AI Strategist
Job in
Cambridge, Middlesex County, Massachusetts, 02140, USA
Listed on 2026-06-02
Listing for:
CIP Group
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Full-time
Description
About the Role
We're seeking an AI Strategist to bridge the gap between cutting-edge artificial intelligence capabilities and tangible business outcomes. In this role, you'll shape our AI roadmap, identify transformative opportunities, and guide AI initiatives from concept through successful deployment. You'll work cross-functionally to translate technical possibilities into business value while ensuring our AI systems remain ethical, trustworthy, and aligned with company objectives.
Key Responsibilities
AI Vision & Strategy Develop and implement comprehensive AI strategies that align with company goals, identifying high-impact opportunities for AI integration across the organization.
Use Case Development Define, scope, and prioritize AI projects across functions (product, finance, customer service, operations) using frameworks like ICE (Impact, Confidence, Ease) to ensure resources are directed toward maximum-value initiatives.
Technical-Business Bridging Translate complex AI/ML capabilities, including Generative AI, agentic workflows, and emerging technologies into clear, business-friendly language that enable non-technical stakeholders to make informed decisions.
Operationalization: Guide AI prototypes and pilots through the full innovation funnel, from ideation to production deployment and scaling, ensuring smooth transitions and sustained value creation.
Governance & Ethics Establish and maintain AI governance frameworks that ensure our systems are trustworthy, compliant with data privacy regulations (GDPR, CCPA, etc.), and aligned with ethical AI principles.
Performance Metrics Define KPIs and measurement frameworks to track ROI, adoption rates, and value creation of AI initiatives, providing data-driven insights to optimize ongoing and future projects.
What Success Looks Like
Within your first year, you will have established a clear AI roadmap, launched 3 high-impact AI use cases into production, and built strong collaborative relationships across business teams. You'll have created frameworks and processes that enable the organization to evaluate, develop, and deploy AI solutions efficiently and responsibly.
Requirements
Qualifications Required:
- 5 years of experience in AI/ML strategy, digital transformation, or related roles
- Demonstrated understanding of AI/ML technologies, including LLMs, generative AI, and agentic systems
- Proven track record of translating technical concepts for executive and non-technical audiences
- Experience prioritizing and managing multiple AI initiatives simultaneously
- Strong understanding of data privacy regulations and AI ethics frameworks
- Excellent stakeholder management and communication skills
- Experience with AI governance and responsible AI practices
- Background in Insurance, Finance, Business Consulting
- Technical degree or certifications in AI/ML, data science, or related fields
- Familiarity with cloud AI platforms (Azure AI, AWS, GCP)
- Experience with change management and organizational adoption strategies
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