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The Copley Consulting Group

Lead Project Manager - Supporting ETS

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What they do

A Project Manager manages work on projects with a defined scope, start and completion point. Leads project teams, manages project budgets and schedules; manages contractors and communications with stakeholders. May manage projects in construction, information technology or in other industries.

$102,596 / year median in Ohio

+3% projected growth

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Job Description

Our client is currently seeking a Lead Project Manager - Supporting ETS The Lead Project Manager provides strategic leadership for the most complex enterprise programs and portfolios, driving Agile delivery at scale and championing AI-first project management practices. This role sets the vision for Agile and agentic AI adoption across the IT Project Management function, governs cross-portfolio dependencies, and mentors the full PM team. The Lead Project Manager partners with enterprise architecture, data, and AI governance teams to define and operationalize AI-enabled project delivery capabilities, ensuring alignment with organizational standards. Additionally, this role ensures strong alignment between technology investments and business strategy while advancing enterprise-wide delivery maturity.
MINIMUM LEVEL OF PREPARATION AND TRAINING NORMALLY REQUIRED
1. A bachelor's degree in computer science or business administration with an emphasis in management information systems or equivalent work experience. 2. 7+ years of progressive project management experience, including 5+ years leading enterprise Agile programs and AI-augmented delivery initiatives. 3. PMP and SAFe Program Consultant (SPC) or SAFe Fellow certification required. Additional certifications in AI, Lean Portfolio Management, or enterprise Agile strongly preferred. 4. Evaluates, selects, and oversees implementation of enterprise AI platforms for project portfolio management, resource optimization, and predictive delivery analytics. 5. Leads Agile Center of Excellence initiatives, establishing training programs, certification pathways, and maturity assessments across the organization. 6. Strategic expertise in agentic AI, including AI governance, enterprise AI platform evaluation, prompt engineering strategy, and building AI-first PM organizations. 7. Mastery of Agile at scale (SAFe, LeSS, Disciplined Agile) with experience leading enterprise-level Agile transformations. 8. Experience presenting to executive leadership and governing enterprise technology investments.