Product & Enablement Leader, AI Productivity Tools - Remote
Optum · Eden Prairie, MN · 3 days ago
Marketing$135k–$231k/yrFull-time
Primary Responsibilities
- Own the enterprise AI productivity tools portfolio strategy (Microsoft Copilot, ChatGPT Enterprise, Claude Enterprise), including positioning, differentiation, and recommended usage patterns by role and function.
- Define the long-term vision, near-term roadmap, and success measures for AI productivity tools as part of the broader employee experience and AI transformation agenda.
- Balance innovation and experimentation with enterprise requirements for security, compliance, cost transparency, and responsible AI use.
- Lead and develop a global product team (product and enablement owners), building a high-performing, AI-fluent organization focused on measurable adoption and business value.
- Define and manage value-realization measures and communicate outcomes through concise, executive-ready storytelling.
- Partner with executive leadership to align AI productivity tools to enterprise priorities, transformation goals, and workforce impact.
- Proactively identify gaps, opportunities, and risks, and drive decisions that move from strategy to execution.
- Stay current on the AI landscape-tracking vendor announcements, emerging capabilities, and industry trends to inform strategy, roadmap decisions, and adoption plans.
- Enablement, Adoption & Evangelization:
- Shape the workforce AI skills strategy-ensuring employees not only adopt tools, but build lasting capability and confidence in applying AI to real work.
- Design and lead a multi-layered enablement strategy that includes self-service learning, targeted training, hands-on experiences, communities of practice, and in-the-flow-of-work guidance.
- Partner with stakeholders and executives to evangelize AI productivity tools through practical, role-based stories and examples.
- Ensure enablement is outcome-oriented-moving beyond tool training to sustained behavior change and productivity gains.
- Operationalization & Governance:
- Own prioritization and decision-making for the AI productivity tools portfolio, balancing innovation, risk, cost, and value realization.
- Coordinate across platform, security, finance, legal, and support teams to ensure smooth onboarding, clear guardrails, and scalable operations.
- Use real-world feedback to continuously refine governance and reduce friction while maintaining enterprise standards.
- Measurement, Insights & Value Realization:
- Establish clear adoption, usage, and value metrics for AI productivity tools aligned to enterprise transformation goals.
- Synthesize qualitative and quantitative insights to inform roadmap decisions, executive updates, and investment prioritization.
- Translate signals from support, training, and usage data into actionable improvements across products, enablement, and policy.
- Cross-Functional Leadership & Influence:
- Act as a connector across product, engineering, platform, enablement, and business stakeholders, enabling shared accountability for AI productivity outcomes.
- Influence senior leaders by framing AI productivity in terms of measurable business outcomes, not tools or features.
- Own strategic vendor relationships across the AI productivity portfolio, influencing roadmaps, feature prioritization, and enterprise readiness so tools evolve in line with organizational needs and value objectives.
- 3+ years of experience in enterprise product management, platform leadership, or digital transformation.
- 1+ years of experience delivering AI-powered or user-facing technology products (e.g., applied AI, intelligent agents, IT automation) in production environments.
- Demonstrated experience leading enterprise-scale productivity or enablement platforms, preferably spanning multiple tools or vendors.
- Vendor management experience, including licensing, roadmap engagement, and operational readiness.
- Solid understanding of generative AI concepts, productivity patterns, and responsible AI considerations.
- Solid understanding of enterprise technology ecosystems, including cloud platforms, APIs, architecture patterns, and modern digital experience platforms.
- Proven ability to operate across strategy, execution, and influence, including senior executive engagement.
- Proven high AI acumen across the enterprise productivity tool suite, with a current understanding of capabilities, limitations, and roadmaps to guide strategy, adoption, and value realization.
- Proven excellent stakeholder management skills, with the ability to align business, technology, and delivery teams around a shared vision and influence without authority.
- Proven solid analytical and decision-making skills, with a focus on metrics, outcomes, and continuous improvement.
- Experience launching or scaling Microsoft Copilot, ChatGPT Enterprise, Claude, or similar AI tools in a large enterprise.
- Familiarity with enterprise financial models (chargeback, cost attribution, licensing strategies).
- Proven background in change management, enablement, training, or workforce transformation.
- Proven ability to build, lead, and mature global product teams.
- Proven solid executive presence, with a track record of partnering with senior leaders to align priorities, manage risk, and drive measurable outcomes.
- Proven financial acumen, including building cost-benefit analyses and business cases to support product decisions.