AI Strategy Manager Jobs in Massachusetts
AI Strategy Manager jobs in Massachusetts are among the most active in the country, concentrated in technology, financial services, life sciences, and management consulting, with openings ranging from early-career AI analysts stepping into strategy to senior directors shaping enterprise-wide AI roadmaps. The densest hiring is in Boston, Cambridge, and Waltham, where employers such as Fidelity Investments, Raytheon Technologies, and Massachusetts General Hospital have built substantial AI and digital strategy teams. The most in-demand specialties include AI governance, large-language-model deployment strategy, and healthcare AI transformation. Find a role that fits below and apply directly.
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Program Manager - AI Transformation & Workforce Strategy
Role intent: Be the transformation engine that helps Schneider Electric anticipate, adopt and scale agentic AI across software product engineering work, skills, teams, economics and operating models.
About Schneider Electric and the transformation
Schneider Electric is accelerating the transformation of Energy Management through software, services, digital capabilities and AI-powered innovation. Within Energy Management, the Software & Services Division brings together a large global software product engineering population and plays a central role in shaping the next generation of connected, intelligent and software-defined offers.
Generative AI and agentic AI are now reshaping how software is designed, developed, tested, secured, operated and continuously improved. The opportunity is broader than individual productivity: it requires rethinking software product engineering workflows, team composition, skills, career paths, governance, economics and value realization.
To address this strategic shift, Schneider Electric is launching a transversal program hosted in the Software & Services Division, with a mandate to understand and anticipate the impact of agentic AI on software product engineering jobs and ways of working across Energy Management. The program will be supported by BCG and sponsored by the Software & Services CTO leadership.
The opportunity
We are seeking a strategic and execution-oriented transformation leader to establish and drive Schneider Electric's AI Transformation and Workforce Strategy agenda for software product engineering.
This role will act as the central orchestrator of a multi-year transformation across technology, people, operating model and value realization. The successful candidate will work closely with CTOs, engineering leaders, product leaders, HR, Schneider Digital, Finance and external partners (consultants) to move the organization from AI-assisted development toward AI-enabled and agentic software product delivery.
The role requires the ability to connect technology strategy with workforce transformation: understanding how software product engineering work changes, how teams evolve, which capabilities need to be built, what value is created, and how adoption can be scaled sustainably across a diverse global software product engineering population.
Key responsibilities
1. Define the future of AI-powered software product development lifecycle at Schneider Electric (inputs from EM CTO, S&S CTO, Strategy teams)
- Contribute to develop and operationalize the vision, ambition and roadmap for AI-powered software product engineering across Energy Management.
- Assess how Generative AI and agentic AI will reshape software product engineering work, team structures, governance, decision rights and workforce requirements.
- Translate external technology trends and benchmarks into pragmatic transformation choices for Schneider Electric.
- Support executive recommendations on future software product engineering operating models, including maturity stages from AI-assisted development to agentic and autonomous delivery models.
2. Orchestrate the workforce transformation
- Map the baseline of software product engineering roles, skills, capabilities, personas and team structures.
- Identify roles and activities that will be augmented, recombined, created or significantly redesigned as AI adoption matures.
- Partner with leaders and HR to build workforce scenarios, talent implications and capability development plans.
- Define upskilling and reskilling pathways for software product engineers, architects, technical leads, engineering managers and product roles, while leveraging the internal resources (Schneider Digital, Digital Academy)
- Anticipate impacts on career paths, recruiting needs, talent segmentation and future workforce planning.
- Identify & empower AI champions in current teams to become trainers of next enablement waves
3. Accelerate AI adoption across software product engineering teams
- Design and execute adoption programs that move beyond tool access and training to sustained changes in software product engineering behaviors and workflows.
- Lead pilot teams, adoption sprints and scaling approaches, including squad-by-squad activation where relevant.
- Create repeatable playbooks for AI adoption, maturity progression, leadership activation and local change networks.
- Build a clear change narrative by persona, including “what is in it for me” for software engineers, product managers, software product engineering leaders and HR stakeholders, leveraging company/EM position papers and narrative.
- Ensure adoption efforts measure depth and breadth of usage, not only license activation or superficial tool engagement.
4. Drive value realization and transformation economics
- Define and operate a robust measurement framework covering adoption, productivity, quality, developer experience, workforce impact, cost and business value.
- Track AI consumption economics, including token usage, tool spend, productivity benefits and return on investment.
- Build executive dashboards and governance routines to steer decisions, funding allocation and scaling priorities.
- Translate pilot outcomes into value cases, investment recommendations and scale-up roadmaps.
- Ensure productivity improvement is balanced with software quality, security, reliability, developer experience and ethical AI guardrails.
5. Shape the future software product engineering operating model
- Assess how team composition, squad structures and software product engineering practices evolve as AI agents absorb more execution work.
- Define future collaboration models between software engineers, product managers, architects, testers, AI agents and platform/tooling teams.
- Support the design of human-in-the-loop and human-over-the-loop models, including escalation, review and accountability principles.
- Partner with software product engineering leadership to ensure the transformation improves speed, simplicity, predictability and strategic value creation.
6. Lead transformation governance and partner orchestration
- Establish and operate the transformation office, governance model, steering committee cadence and reporting drumbeat.
- Coordinate workstreams across Software Engineering, Product, HR, Finance, Schneider Digital, AI platform teams and external partners.
- Manage the day-to-day interaction with BCG and ensure consulting support translates into Schneider Electric-owned capabilities and outcomes.
- Prepare executive decision materials, strategic recommendations, progress reviews and communication packages for senior leadership.
- Act as trusted advisor to the CTO leading the transversal effort and to the executive sponsor.
Success after 12 months
Measurement & value
- A baseline assessment of roles, skills, teams, adoption maturity and tool usage is completed for the target software product engineering population, alongside a quantified & syndicated targets
- Executive dashboards are in place to track adoption depth, productivity, quality, sentiment, value realization and AI consumption economics.
- Productivity has increased for enabled waves (>20pp of productivity increase)
Enablement & adoption
- A clear AI Product teams transformation roadmap is approved and launched across Energy Management:
- Pilot adoption sprints are a success and translated into scaling playbooks with measurable impact
- 3+ enablement waves (~300 person per waves) are done, reaching maturity targets (>60% level 3)
- Internal trainers have taken over external support
Governance & operating model
- North Star tooling stack confirmed, approval process live, provisioning done.
- Concrete workforce recommendations are delivered, including reshaped roles, critical skill gaps and capability-building priorities.
- A sustainable governance model is operating, with clear decision rights, investment priorities and scaling criteria.
Qualifications and experience
Required
- 10+ years of experience in technology transformation, software engineering, management consulting, digital transformation, strategy, product/engineering operations or related fields.
- Proven track record leading complex, cross-functional transformation programs in a global environment.
- Strong understanding of software product engineering organizations, SDLC, Agile/DevOps practices, developer productivity and software product engineering operating models.
- Ability to engage credibly with CTOs, senior engineering leaders, product leaders, HR leaders and external partners.
- Excellent analytical, problem-solving, synthesis and executive communication skills.
- Demonstrated ability to translate strategic ambition into practical roadmaps, governance, metrics and measurable outcomes.
Preferred
- Experience in a leading strategy consulting firm, technology company, software business, platform organization or CTO office.
- Exposure to Generative AI, agentic AI, developer tools, AI-enabled SDLC, developer experience or engineering productivity initiatives.
- Experience with workforce transformation, organization design, capability building, change management or future-of-work programs.
- Experience building business cases and value measurement frameworks for technology-enabled transformations.
Leadership profile
- Strong systems thinker able to connect technology, organization, economics and workforce implications.
- Credible with both technical and business audiences, from software engineers to executive committees.
- Highly structured, analytical and outcome-driven, with strong program execution discipline.
- Comfortable operating in ambiguity, rapid technological change and decentralized environments.
- Able to influence without direct authority and mobilize senior stakeholders around a shared transformation agenda.
- Passionate about shaping the future of software product engineering work in the age of AI.
Why this role matters
(External) English Qualifications:
- High-visibility role where your work shapes business strategy and customer outcomes
- Collaborative, innovative culture that values diverse perspectives and bold ideas
- Professional development opportunities including leadership training and mentorship
- Flexible work options designed to help you thrive both professionally and personally
At Schneider, we believe that every employee is a talent who deserves equal opportunities. This means you matter. Every individual needs to feel valued, supported, and treated fairly to do their best work.
Our Total Rewards is our way of saying: “We see you. We value you”. It’s more than just pay and benefits- it’s a meaningful investment in you. It is designed for you to perform, grow, feel safe, and elevate your potential to shine as an impact maker.
For this U.S. based position, the expected pay range is USD 168,800 - USD 253,200 per year. This pay range includes base pay and short-term incentives. The compensation range for this full-time position applies to candidates located within the United States. Our pay ranges are determined by reviewing roles of similar responsibility and level. Within the pay range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training.
Schneider Electric is there when it matters most to you
Our Total Rewards package outlines all the benefits and support you’ll enjoy as part of the Schneider Electric team:
Care for Yourself and Your Family. We ensure you feel secure with benefits that help you and your family thrive: medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits), flexible work arrangements, paid family leaves, well-being programs, 12 holidays per year, 20 days of paid time off per year (pro-rated in the first year of employment based on start date).
Invest and Plan Your Future. We help you plan and invest for the future with competitive pay and programs: your base salary, short-term incentives or sales incentives, opportunities to own company shares (eligibility depends on start date), and 401(k) + match.
Grow Your Skills and Career. We commit to helping you grow with ongoing performance and development conversations, Senior Talent Program, global career opportunities, access to our Schneider Career Hub for new positions, projects, and mentors, and learning platforms like Coursera to equip you with the skills for today and tomorrow.
Team Up in the Workplace. We encourage teaming up through project opportunities on the Schneider Career Hub, smart ways to collaborate, celebrating contributions via a recognition program (including service anniversary), sharing your voice in our engagement survey, and fostering an inclusive, caring workplace.
Support Your Community. We make a difference in your community with volunteer leave, programs through the Schneider Electric Foundation, initiatives that support youth education, and military leave benefits.
If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S., please notify the Company as soon as possible upon discovery by completing this form Job Posting Compliance Form.
(External) English Company Boiler Plate:
Looking to make an IMPACT with your career?
When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric – apply today!
€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Program Manager - AI Transformation & Workforce Strategy
Role intent: Be the transformation engine that helps Schneider Electric anticipate, adopt and scale agentic AI across software product engineering work, skills, teams, economics and operating models.
About Schneider Electric and the transformation
Schneider Electric is accelerating the transformation of Energy Management through software, services, digital capabilities and AI-powered innovation. Within Energy Management, the Software & Services Division brings together a large global software product engineering population and plays a central role in shaping the next generation of connected, intelligent and software-defined offers.
Generative AI and agentic AI are now reshaping how software is designed, developed, tested, secured, operated and continuously improved. The opportunity is broader than individual productivity: it requires rethinking software product engineering workflows, team composition, skills, career paths, governance, economics and value realization.
To address this strategic shift, Schneider Electric is launching a transversal program hosted in the Software & Services Division, with a mandate to understand and anticipate the impact of agentic AI on software product engineering jobs and ways of working across Energy Management. The program will be supported by BCG and sponsored by the Software & Services CTO leadership.
The opportunity
We are seeking a strategic and execution-oriented transformation leader to establish and drive Schneider Electric's AI Transformation and Workforce Strategy agenda for software product engineering.
This role will act as the central orchestrator of a multi-year transformation across technology, people, operating model and value realization. The successful candidate will work closely with CTOs, engineering leaders, product leaders, HR, Schneider Digital, Finance and external partners (consultants) to move the organization from AI-assisted development toward AI-enabled and agentic software product delivery.
The role requires the ability to connect technology strategy with workforce transformation: understanding how software product engineering work changes, how teams evolve, which capabilities need to be built, what value is created, and how adoption can be scaled sustainably across a diverse global software product engineering population.
Key responsibilities
1. Define the future of AI-powered software product development lifecycle at Schneider Electric (inputs from EM CTO, S&S CTO, Strategy teams)
- Contribute to develop and operationalize the vision, ambition and roadmap for AI-powered software product engineering across Energy Management.
- Assess how Generative AI and agentic AI will reshape software product engineering work, team structures, governance, decision rights and workforce requirements.
- Translate external technology trends and benchmarks into pragmatic transformation choices for Schneider Electric.
- Support executive recommendations on future software product engineering operating models, including maturity stages from AI-assisted development to agentic and autonomous delivery models.
2. Orchestrate the workforce transformation
- Map the baseline of software product engineering roles, skills, capabilities, personas and team structures.
- Identify roles and activities that will be augmented, recombined, created or significantly redesigned as AI adoption matures.
- Partner with leaders and HR to build workforce scenarios, talent implications and capability development plans.
- Define upskilling and reskilling pathways for software product engineers, architects, technical leads, engineering managers and product roles, while leveraging the internal resources (Schneider Digital, Digital Academy)
- Anticipate impacts on career paths, recruiting needs, talent segmentation and future workforce planning.
- Identify & empower AI champions in current teams to become trainers of next enablement waves
3. Accelerate AI adoption across software product engineering teams
- Design and execute adoption programs that move beyond tool access and training to sustained changes in software product engineering behaviors and workflows.
- Lead pilot teams, adoption sprints and scaling approaches, including squad-by-squad activation where relevant.
- Create repeatable playbooks for AI adoption, maturity progression, leadership activation and local change networks.
- Build a clear change narrative by persona, including “what is in it for me” for software engineers, product managers, software product engineering leaders and HR stakeholders, leveraging company/EM position papers and narrative.
- Ensure adoption efforts measure depth and breadth of usage, not only license activation or superficial tool engagement.
4. Drive value realization and transformation economics
- Define and operate a robust measurement framework covering adoption, productivity, quality, developer experience, workforce impact, cost and business value.
- Track AI consumption economics, including token usage, tool spend, productivity benefits and return on investment.
- Build executive dashboards and governance routines to steer decisions, funding allocation and scaling priorities.
- Translate pilot outcomes into value cases, investment recommendations and scale-up roadmaps.
- Ensure productivity improvement is balanced with software quality, security, reliability, developer experience and ethical AI guardrails.
5. Shape the future software product engineering operating model
- Assess how team composition, squad structures and software product engineering practices evolve as AI agents absorb more execution work.
- Define future collaboration models between software engineers, product managers, architects, testers, AI agents and platform/tooling teams.
- Support the design of human-in-the-loop and human-over-the-loop models, including escalation, review and accountability principles.
- Partner with software product engineering leadership to ensure the transformation improves speed, simplicity, predictability and strategic value creation.
6. Lead transformation governance and partner orchestration
- Establish and operate the transformation office, governance model, steering committee cadence and reporting drumbeat.
- Coordinate workstreams across Software Engineering, Product, HR, Finance, Schneider Digital, AI platform teams and external partners.
- Manage the day-to-day interaction with BCG and ensure consulting support translates into Schneider Electric-owned capabilities and outcomes.
- Prepare executive decision materials, strategic recommendations, progress reviews and communication packages for senior leadership.
- Act as trusted advisor to the CTO leading the transversal effort and to the executive sponsor.
Success after 12 months
Measurement & value
- A baseline assessment of roles, skills, teams, adoption maturity and tool usage is completed for the target software product engineering population, alongside a quantified & syndicated targets
- Executive dashboards are in place to track adoption depth, productivity, quality, sentiment, value realization and AI consumption economics.
- Productivity has increased for enabled waves (>20pp of productivity increase)
Enablement & adoption
- A clear AI Product teams transformation roadmap is approved and launched across Energy Management:
- Pilot adoption sprints are a success and translated into scaling playbooks with measurable impact
- 3+ enablement waves (~300 person per waves) are done, reaching maturity targets (>60% level 3)
- Internal trainers have taken over external support
Governance & operating model
- North Star tooling stack confirmed, approval process live, provisioning done.
- Concrete workforce recommendations are delivered, including reshaped roles, critical skill gaps and capability-building priorities.
- A sustainable governance model is operating, with clear decision rights, investment priorities and scaling criteria.
Qualifications and experience
Required
- 10+ years of experience in technology transformation, software engineering, management consulting, digital transformation, strategy, product/engineering operations or related fields.
- Proven track record leading complex, cross-functional transformation programs in a global environment.
- Strong understanding of software product engineering organizations, SDLC, Agile/DevOps practices, developer productivity and software product engineering operating models.
- Ability to engage credibly with CTOs, senior engineering leaders, product leaders, HR leaders and external partners.
- Excellent analytical, problem-solving, synthesis and executive communication skills.
- Demonstrated ability to translate strategic ambition into practical roadmaps, governance, metrics and measurable outcomes.
Preferred
- Experience in a leading strategy consulting firm, technology company, software business, platform organization or CTO office.
- Exposure to Generative AI, agentic AI, developer tools, AI-enabled SDLC, developer experience or engineering productivity initiatives.
- Experience with workforce transformation, organization design, capability building, change management or future-of-work programs.
- Experience building business cases and value measurement frameworks for technology-enabled transformations.
Leadership profile
- Strong systems thinker able to connect technology, organization, economics and workforce implications.
- Credible with both technical and business audiences, from software engineers to executive committees.
- Highly structured, analytical and outcome-driven, with strong program execution discipline.
- Comfortable operating in ambiguity, rapid technological change and decentralized environments.
- Able to influence without direct authority and mobilize senior stakeholders around a shared transformation agenda.
- Passionate about shaping the future of software product engineering work in the age of AI.
Why this role matters
(External) English Qualifications:
- High-visibility role where your work shapes business strategy and customer outcomes
- Collaborative, innovative culture that values diverse perspectives and bold ideas
- Professional development opportunities including leadership training and mentorship
- Flexible work options designed to help you thrive both professionally and personally
At Schneider, we believe that every employee is a talent who deserves equal opportunities. This means you matter. Every individual needs to feel valued, supported, and treated fairly to do their best work.
Our Total Rewards is our way of saying: “We see you. We value you”. It’s more than just pay and benefits- it’s a meaningful investment in you. It is designed for you to perform, grow, feel safe, and elevate your potential to shine as an impact maker.
For this U.S. based position, the expected pay range is USD 168,800 - USD 253,200 per year. This pay range includes base pay and short-term incentives. The compensation range for this full-time position applies to candidates located within the United States. Our pay ranges are determined by reviewing roles of similar responsibility and level. Within the pay range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training.
Schneider Electric is there when it matters most to you
Our Total Rewards package outlines all the benefits and support you’ll enjoy as part of the Schneider Electric team:
Care for Yourself and Your Family. We ensure you feel secure with benefits that help you and your family thrive: medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits), flexible work arrangements, paid family leaves, well-being programs, 12 holidays per year, 20 days of paid time off per year (pro-rated in the first year of employment based on start date).
Invest and Plan Your Future. We help you plan and invest for the future with competitive pay and programs: your base salary, short-term incentives or sales incentives, opportunities to own company shares (eligibility depends on start date), and 401(k) + match.
Grow Your Skills and Career. We commit to helping you grow with ongoing performance and development conversations, Senior Talent Program, global career opportunities, access to our Schneider Career Hub for new positions, projects, and mentors, and learning platforms like Coursera to equip you with the skills for today and tomorrow.
Team Up in the Workplace. We encourage teaming up through project opportunities on the Schneider Career Hub, smart ways to collaborate, celebrating contributions via a recognition program (including service anniversary), sharing your voice in our engagement survey, and fostering an inclusive, caring workplace.
Support Your Community. We make a difference in your community with volunteer leave, programs through the Schneider Electric Foundation, initiatives that support youth education, and military leave benefits.
If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S., please notify the Company as soon as possible upon discovery by completing this form Job Posting Compliance Form.
(External) English Company Boiler Plate:
Looking to make an IMPACT with your career?
When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric – apply today!
€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
See All 20 AI Strategy Manager Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Strategy Manager JobsAI Strategy Manager Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Strategy Manager Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Law & Legal Services
- Technology & Software
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in AI strategy manager jobs across Massachusetts.
- Bachelor's or master's degree in computer science, data science, or business administration
- Five or more years of experience in AI, data strategy, or technology consulting roles
- Demonstrated ability to translate AI capabilities into enterprise business value and roadmaps
- Proficiency with machine learning frameworks and familiarity with cloud platforms such as AWS or Azure
- Experience leading cross-functional teams and communicating AI strategy to executive stakeholders
- Knowledge of AI ethics, governance frameworks, and responsible AI deployment practices
AI Strategy Manager Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai strategy manager in Massachusetts?
Most ai strategy managers in Massachusetts come through a path combining a bachelor's degree in computer science, data science, or business with hands-on AI or analytics experience, often followed by an MBA or a graduate degree in applied AI. Massachusetts has no state-issued license for this role, so employers weigh credentials like the Google Professional Machine Learning Engineer certificate or a Certified AI Practitioner designation alongside a portfolio of measurable strategy projects.
Which companies hire ai strategy managers in Massachusetts?
Employers hiring ai strategy managers in Massachusetts right now include Amazon, Accenture, and Plymouth Rock Assurance, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of global consulting firms, major financial institutions, and research-driven healthcare systems means demand is spread across several distinct industry clusters rather than one dominant sector.
Which Massachusetts cities have the most ai strategy manager jobs?
Boston, Waltham, and Cambridge have the most ai strategy manager openings in Massachusetts. Boston and Cambridge drive the majority of postings through their dense cluster of tech firms, asset managers, and teaching hospitals, while Waltham and Burlington attract demand from the Route 128 corridor's established technology and defense companies that are actively building AI strategy functions.
Are there remote ai strategy manager jobs in Massachusetts?
Yes, and more than most fields. About 67% of ai strategy manager openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting the desk-based and advisory nature of the work. Strategy, roadmapping, and stakeholder alignment tasks travel well remotely, though roles that require on-site collaboration with engineering teams at Boston or Cambridge employers tend to require at least a hybrid schedule.
How can I get hired as a ai strategy manager in Massachusetts with little or no experience?
The most realistic entry path is through an AI analyst or digital strategy associate role at a Massachusetts consulting firm, financial institution, or health system, then building toward a manager title. Firms like Liberty Mutual, State Street, and Mass General Brigham run rotational technology or innovation programs that place early-career candidates on AI projects. A portfolio of completed AI pilots, an applied master's degree from a Massachusetts university, or a recognized AI certification strengthens a candidate's profile significantly.
Where can I find and apply to ai strategy manager jobs in Massachusetts?
You can find and apply to ai strategy manager jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across industries and experience levels. Find the roles that fit your background and apply directly to each one.
See All 20 AI Strategy Manager Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Strategy Manager Jobs