About the Role
Own the enterprise GenAI roadmap, ensuring alignment between AI capabilities, business priorities, and technical feasibility.
Lead evaluation, prioritization, and execution of AI POCs, pilots, and RFPs, partnering with IT, Security, Engineering, and vendors.
Drive the transition from pilot to scaled deployment, ensuring AI solutions are operationally viable and enterprise‑ready.
Serve as the business operations owner for internal AI platforms and agent capabilities, including roadmap planning and ongoing optimization.
Coordinate cross‑functional dependencies (technology, security, data, change) to ensure successful AI platform launches.
Oversee technical project management for enterprise GenAI initiatives, including planning, execution, and delivery of AI solutions.
Collaborate with leadership to define enterprise AI strategy and set strategic goals and priorities for the team.
Own the enterprise AI value realization framework, translating AI adoption into measurable productivity, quality, and capacity outcomes.
Define and maintain standardized value metrics, targets, and success criteria for priority AI initiatives across functions.
Partner with Finance and business leaders to quantify FTE‑equivalent productivity gains, cost avoidance, and ROI from AI investments.
Establish a repeatable operating model to move from anecdotal AI wins to durable, enterprise‑level value measurement.
Prepare and deliver regular executive‑level reporting on AI adoption, value realization, and progress against FY26 priorities.
Act as the primary owner of enterprise AI outcomes, operating rhythm, and value realization, partnering closely with the Adoption & Enablement Specialist.
Provide strategic direction, priorities, and success metrics that inform enablement programs, training plans, and adoption campaigns.
Collaborate with enablement and change partners while remaining accountable for overall AI initiative success and business impact.
Ensure alignment between what is being enabled and what is driving measurable enterprise value.
Translate AI adoption and productivity gains into capacity planning, financial impact, and investment narratives for senior leadership.
Use data and insights to inform prioritization decisions across competing AI initiatives.
About You
Experience: Minimum of 8+ years of experience in business operations or program management, with a strong focus on technology or AI projects.
Skills: Strong project management skills, excellent communication and interpersonal skills, and a deep technical understanding of AI technologies.
Certifications: Relevant certifications in project management or AI technologies are a plus.
Innovative Thinking: Ability to think creatively and develop innovative solutions to complex problems.
Technical Expertise: Understanding of AI technologies and their application in an enterprise setting.
Project Management: Strong project management skills, with the ability to manage multiple projects simultaneously.
Collaboration: Proven ability to work effectively with cross-functional teams and stakeholders.
Communication: Excellent verbal and written communication skills, with the ability to present complex information clearly and concisely.
Analytical mindset with the ability to synthesize data and provide actionable insights.
Proactive and has a can-do attitude.
Proven skills with the ability to manage multiple priorities and deliver results in a fast-paced environment.
Ability to present complex information clearly and concisely.
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