Director, Workforce Architecture
Listed on 2026-07-15
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Business
Change Management, AI Business & Operations
Values & Innovation
At Under Armour, we are committed to empowering those who strive for more, and the company's values—Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality—serve as both a roadmap for our teams and the qualities expected of every teammate.
Our values define and unite us. They are rallying cries, reminding us why we’re here, and fueling everything we do.
Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further—no matter your role. That means developing, delivering, and selling state‑of‑the‑art products and digital tools that make top performers even better.
If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here.
Purpose of RoleThe Director, Workforce Architecture is a future‑focused leader responsible for driving change at scale by defining how Under Armour’s workforce will transform in the face of emerging technologies. Future workforce readiness goes well beyond technology, focusing on operating model, talent, culture, agility, and execution. This role leads workforce strategy, translating emerging technologies into clear implications for roles, work design, skills, talent priorities, and team design.
This leader partners across HR and UA’s central AI team to ensure the organization moves beyond tool adoption to true work transformation, redesigning how work gets done and how talent is reconfigured and redeployed.
Workforce AI Strategy
- Develop and lead workforce strategy aligned to business goals and AI investments.
- Translate AI strategy into workforce implications across roles, workflows, skills, and teams.
- Advise on talent‑related trade‑offs in workflow transformation decisions.
- Ensure alignment between business priorities, AI capabilities, and workforce planning.
Work Redesign & Operating Model Evolution
- Lead redesign of work at scale, moving from task automation to workflow and team transformation.
- Help teams advance from basic AI adoption to full workflow, process, and operating model redesign.
- Map opportunities and priorities to restructure and automate work across human + AI collaboration.
- Partner with HR to evolve org structures to reflect new ways of working.
Talent Architecture & Workforce Segmentation
- Define and deploy a modern talent architecture aligned to AI‑first transformation.
- Identify gaps and priorities in skills, tasks, workflows, roles, individual and team capabilities.
- Partner with HR to shape hiring, development, and strategic talent investments.
- Use LLM APIs, agent frameworks, AI‑native platforms, and workflow automation tools to rapidly iterate without requiring dedicated engineering resources.
Transformation Execution & Value Realization
- Translate workforce strategy into actionable roadmaps with clear owners, timelines, and deliverables.
- Lead end‑to‑end delivery of workforce transformation initiatives, ensuring clear scope, milestones, and execution plans aligned to business priorities.
- Establish project governance, operating cadence, and cross‑functional alignment to drive execution.
- Define success metrics, track outcomes (e.g., productivity, cost efficiency, workforce mix, speed of execution), and ROI showing measurable business impact.
Transformation Advisory & Change Leadership
- Serve as a strategic advisor to HR and business leaders on workforce transformation.
- Guide decisions on where to automate, augment, or redesign work.
- Support prioritization of transformation initiatives based on talent impact and feasibility.
- 12+ years of experience in HR strategy, workforce planning, org design, or consulting.
- Experience in organization effectiveness, organizational development, organizational design, transformation, workforce planning, operating model design, and/or human resources.
- Experience in product management, applied AI, or technical solutions is an advantage.
- Experience building things with AI: you have used LLM APIs, prompt engineering, agent frameworks, and AI‑native tools to create working prototypes without heavy engineering support.
- Experience in large‑scale transformation or work…
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