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This position sits within the Capacity Planning technical capabilities team and will own the AI Enablement pillar for the Capacity Planning ecosystem. The role focuses on identifying high-value AI opportunities, delivering proof-of-concept initiatives, and building a structured roadmap to evolve capacity planning into a more intelligent, automated, and insight-driven platform. The role blends business problem solving with technical execution and stakeholder engagement. The individual will work closely with platform owners (Airtable, Alteryx, Tableau, Data Governance), Technology and Business partners to translate opportunities into scalable AI-enabled solutions.
Job Responsibility:
Own AI enablement for the Capacity Planning ecosystem
Identify, evaluate, and prioritize AI use cases across documentation, analytics, modeling, governance, and decision support
Design and deliver proof-of-concept (PoC) initiatives to validate value and scalability
Build and maintain an AI roadmap aligned with business priorities and platform maturity
Develop AI-powered knowledge solutions, enabling Q&A over documentation, metrics, assumptions, and model logic
Apply AI for semantic analysis, trend detection, comparisons, outlier identification, and automated narrative generation
Partner with Technology and Data Science teams to ensure solutions are secure, scalable, and compliant
Translate business problems into AI-enabled workflows and products, not just models
Communicate outcomes through clear storytelling and stakeholder engagement
Requirements:
Degree in Engineering, Data Science, Analytics, Computer Science, Business, or similar
Experience working with AI, advanced analytics, automation, or data science solutions in a business environment
Ability to design and execute proof-of-concept projects and translate ideas into practical solutions
Strong problem-solving skills with the ability to manage large and complex datasets
Experience with tools such as Python, SQL, Tableau, Alteryx, automation platforms, or AI/NLP frameworks is a plus
Comfortable operating between business and technology, translating needs into solutions
Strong stakeholder management and communication skills
Structured mindset with the ability to work in ambiguous problem spaces
Analytics background is an advantage
Ability to see beyond requests to understand root causes and opportunities for automation and insight generation