AI Strategy Manager 2026- US,UK
About The Position
Aimpoint Digital is a premier AI & Data consulting firm with a mission to drive business value for clients through expertise in AI, data strategy and analytics. We partner with organizations to solve complex business problems through innovative, scalable solutions. This role sits within our Strategy practice and is focused on helping clients identify, prioritize, and operationalize AI opportunities at scale. As an AI Strategist, you will act as a trusted advisor to clients—partnering with business and technology leaders to shape and execute their AI transformation agendas. You will help clients determine where AI should (and should not) be applied, and define the strategic, operational, and economic rationale for AI investments. You will lead engagements focused on AI opportunity assessment, AI strategy development, governance design, AI solution definition and business case development. In this role, you will assess current-state AI maturity, identify high-value use cases, re-imagine business processes and translate business needs into actionable AI strategies and roadmaps. You will work closely with cross-functional teams to ensure strategies are practical, scalable, and aligned to measurable business value. You will not only own the delivery of client engagements end-to-end, but also be expected to drive the development of our go-to-market AI strategy offerings, support business development, shape proposals, and develop reusable methodologies and frameworks. You will also be responsible for mentoring team members and driving the growth of the Strategy practice.
Requirements
- Bachelor's degree required; Master’s in Business or related field preferred
- 3- 5 years of recent consulting, advisory, or other client facing strategy roles leading AI, Analytics, or digital transformation projects
- Demonstrated experience working with modern data platforms and AI tools, such as: Anthropic’s Claude Suite, OpenAI’s ChatGpt or similar LLMs to support analysis, prototyping, and solution delivery
- Experience working with or evaluating AI capabilities within enterprise platforms like Snowflake or Databricks with a functional understanding of AWS, Azure, GCP
- Strong experience in business case development, including value quantification for AI initiatives
- Experience conducting business process mapping and translating processes into AI enabled solutions
- Strong understanding of AI and GenAI capabilities, limitations, and enterprise implications and business applications
- Experience designing/advising on AI governance and risk frameworks
- Strong communications skills with experience presenting to C-suite & executive stakeholders
Nice To Haves
- Working knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), RPA, and MLOps practices is a plus
- Experience evaluating and selecting AI tools, vendors, or platforms in enterprise environments
- Familiarity with agentic AI concepts, workflow automation, or AI-assisted decision systems
- Experience conducting AI readiness or maturity assessments across data, platform, and organizational dimensions
- Hands-on experimentation with AI tools, including prompt design, tool use, or workflow automation
- Certifications such as Certified Data Management Professional (CDMP), PMI-ACP, or AI Governance/Responsible AI are a plus
Responsibilities
- Lead client engagements focused on AI strategy, including AI opportunity assessment, roadmap development, op model design aligned with business objectives
- Conduct stakeholder interviews, workshops, and assessments to evaluate AI readiness across people, process, data, technology, governance, and organizational maturity
- Advise senior stakeholders on trade-offs, risks, and investment decisions related to change management and AI adoption
- Identify, prioritize, and define AI use cases and Agentic workflow opportunities through structured business process mapping and evaluation
- Work closely with cross functional teams to define future-state solution architectures and translate strategy into executable roadmaps & implementation plans
- Develop AI business cases, including ROI modeling (NPV, cost-benefit, effort vs. value prioritization) and value realization frameworks
- Design AI operating models and governance frameworks, including responsible AI, risk management, effective monitoring and model oversight practices
- Evaluate AI tools, platforms, and vendors (e.g., LLMs, copilots, Snowflake/Databricks AI capabilities) and provide strategic recommendations
- Apply practical knowledge of tools such as Claude, ChatGPT, and enterprise AI platforms to inform solution design and feasibility
- Define KPIs and measurement frameworks to track the business impact of AI initiatives
- Support Business Development through proposal scoping, client pursuits, and thought leadership in AI Strategy
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What This Job Offers
Job Type
Full-time
Career Level
Senior
