AI Strategist 2026- US, COL

Aimpoint Digital

13d•Remote

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 where AI can create meaningful business value and build practical strategies to realize that value across the organization.

Requirements

Bachelor's degree required
3-5 years of recent consulting, advisory, or other client-facing strategy experience leading AI, analytics, digital transformation, process improvement, or related initiatives
Demonstrated experience identifying and prioritizing business opportunities through stakeholder interviews, workshops, process analysis, or value stream mapping
Experience translating business processes and operational challenges into practical technology or AI use cases
Strong experience developing business cases, including value quantification, ROI analysis, cost-benefit analysis, or productivity impact assessment
Practical experience using modern AI tools such as Anthropic's Claude, OpenAI's ChatGPT, or similar platforms for analysis, prototyping, workflow improvement, or solution delivery
Ability to compare AI tools and platforms and recommend appropriate solutions based on business requirements rather than individual product preferences
Strong understanding of AI capabilities, limitations, and practical applications within large organizations
Experience developing strategic recommendations and implementation roadmaps for complex organizations
Strong communication skills with experience presenting recommendations to senior and executive stakeholders

Nice To Haves

Master's in Business or related field preferred
Experience conducting value stream mapping, process redesign, operating model, or productivity improvement initiatives
Experience evaluating and selecting AI tools, vendors, or enterprise platforms
Familiarity with AI capabilities within platforms such as Snowflake, Databricks, Microsoft, AWS, Google Cloud, or similar enterprise technology environments
Experience with workflow automation, AI-assisted decision making, or AI-enabled business process redesign
Experience conducting organizational readiness assessments across people, process, data, technology, and governance
Hands-on experimentation with AI tools, including prompt design, workflow development, tool integration, or rapid prototyping
Working knowledge of AI/ML concepts, automation platforms, or MLOps practices is a plus
Relevant certifications in data management, process improvement, project delivery, AI governance, or related disciplines are a plus

Responsibilities

Lead client engagements focused on AI use case identification, prioritization, strategy development, and roadmap creation
Conduct value stream mapping, business process mapping, stakeholder interviews, and workshops to understand how work is performed across an organization
Identify productivity opportunities where AI can reduce manual effort, accelerate knowledge work, improve employee effectiveness, or simplify existing processes
Identify higher-value opportunities where AI can improve business processes, support better decision making, automate workflows, or enable new organizational capabilities
Evaluate and prioritize AI use cases based on expected business value, feasibility, complexity, risk, data requirements, organizational readiness, and time to value
Translate identified opportunities into comprehensive AI strategies, prioritized use case portfolios, and practical implementation roadmaps
Develop business cases for AI initiatives, including ROI analysis, cost-benefit analysis, productivity impact, capacity creation, and value realization frameworks
Evaluate AI tools and platforms, including Anthropic, OpenAI, and other leading providers, and recommend the appropriate technology for specific business requirements
Compare AI platforms based on practical considerations such as capabilities, integration requirements, security, governance, cost, scalability, and user experience
Work closely with business and technical teams to determine the appropriate solution approach for identified opportunities, including productivity tools, workflow automation, custom applications, and AI-enabled business processes
Define KPIs and measurement frameworks to track adoption, productivity improvements, financial impact, and overall business value
Advise senior stakeholders on AI investment priorities, trade-offs, risks, and sequencing
Support Business Development through proposal scoping, client pursuits, development of AI Strategy offerings, and thought leadership