AI Strategist_Boston

AI Strategist

AI Future Focus

About Maine Pointe

Maine Pointe, an SGS company, is a global supply chain and operations consulting firm trusted by private equity firms and complex enterprises to deliver measurable, sustainable results. Our Total Value Optimization™ (TVO) methodology transforms how organizations plan, source, produce, and deliver. We embed with client teams, operate at the intersection of strategy and execution, and leave behind capability that endures.

The Role

We are looking for a high‑potential AI Strategist to drive AI Enablement at Maine Pointe; identify, design, and scale AI‑driven initiatives that improve organizational efficiency, decision‑making, and operational impact. This role sits at the intersection of AI, business strategy, and transformation, working closely with leadership and cross‑functional teams.

AI Strategy, Business Impact & Opportunity Identification

(Focus: Thinking like a business‑first AI strategist)

• Assess the ability to connect AI initiatives to measurable business value
• Identify high‑impact AI and automation opportunities across business functions
• Translate business problems into AI‑enabled use cases, solutions, and roadmaps
• Demonstrate conceptual understanding of AI, ML, and GenAI capabilities and limitations
• Conduct AI integration and workflow audits to uncover efficiency, automation, and cost‑saving opportunities
• Perform market, competitor, and trend analysis to stay current with the evolving AI ecosystem (LLMs, agentic AI, automation platforms)

AI Enablement, Analytics & Execution Support

(Focus: Bridging strategy with technical execution—without heavy coding)

• Partner with cross‑functional teams to guide AI implementation and experimentation
• Support prototyping of AI or agentic workflows (e.g., LLM‑based agents using LangChain or MCP concepts)
• Develop and track metrics for ROI, productivity gains, model performance, and operational risk
• Understand and evaluate ML models, AI tools, automation platforms, and AI‑assisted development workflows
• Translate technical outputs (e.g., model accuracy, F1 scores, system performance) into clear business or operational insights
• Build foundational AI and analytical literacy internally through documentation, learning sessions, and use‑case storytelling

Stakeholder Communication, Governance & Change Management

(Focus: Adoption, trust, and responsible AI use)

• Communicate AI outcomes, limitations, and trade‑offs effectively to non‑technical stakeholders
• Educate teams to enable practical AI adoption and behavioral change
• Promote ethical, secure, and privacy‑aware AI usage, especially across sensitive datasets
• Support AI governance efforts by advising on ethical implications, data security, bias, and compliance considerations
• Act as a change catalyst, helping teams transition from traditional workflows to AI‑augmented processes

QualificationsEducation

We don’t necessarily need “AI Strategist” degrees. Some preferred qualifications are indicated or you could be from adjacent disciplines with proven strong AI literacy and systems thinking.

• Data Science / Artificial Intelligence (BSc / BA in Data Science, BSc in Artificial Intelligence, MSc in AI)
• Computer Science / Software Engineering, especially strong when combined with AI projects (LLMs, ML, automation) or consulting or business exposure

High‑Signal Certifications & Learning Paths (Optional but Powerful). These often substitute for years of experience: AI Strategy / AI for Business certificates, Cloud AI foundations (Azure AI, AWS AI, GCP Vertex), Responsible / Ethical AI certifications.

Experience

A \"self‑starter\" mentality with a track record of managing independent projects or startups is a huge plus. 0–3 years of experience with analytics‑heavy coursework (inclusive of high‑impact internships or technical projects). Core ML concepts, ML/AI certifications, Hands‑on AI tooling, Automation & scalability understanding is preferred.

Who You Are

• As a keen futuristic learner—, you understand Systems thinking and have a Data‑first mindset.
• Results‑driven—you measure your work by what changes, not what you present.
• A clear communicator—who translates technical findings for non‑technical audiences with confidence.
• Intellectually curious—you ask the right questions, explore root causes, and learn fast.
• Collaborative and coachable—you work well across diverse teams and welcome feedback.
• Commercially aware—you see where value can expand and help deepen client relationships.
• Resilient—under pressure across demanding, high impact assignments.

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