The AI Planner is responsible for defining and driving the organization's AI strategy. This role focuses on identifying high-impact AI opportunities, building strategic roadmaps, and aligning AI initiatives with business objectives. The AI Planner acts as a bridge between business leadership, technology teams, and data specialists to ensure AI investments deliver measurable value
Key Responsibilities
AI Strategy & Roadmap
- Develop and maintain the organization's AI strategy and multi-year AI roadmap aligned with business priorities.
- Identify and prioritize AI opportunities across departments
- Translate business problems into AI-enabled strategic initiatives.
Business & Opportunity Assessment
- Conduct AI opportunity discovery workshops with stakeholders.
- Evaluate potential AI use cases based on impact, feasibility, cost, and data availability.
- Build business cases and ROI analysis for AI initiatives.
- Strong experience in product planning, operations planning, cost analysis, business analytics, market and competitive analysis
Program & Portfolio Planning
- Define and manage an AI initiative portfolio including pilots, operations, and scaled deployments.
- Create clear implementation plans including milestones, resources, and timelines.
- Monitor progress of AI initiatives and adjust roadmap as necessary.
Cross-Functional Collaboration
- Work closely with Data Science, Product and Project Manager and Operations teams to translate strategy into implementation.
- Ensure alignment between AI initiatives and enterprise digital transformation programs.
- Facilitate communication between technical teams and executive stakeholders.
Market & Technology Intelligence
- Track emerging AI technologies, tools, and industry trends.
- Benchmark competitors AI adoption and identify strategic opportunities.
- Recommend partnerships, platforms, or investments that support the AI roadmap.
Governance & Adoption
- Help define AI governance frameworks, responsible AI principles, and adoption strategies.
- Drive organizational understanding and adoption of AI initiatives.
Qualifications
Education
- Bachelor's or Master's degree in Business Strategy, Data Science, Computer Science, Engineering, or related field.
Experience
- 5+ years in strategy, digital transformation, innovation, or technology planning.
- Experience developing technology or AI roadmaps.
- Experience working with data science or AI teams.
