AI Strategist

DistroDenver, CO
2d$650 - $800Onsite

About The Position

Position: AI Strategist Responsibilities: • Develop and implement a comprehensive AI strategy aligned with company objectives. • Identify high-value AI opportunities across the organization. • Define, scope, and prioritize AI projects using frameworks such as ICE (Impact, Confidence, Ease). • Collaborate with product, finance, operations, and customer service teams to assess feasibility and value. • Translate complex AI/ML, Generative AI, LLMs, agentic workflows, and emerging technologies into business-friendly insights. • Support leadership and non-technical stakeholders in making informed decisions. • Lead prototypes and pilots through the end-to-end innovation funnel. • Guide deployment, scaling, and continuous improvement of AI initiatives. • Establish and maintain AI governance standards. • Ensure compliance with GDPR, CCPA, and ethical AI principles. • Define KPIs, ROI measurements, and adoption metrics for AI initiatives. • Provide ongoing data-driven insights to optimize performance and scaling.

Requirements

  • 3+ years of experience in AI/ML strategy, digital transformation, or related roles.
  • Strong understanding of AI/ML technologies including LLMs, generative AI, and agentic systems.
  • Proven ability to communicate technical concepts to executive and non-technical audiences.
  • Experience managing multiple AI initiatives simultaneously.
  • Strong working knowledge of data privacy regulations and AI ethics frameworks.
  • Excellent stakeholder management and communication skills.

Nice To Haves

  • Experience with AI governance and responsible AI practices.
  • Background in insurance, finance, or business consulting.
  • Technical degree or certifications in AI/ML, data science, or related fields.
  • Familiarity with Azure AI, AWS, and GCP.
  • Experience with change management and organizational adoption strategies.

Responsibilities

  • Develop and implement a comprehensive AI strategy aligned with company objectives.
  • Identify high-value AI opportunities across the organization.
  • Define, scope, and prioritize AI projects using frameworks such as ICE (Impact, Confidence, Ease).
  • Collaborate with product, finance, operations, and customer service teams to assess feasibility and value.
  • Translate complex AI/ML, Generative AI, LLMs, agentic workflows, and emerging technologies into business-friendly insights.
  • Support leadership and non-technical stakeholders in making informed decisions.
  • Lead prototypes and pilots through the end-to-end innovation funnel.
  • Guide deployment, scaling, and continuous improvement of AI initiatives.
  • Establish and maintain AI governance standards.
  • Ensure compliance with GDPR, CCPA, and ethical AI principles.
  • Define KPIs, ROI measurements, and adoption metrics for AI initiatives.
  • Provide ongoing data-driven insights to optimize performance and scaling.
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