Role Overview
The AI Business Partner serves as the bridge between business stakeholders and technology teams, driving the adoption and delivery of AI solutions that improve productivity, decision-making, customer experience, and business outcomes. This role partners closely with functional leaders to identify opportunities, define use cases, prioritize initiatives, and ensure successful implementation of AI-driven solutions.
Key Responsibilities
Strategic AI Partnership
- Partner with business leaders to understand strategic priorities and identify AI opportunities.
- Translate business challenges into AI use cases and implementation roadmaps.
- Advise stakeholders on AI capabilities, limitations, risks, and best practices.
- Develop business cases and ROI assessments for AI initiatives.
AI Use Case Development
- Identify, evaluate, and prioritize AI and Generative AI opportunities across business functions.
- Facilitate workshops to uncover automation, prediction, and decision-support opportunities.
- Define success metrics, KPIs, and measurable business outcomes.
- Build and manage AI project pipelines.
Program Delivery
- Collaborate with Data Science, Engineering, Product, and IT teams to deliver AI solutions.
- Drive end-to-end implementation from concept through deployment and adoption.
- Manage stakeholders, timelines, risks, and change management activities.
- Track project performance and value realization.
Change Management & Adoption
- Promote AI awareness and digital transformation across the organization.
- Develop user adoption strategies and training programs.
- Act as an internal AI advocate and trusted advisor.
- Support governance, compliance, and responsible AI practices.
Market & Technology Insights
- Stay current on emerging AI technologies, GenAI platforms, and industry trends.
- Evaluate AI vendors, tools, and partnership opportunities.
- Recommend innovative solutions to support business growth and operational efficiency.
Required Qualifications
- Bachelor's degree in Business, Computer Science, Data Analytics, Engineering, or related field.
- 5-10+ years of experience in consulting, business transformation, digital transformation, product management, analytics, or technology-related roles.
- Experience leading cross-functional projects involving data, analytics, AI, or automation.
- Strong stakeholder management and executive communication skills.
- Ability to translate technical concepts into business language.
- Experience developing business cases, ROI models, and strategic recommendations.