Lean Portfolio Management Lead

CGI•Reston, VA

2d•Hybrid

About The Position

We are seeking a Lean Portfolio Management Lead to establish and lead a Lean Portfolio Management function supporting our client's business. This role will design and enable a flow-based portfolio operating model that maximizes value delivery, improves throughput, and aligns investments to strategic outcomes. Rather than focusing on traditional governance, this role will emphasize value stream alignment, flow optimization, and outcome-based decision-making across a portfolio of AI, digital, and core modernization initiatives. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!. This role is located at a client site in either Reston, VA. A hybrid working model is acceptable.

Requirements

10+ years in portfolio/product/program leadership, with LPM or product-centric operating models
Experience transforming legacy PMOs into flow-based, value-driven organizations
Deep understanding of LPM, flow metrics, and value stream management
Proven experience implementing outcome-based funding and prioritization models
Experience with AI/ML and GenAI portfolio management (evaluation, reuse, scaling)
Strong familiarity with ServiceNow SPM, Jira, AWS, and GitLab ecosystems
Ability to connect engineering realities with portfolio strategy
Strong executive influence and stakeholder alignment skills
Bachelor's degree required (Business, Technology, or related field)

Nice To Haves

MBA or relevant advanced degree preferred
Certifications such as SAFe (SPC/LPM), PMP, or equivalent are a plus

Responsibilities

Establish and evolve a Lean Portfolio Management (LPM) framework focused on flow, value realization, and continuous prioritization
Shift funding models toward capacity-based / block funding aligned to value streams
Define and track flow metrics (e.g., throughput, cycle time, WIP, value delivery) instead of traditional project KPIs
Enable dynamic portfolio prioritization based on business outcomes, risk, and strategic alignment
Guide evaluation, scaling, and reuse of AI/ML and GenAI initiatives across the enterprise
Partner with business and technology leaders to align strategy to investment to execution to outcomes
Create transparency through real-time portfolio insights, leveraging ServiceNow SPM, GitLab, and AWS ecosystems
Remove systemic bottlenecks and improve end-to-end value delivery flow
Benchmark and evolve practices using industry-leading LPM and product operating models