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AI/ML Strategy Manager
Grant Thornton (US). Talk to potential and current clients to ideate ways Grant Thornton can help them .
Posted 10/16/2026full-timeNewport Beach • California • United StatesMid-LevelSenior💰 $170,568 - $196,880 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in delivering AI/ML solutions, guiding technology choices, and developing client relationships. Proven ability to mentor teams, lead projects, and translate business objectives into actionable strategies.
Highest-signal resume keywords
Machine Learning DevelopmentArtificial Intelligence SolutionsClient Relationship ManagementProject Delivery LeadershipTechnical Proposal Writing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningArtificial IntelligenceApplication IntegrationData GovernancePerformance ReviewSolutioningTechnical WritingProcess ModernizationValue-First Approaches
Soft Skills
MentoringCommunicationAdaptabilityProblem-SolvingClient Engagement
Industry Keywords
Consulting IndustryAI/ML EngagementsEcosystem PartnershipGo-To-Market StrategyPipeline Discussions
About the role
Key responsibilities & impact- Talk to potential and current clients to ideate ways Grant Thornton can help them
- Develop right-sized approaches for delivering client value on AI/ML/data engagements
- Own delivery of multiple AI/ML/data projects in parallel
- Participate in pipeline discussions and hiring decisions
- Conduct performance reviews and assist with ecosystem partnership go-to-market motions
- Mentor teams and individuals
- Translate business objectives into end-to-end ML/AI, application integration, data, and governance solutions
- Define value-first approaches and implementation roadmaps
- Guide technology choices, process modernization, and people enablement
- Actively sell and solution deals
- Contribute to practice management
- Shape repeatable assets and accelerators
Requirements
What you’ll need- Bachelor's degree in Data Science, Computer Science, or related discipline
- 5+ years of hands-on developer experience in machine learning and artificial intelligence stacks
- 2+ years of experience selling, solutioning, and delivering AI/ML engagements
- Ability to lead senior client stakeholders through decisions under ambiguity
- Experience developing long-standing client relationships
- Experience leading AI/ML delivery programs
- Experience leading proposal solutioning, estimates, and technical writing for pursuits
- Experience mentoring junior or senior colleagues
- Experience guiding clients on AI/ML build-versus-buy decisions
- Flexible, adaptable, and an eager self-starter
- Fluent spoken and written English communication skills
- Prior consulting industry experience
- Ability to attend in person at least 3 days per week at a Grant Thornton office or client site
- Readiness to travel up to 60%
Benefits
Comp & perks- Flexible work location, weekly schedule, and flex time off options
- Work-life integration options
- Personalized and comprehensive benefits
- Medical, dental, and vision insurance programs
- Employee assistance program
- Discretionary annual bonus based on individual and firm performance
- Diversity, equity, and inclusion initiatives
- Reasonable accommodation for qualified applicants with disabilities