This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Workforce Capability Lead based in the United States.
The Workforce Capability Lead will drive strategic learning and performance initiatives that strengthen frontline employee readiness and improve customer experiences in a rapidly evolving, AI-supported environment. This role combines performance consulting, program management, learning design, and organizational enablement to translate complex business needs into scalable, measurable solutions. You will partner with cross-functional teams to identify performance gaps, develop targeted learning experiences, and connect training with coaching, knowledge resources, and on-the-job support. Using data, employee feedback, and quality insights, you will evaluate effectiveness and continuously improve workforce capabilities. You will manage multiple high-impact programs, influence stakeholders across the organization, and communicate progress and recommendations to senior leaders. This is an opportunity to shape innovative enablement strategies while helping frontline teams and leaders deliver more consistent, effective, and customer-focused outcomes.
Workforce Capability Strategy: Lead a portfolio of cross-functional enablement programs designed to improve frontline employee readiness, performance, and leadership effectiveness. Translate business priorities into scalable strategies that connect learning, practice, coaching, knowledge management, communications, and ongoing reinforcement.
Performance Needs Assessment: Diagnose complex and partially defined performance challenges by analyzing business objectives, operational metrics, quality trends, workflows, knowledge gaps, and employee feedback. Develop clear problem statements, identify root causes, and recommend the most effective combination of learning and non-learning interventions.
Learning Experience Design: Design and develop engaging, accessible, and scalable learning experiences using e-learning authoring platforms and AI-enabled tools. Create solutions tailored to frontline customer-facing employees and people leaders, incorporating adult learning principles and practical application.
Program and Portfolio Management: Oversee multiple initiatives across learning delivery, guided practice, performance support, communications, adoption, sustainment, and measurement. Establish priorities, define program scope, manage timelines and dependencies, and maintain clear documentation to ensure consistent execution.
Cross-Functional Stakeholder Management: Partner with Operations, Product, Quality Intelligence, Knowledge Strategy, Talent, and Data Analytics teams to align objectives, responsibilities, resources, and delivery expectations. Influence stakeholders without formal authority and facilitate decisions across competing priorities.
Facilitation and Delivery: Facilitate high-priority learning experiences and coordinate subject-matter experts or distributed facilitators when appropriate. Select delivery methods based on audience needs, program objectives, operational constraints, and expected outcomes.
Measurement and Continuous Improvement: Define measurable performance outcomes and evaluate program effectiveness using quantitative and qualitative evidence. Monitor adoption, readiness, learning impact, and operational performance to identify opportunities for improvement and demonstrate business value.
Enablement Architecture: Contribute to the development of integrated workforce enablement systems that connect learning, coaching, knowledge resources, workflows, communications, and reinforcement. Identify ineffective practices, redesign existing solutions, and introduce new approaches that improve performance at scale.
Leadership Communication: Provide clear, proactive updates to frontline partners and senior leaders on program progress, risks, dependencies, tradeoffs, results, and recommendations. Translate complex information into concise narratives and actionable plans.
Innovation and AI Adoption: Apply AI-powered tools and emerging technologies to improve learning design, content development, collaboration, and workforce enablement. Experiment with creative approaches while maintaining alignment with program objectives and established priorities.