AI Strategy Manager
New
A
Aimpoint DigitalAI Data Consulting
We are actively seeking candidates for full-time, remote work within the US or UK.Full-TimeManager
Salary not disclosed
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Job Details
- Experience
- 3- 5 years of recent consulting, advisory, or other client facing strategy roles
- Required Skills
- AWSGCPSnowflakeAzureDatabricksGenerative AI
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 (Claude, ChatGPT, etc.)
- Experience working with or evaluating AI capabilities within enterprise platforms like Snowflake or Databricks
- Functional understanding of AWS, Azure, GCP
- Strong experience in business case development, including value quantification for AI initiatives
- Experience conducting business process mapping
- Strong understanding of AI and GenAI capabilities, limitations, and enterprise implications
- Experience designing/advising on AI governance and risk frameworks
- Strong communications skills with experience presenting to C-suite & executive stakeholders
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 and provide strategic recommendations
- Support Business Development through proposal scoping, client pursuits, and thought leadership in AI Strategy
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