Head of Workforce Transformation and Applied AI

As Head of Workforce Transformation & Applied AI, you will champion the transformation of HR practices through AI-enabled solutions. Your primary focus is to translate workforce and talent challenges into practical, AI‑enabled solutions that enhance efficiency, effectiveness, and employee experience.

Operating as a senior individual contributor and program leader, you will play a critical role in establishing robust AI uses-cases; and ensuring AI solutions are well‑designed, responsibly governed, and supported by effective change management so they are adopted and deliver measurable value.

This is a hands-on role that requires strong judgment, influence, and delivery discipline, operating with autonomy within defined priorities while aligning to enterprise governance, technology standards, and leadership direction.

Operating with a drive to deliver measurable impact, and demonstrating exceptional stakeholder engagement and matrix leadership capabilities, you will partner across HR, Data & IT, Finance, Legal, and business units to align priorities and coordinate high-value AI initiatives.

Location Requirement:

This is a hybrid role, requiring at least two days a week onsite. We welcome candidates within a commutable distance to our Westbrook location or open to relocation.

What You Will Be Doing:

AI-Enabled Workforce Transformation

• Develop a playbook to identify, evaluate, and prioritize AI use cases that improve workforce effectiveness across areas such as workforce planning, work design, talent practices, and employee productivity.

• Guide cross‑functional project teams to design and implement AI‑enabled solutions, working in close partnership with IDEXX IT and Data & AI teams.

• Facilitate AI build‑vs‑buy decision-making, vendor evaluations, and pilot design in alignment with enterprise standards and governance.

• Consult on AI implementation planning activities including workflow redesign, testing, rollout planning, and post‑implementation evaluation.

• Monitor AI solution performance and adoption, identifying opportunities for iteration and improvement.

Performance, Productivity & Employee Experience

• Build business cases for AI investments that demonstrate clear ROI in terms of talent growth, workforce agility, and organizational effectiveness.

• Partner with People Analytics to define success metrics and track outcomes for AI‑enabled HR initiatives.

• Define and report AI value realization using outcome metrics (e.g., hours saved/capacity created) and adoption metrics (active users, frequency, task completion, satisfaction).

Job & Workflow Design

• Lead AI‑informed job and work redesign initiatives aligned to business and talent strategy.

• Partner with HRBPs and business leaders to identify opportunities to optimize jobs and workflows, and leverage collaboration models using AI‑enabled approaches.

• Translate workforce challenges into clearly defined problem statements, AI-enabled solution hypotheses and success metrics.

Digital Talent Strategy & Capability Building

• Partner with HR CoEs to embed AI insights into workforce and talent strategies.

• Contribute to the design of upskilling, reskilling, and career mobility initiatives informed by skills data and AI insights.

• Support the development of AI literacy and digital fluency resources for HR and leaders, including playbooks, learning pathways, and enablement materials.

• Develop an enterprise AI change enablement approach (role-based learning pathways, playbooks, governance guides) so HR and leaders can confidently adopt and scale AI-enabled practices.

Governance, Ethics & Change Leadership

• Apply established Responsible AI, data privacy, and ethical use guidelines in the design and deployment of workforce solutions.

• Lead change management activities for assigned initiatives, including stakeholder engagement, communications, training, and readiness assessment.

• Act as a connector across HR, IT, Data & AI, Legal, and business teams to ensure alignment, transparency, and effective delivery.

What You Need To Succeed:

• 8+ years of progressive experience spanning workforce transformation, talent strategy, and digital transformation, with demonstrated enterprise program leadership.

• Demonstrated success leading the design, development, and delivery of AI-enabled solutions end-to-end.

• Proven experience leading large-scale technology-enabled change management initiatives (multi