Data & AI Enablement Expert

Job Summary

• Partner with business units to identify AI opportunities that address specific operational or strategic challenges.
  

• Serve as the link between business teams and AI engineering teams to ensure effective collaboration and alignment.
  

• Lead user engagement activities to support adoption and maximize value from AI solutions.
  

• Champion the organizations digital and AI adoption strategy.
  

• Drive business process re-engineering for digital and agentic AI workflows (As-Is vs To-Be) to streamline operations.
  

• Monitor measure and track real efficiencies delivered by AI agents to support continuous improvement.
  

• Develop and manage governance frameworks for agentic AI workflows in coordination with business stakeholders.
  

• Provide ongoing support for deployed AI use cases to ensure successful usage and performance.
  

• Capture prioritize and communicate business feedback to Data & AI technology teams.
  

• Create and execute functional test cases for Data and AI products to validate performance and usability.
  

• Lead business workflow enablement for enterprise digital platformssuch as CRMto enhance data quality process efficiency and user experience.
  

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or related fields.
  

• Minimum 10 years of total experience including at least 3 years leading Data & AI projects in a business-facing role.
  

• Experience translating business requirements into AI product features in collaboration with engineering teams.
  

• Good understanding of ML models Generative AI AI agents and cloud environments (e.g. Azure).
  

• Strong knowledge of AI use cases across corporate functions.
  

• Proven background in process re-engineering and optimization.
  

• Strong communication presentation and stakeholder management skills.
  

• Experience managing complex projects and delivering AI solutions within scope and timelines.
  

• Solid understanding of algorithms software architecture and data structures.
  

• Ability to work independently or within cross-functional teams while managing multiple priorities.
  

• Adaptable to fast-paced and evolving environments; quick learner of new tools and technologies.