Engineer Strategy Program Manager, Commercial Personal Systems
Description -
Job Summary
The Engineering Strategy Program Manager drives data-informed decisions across global Engineering. This role leads strategic analysis, workforce and budget planning, portfolio prioritization, and AI-enabled transformation initiatives.
Partnering with engineering, product, finance, and HR leaders, the Expert develops clear recommendations, planning models, and executive-ready insights that align resources, investments, and organizational capabilities with business priorities.
Responsibilities
Lead end-to-end strategic analyses for engineering investments, product portfolios, resource allocation, operating expenses, capital expenditures, NRE, and productivity initiatives.
Develop fact-based recommendations for executive decisions, including options, trade-offs, risks, financial implications, capacity impacts, and implementation considerations.
Build and maintain planning models for headcount, skills, workforce mix, site strategy, engineering capacity, demand forecasts, hiring plans, contractor utilization, and budget scenarios.
Partner with R&D, product, finance, and program leaders to establish planning assumptions, align priorities, identify gaps, and recommend actions to improve delivery confidence.
Translate ambiguous business questions into structured problem statements, analytical approaches, decision frameworks, and executive-ready outputs.
Design dashboards, scorecards, and management-review materials that provide transparent visibility into portfolio health, resource deployment, budget performance, engineering productivity, and strategic-program outcomes.
Lead analyses related to AI-enabled engineering transformation, including use-case prioritization, adoption measurement, productivity baselines, value realization, training needs, governance, and change-management implications.
Develop business cases and investment proposals for major initiatives, including benefits hypotheses, cost estimates, sensitivity analyses, risk assessments, milestone plans, and success metrics.
Define and improve planning processes, analytical standards, data definitions, governance mechanisms, and reporting rhythms across globally distributed engineering organizations.
Influence senior stakeholders through concise executive storytelling, clear data visualization, and practical recommendations that balance strategic ambition with implementation realities.
Mentor analysts and senior analysts in structured problem solving, financial and operational modeling, executive communication, data quality, and stakeholder management.
Serve as a recognized subject-matter expert in one or more areas such as R&D planning, engineering economics, AI transformation, workforce strategy, portfolio management, operating-model design, or data-driven executive decision support.
Education & Experience Recommended
Four-year or Graduate Degree in Business Administration, Statistics, MIS, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 7-10 years of relevant experience in engineering strategy, R&D planning, business operations, product strategy, management consulting, finance, program management, technical operations, or a comparable analytical leadership role.
Demonstrated experience supporting decisions in a complex technology, engineering, hardware, software, semiconductor, platform, manufacturing, or product-development environment.
Expert-level ability to structure ambiguous problems, formulate hypotheses, analyze evidence, identify root causes, and develop actionable recommendations.
Strong experience with financial and operational analysis, including budget planning, investment prioritization, resource allocation, scenario modeling, cost-benefit analysis, and business-case development.
Demonstrated capability in workforce and capacity planning, including headcount forecasting, skills analysis, location or site…