Laisa Drake
AI Product Manager | Agile, Lean & Human-Centered Innovation
- Role
- Ai Product Manager at The Cigna Group
- Location
- Tampa, FL, US
- LinkedIn followers
- 500 followers
About Laisa Drake
My work sits at the intersection of product strategy, organizational transformation, and intelligent systems. For over a decade, I’ve helped enterprises shift how they discover problems, design solutions, and deliver outcomes — first through Agile and product transformation, and now through AI-enabled ways of working.Over the past year, I’ve expanded deeply into AI Product Management — partnering with machine learning engineers, designers, data scientists, and business leaders to shape strategy, define high-value use cases, prioritize experimentation, and guide AI-enabled workflows from concept to adoption.My foundation in Agile, Lean, and user-centered design allows me to move fluidly between discovery, delivery, and change adoption. I am certified in AI Change Management and experienced in enabling teams to shift how they think, plan, and execute as AI capabilities evolve.I don’t just build AI-powered products.I help organizations become AI-capable.I am equally passionate about integrating AI into my own workflow — accelerating discovery, shaping backlogs, clarifying communication, and enhancing decision-making. Just as importantly, I help product professionals build AI fluency so they can integrate these tools thoughtfully and strategically.Expertise:Intelligent Workflow DesignEnterprise Product Operating ModelsAI Experimentation & Use Case DevelopmentConversational & Human-Centered AI DesignCross-Functional System LeadershipOrganizational Change & AI AdoptionOutcome-Driven Discovery & PrioritizationAI Fluency for Product Professionals
Experience
Ai Product Manager
May 2024 — Present
Over the past two years, I\'ve championed a suite of AI solutions transforming how enterprises plan, fund, and deliver technology work. This includes an ML predictive model that identifies similar initiatives, surfaces impacted technology areas, and generates estimates across a complex portfolio; an AI coaching bot that guides employees through funding requests in real time — improving completeness and accelerating pipeline readiness; and a conversational AI assistant that puts enterprise planning, prioritization, and delivery metrics at any stakeholder\'s fingertips, no analyst required. Together, these tools reduce friction, democratize access to organizational intelligence, and embed AI directly into the workflows where funding and delivery decisions get made.Defined and communicated the vision, strategy and roadmap for AI/ML initiatives across IT Operations. Gathered, analyzed, and prioritized business requirements, translating them into clear specifications for development teams. Deployed AI solutions to automate key IT Operations workflows — spanning portfolio intake, funding, and tech delivery — reducing manual workload and increasing operational efficiency.Created and led a prioritized backlog of AI opportunities, partnering with senior stakeholders to identify, evaluate, and rank high-impact automation use cases using data-driven criteria—enabling experimentation, informed decision-making, and alignment to strategic business goals.Provided strategic recommendations to Senior Directors on optimizing people, process, and tools to accelerate AI adoption.Developed and delivered AI fluency programs for product and delivery roles such a BPOs, TPOs, & Solution Managers driving enterprise-wide capability uplift.
Education
UMN Carlson School of Management
Master of Business Administration (MBA)
2009 — 2012
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