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Environmental Management Authority

AI Strategist

Environmental Management Authority

AI Strategist leading strategic enterprise accounts for Ema's AI platform, driving transformative AI adoption across major enterprises.

Posted 7/7/2026full-timeRemote • 🇬🇧 United KingdomSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI strategy development and execution for enterprise accounts, with a strong focus on consulting-led transformation and stakeholder engagement. Proven ability to advise C-suite clients and design actionable business cases that align AI solutions with organizational objectives.

Highest-signal resume keywords
AI Strategy DevelopmentConsulting-Led Enterprise TransformationC-Suite AdvisoryBusiness Case DesignCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML ApplicationsEnterprise SaaS FamiliarityROI AssessmentSolution Narrative DevelopmentEngagement Management
Soft Skills
StorytellingStructured Problem-SolvingPresentation Skills
Industry Keywords
Enterprise StrategyHigh-Value AccountsExecutive RelationshipsTransformation RoadmapsCommercial Approaches

About the role

Key responsibilities & impact
  • Own and drive AI strategy for high-value enterprise accounts
  • Partner with executive sponsors, customer success, solution engineering, and product to deliver winning AI solutions.
  • Act as the strategic advisor to client leadership, helping define AI transformation roadmaps and business cases.
  • Work closely with the CEO, CRO, and broader leadership team to influence deal strategy and positioning on the most strategic opportunities globally
  • Bring consulting-grade thinking to structure engagements, solution narratives, and commercial approaches.
  • Serve as a trusted advisor to senior stakeholders (CIO, CDO, CDO, CXO) on AI-driven business transformation.
  • Collaborate with product, engineering, GTM, and delivery teams to align AI solutions with customer objectives.

Requirements

What you’ll need
  • 7–12 years+ overall, including time as a Senior Engagement Manager / Project Leader at McKinsey, BCG, Bain, or similar.
  • Strong experience in consulting-led enterprise strategy and transformation engagements.
  • Familiarity with enterprise SaaS or AI/technology sales cycles is essential.
  • Deep understanding of AI/ML applications in enterprise workflows (LLMs a plus).
  • Proven track record advising C-suite clients and managing executive relationships.
  • Ability to design business cases, assess ROI, and translate strategy into actionable execution.
  • Exceptional storytelling, structured problem-solving, and presentation skills.
  • Experience working with cross-functional leadership teams in high-velocity environments.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Flexible work arrangements
  • Professional development