AI Transformation Strategist & Program Leader
crypto:applicationproductIC5Central TPM
Compensation
Not disclosed
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Having been born in the cloud, we are now accelerating our journey to transform into an AI-native company. Reporting directly to our AI Transformation executive, this role will be responsible for defining and executing our most impactful transformation initiatives.
You are not just a theorist; you are a connector and evangelist who identifies high-impact AI opportunities, prototype solutions, and guide our global workforce toward responsible and inclusive AI adoption. This role will sit at the intersection of business strategy and technical execution. Working closely with our business and technical leaders of People, Finance, and Legal technologies to redefine the team member experience.
Responsibilities:
8+ years of experience in digital transformation, product strategy, or AI enablement (ideally in high-growth tech), with at least 5 years specifically focused on People, Finance, or Legal technologies.
Deep understanding of core People/Finance systems (Workday, Greenhouse, Oracle FInancials) and how People/Finance processes work end-to-end.
Proven success leading AI implementations or workflow automation, with a deep understanding of LLM capabilities (e.g., Gemini, Claude, GPT, Copilot).
Comfort working with technical and non-technical stakeholders alike. You can speak engineering and business in the same conversation.
Strong communication chops—you’re a natural translator, facilitator, and storyteller.
Curiosity and a thoughtful point of view about where AI is heading, and how we can harness it in responsible and inclusive ways.
Demonstrated ability to partner cross-functionally
Demonstrated ability to conceptualize employee experience as a product, with proven success applying product management principles (roadmapping, user journeys, feature prioritization) to People or Finance initi