Program Manager, AI Enablement & Workforce Readiness

Role overview

Compensation

• Expected hiring range is $96,000 to $120,000 based on a 35-hour work week; actual salary depends on qualifications, experience, market conditions, and internal equity.

Qualifications

• 5+ years leading complex learning, organizational effectiveness, capability, change enablement, workforce planning, or related initiatives.
• Experience leading cross-functional initiatives in complex, evolving organizations and influencing without direct authority.
• Ability to translate business strategy and emerging technology into capability, learning, and adoption plans.
• Working knowledge of AI-enabled work, digital adoption, responsible use, and organizational adoption conditions.
• Strong program and project management, analytical problem-solving, communication, facilitation, and presentation skills.
• Experience with champion networks, communities of practice, insurance, financial services, retail, or distributed organizations is valued.
• A related degree or equivalent experience is sought; relevant program/project management, change, adult learning, or workforce planning certifications are assets.

Responsibilities

• Lead the People & Performance components of the Future Ready Workforce roadmap and oversee plans, scope, deliverables, resources, risks, budgets, governance, and executive reporting.
• Translate transformation priorities into workforce readiness, future skills, capability, role, workflow, and learning requirements with cross-functional partners.
• Coordinate capability mapping, skill-gap analysis, and future capability planning; support workforce planning, role design, talent mobility, career pathways, reskilling, and talent pipelines.
• Build and lead the AI Champion Network, establishing its operating model, expectations, priorities, measures, and cadence.
• Develop role-based learning pathways and practical resources with Learning & Development and external vendors.
• Help employees and leaders use AI responsibly and evaluate AI-generated work with appropriate human review.
• Support adoption and address capability, confidence, behavior, process, expectation, and leadership barriers.
• Track program delivery, workforce readiness, capability, adoption, workflow application, and business impact; use feedback to improve programs.