Jobs · Marketing

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.

    Required Qualifications

    • 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.

    Preferred Qualifications

    • 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.

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