AI Strategy Manager
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Job Description
AI Strategy Manager at Aimpoint Digital driving business value through AI strategy and analytics. Act as trusted advisor in identifying and operationalizing AI opportunities across different clients.
Responsibilities:
- Act as a trusted advisor to clients—partnering with business and technology leaders to shape and execute their AI transformation agendas
- Help clients determine where AI should (and should not) be applied, and define the strategic, operational, and economic rationale for AI investments
- Lead engagements focused on AI opportunity assessment, AI strategy development, governance design, AI solution definition and business case development
- Assess current-state AI maturity, identify high-value use cases, re-imagine business processes and translate business needs into actionable AI strategies and roadmaps
- Work closely with cross-functional teams to ensure strategies are practical, scalable, and aligned to measurable business value
- Own the delivery of client engagements end-to-end
- Drive the development of our go-to-market AI strategy offerings, support business development, shape proposals, and develop reusable methodologies and frameworks
- Mentor team members and drive 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.
Benefits:
- Professional development opportunities
- Opportunity to mentor team members
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