This role leads the enterprise strategy, delivery, and ongoing product management of Lincoln’s suite of AI productivity tools—such as Claude, OpenAI, and other emerging AI platforms—along with other reusable, cross enterprise AI services. As the owner of our “horizontal AI” layer, this leader ensures these tools are reliable, scalable, integrated into business workflows and continuously delivering measurable value across all business lines. In addition to platform and product ownership, this role forms a deliberate partnership with HR to advance workforce enablement. The VP provides deep AI subject matter expertise, tooling strategy, and enablement resources that plug directly into the enterprise change construct. This is a highly influential role that blends AI product leadership, enterprise enablement, operational excellence, and transformational partnership to accelerate Lincoln’s AI adoption and deliver enterprise wide productivity outcomes.What you'll be doingEnterprise Strategy & Leadership• Serve as the enterprise thought leader for AI enablement, defining the vision, strategy, and multi year roadmap.• Align cross functional execution to enterprise priorities and translate AI capabilities into clear, role based value propositions.• Lead quarterly roadmap reviews and innovation planning with internal teams and strategic vendors.AI Adoption, Enablement & Literacy• Co lead AI literacy and enablement programs with HR, determining the objectives and key results to track and measure success e.g., using certification rates, usage analytics, and competency assessments to measure impact.• Drive cultural readiness, address behavioral barriers, and promote new, AI enabled ways of working across the enterprise.Vendor & Technology Partnership • Manage strategic AI vendor relationships and joint roadmaps to ensure performance and alignment to enterprise needs.• Lead vendor evaluation, selection, and performance management for new AI capabilities.• Partner with Procurement and Legal on negotiations, renewals, and cost optimization.• Define capability requirements for AI platforms and partner with AI and Data Engineering and Infrastructure teams on implementation.Data Alignment & Readiness• Ensure AI initiatives have appropriate data access, quality, and readiness.• Partner with Data, Privacy, and Security teams to ensure AI solutions adhere to data classification, retention, and privacy policies.Measurement & Performance• Establish and report KPIs and ROI tied to adoption, productivity, efficiency, and quality improvements.• Deliver dashboards, scorecards, and recommendations for continuous improvement.
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Job Type
Full-time
Career Level
Mid Level