecosystem.
Translate evolving capabilities, including agents, integrations, workflows, and other emerging features, into practical applications for state government.
Identify and evaluate high-impact use cases across secretariats and agencies.
Set standards and patterns for deciding whether needs are addressed through shared enterprise capabilities, reusable solutions, or agency-specific configurations.
Plan and manage platform changes and feature deprecations to minimize disruption and preserve continuity for users and agency solutions.
Align product priorities with Executive Branch strategic objectives and policy direction, and refine the roadmap based on user needs, stakeholder feedback, and evolving AI capabilities.
Manage a structured process for agencies to propose new AI use cases and solutions.
Evaluate opportunities based on user need, potential impact, feasibility, reuse potential, risk, accessibility, and implementation effort.
Facilitate cross-secretariat decisions on sequencing, resource allocation, and trade-offs.
Design and implement scalable product management processes for use-case intake and review, risk and compliance review coordination, pilots and experimentation, deployment and adoption, and performance monitoring and reporting.
Establish procedures for responsible AI implementation in coordination with legal, security, accessibility, and policy stakeholders.
Institutionalize repeatable processes for structured, compliant, and measurable agency adoption of AI tools.
Develop guidance and operating models for agency-level AI product ownership and stewardship.
Build executive-ready reporting frameworks that communicate product performance, impact, and risk posture; synthesize data and insights into narratives for senior leadership.
Recommend whether AI use cases should be scaled, sunset, or refined, and communicate trade-offs and strategic decisions under ambiguity.
Partner with the Engineering Lead on technical feasibility, architecture, and security; with Enablement and Training Leads on adoption and change management; and with vendors and external partners on platform capabilities and roadmap alignment.
Coordinate with secretariats and agency leadership to align priorities and outcomes, and serve as the central point of ownership for enterprise AI product decisions.
Maintain detailed knowledge of the platform provider’s capabilities, limitations, roadmap, release cycle, and deprecation plans; assess implications for the Commonwealth and represent Commonwealth product needs and priorities in vendor engagements.