Sr. Manager, Program Management

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

 

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 77187 

Description

Skyworks is building a high‑impact AI/ML portfolio across manufacturing, operations, quality, and supply chain. We are hiring a Senior Manager to lead an elite Program Management team responsible for driving execution and delivering measurable ROI from AI/ML initiatives. This leader will design and run a world‑class program operating system—shaping the AI/ML roadmap with stakeholders, structuring cross‑functional delivery, managing dependencies, and driving adoption to ensure solutions progress from pilot to scaled production with clear business outcomes.

Responsibilities

1) ROI & Business Value Realization
•    Own the AI/ML value realization framework: define value hypotheses, establish baselines, quantify benefits, and track ROI post-deployment.
•    Partner with Ops/Manufacturing/Quality/Supply Chain/Finance leaders to define business outcomes, success metrics, and adoption requirements before build starts.
•    Create and maintain value dashboards (KPI trees, financial impact models, benefit tracking, and realized vs. projected value).
•    Ensure each initiative has clear “definition of done”: production adoption, process integration, training, support model, and measurable KPI lift.
2) Program & Portfolio Leadership
•    Lead the AI/ML program portfolio across manufacturing and operations: intake → prioritization → delivery → scale.
•    Drive structured execution: program plans, timelines, RAID logs, milestone reviews, risk management, change control, and executive updates.
•    Run governance forums: steering committees, operating reviews, and cross-functional decision-making cadences.
3) Cross-Functional Leadership
•    Coordinate across Manufacturing Engineering, Operations, Quality, Supply Chain, IT, Data Engineering, Security, and Site Leadership.
•    Drive alignment on data access, system integration, validation/qualification, and operational rollout.
•    Anticipate and resolve organizational friction such as ownership gaps, resourcing conflicts, scope creep.
4) AI/ML Delivery Enablement (Product + Execution Mindset)
•    Translate operational problems into executable AI/ML initiatives: well-defined problem statements, requirements, constraints, and acceptance criteria.
•    Partner closely with DS/ML engineers and data teams on experimentation cadence, evaluation plans, and deployment readiness.
•    Ensure solutions meet manufacturability requirements: reliability, monitoring, drift detection, retraining triggers, and incident response.
5) Build the “Elite Team” Operating Model
•    Help scale an elite execution bench by influencing hiring plans, partner selection, and cross-functional staffing models.
•    Establish playbooks for AI/ML delivery in operations: intake templates, experimentation standards, MLOps handoffs, and rollout checklists.
•    Coach project leads and stakeholders on modern AI/ML delivery best practices.

Required Experience and Skills

•    Master or PhD in related technical fields such as Software Engineering, Electrical Engineering, Data Analytics. 
•    12+ years in program management, technical program management, operations program leadership, or related roles; including cross-functional delivery in complex environments.
•    Demonstrated experience driving operational ROI (not just shipping projects): measurable improvements in yield, scrap, cycle time, OEE, cost, forecast accuracy, quality escapes, etc.
•    Strong ability to work with technical teams (DS/ML, data engineering, software, IT) and operational teams (manufacturing/quality/supply chain).
•    Proficiency with program management tools and methods (Agile/Hybrid, dependency management, RAID, executive reporting).
•    Excellent stakeholder management: can align executives, engineers, and factory teams and drive decisions.

Desired Experience and Skills

•    Experience in semiconductor manufacturing or high-mix, high-volume manufacturing environments.
•    Familiarity with AI/ML use cases in manufacturing/operations:
o    predictive maintenance, anomaly detection, tool health monitoring
o    yield modeling, defect classification, inline metrology analytics
o    process control, virtual metrology, dispatch optimization
o    demand/supply planning, inventory optimization, lead-time prediction
•    Exposure to MLOps concepts (model deployment lifecycle, monitoring, retraining, validation).

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The typical base pay range for this role across the U.S. is currently USD $143,000 - $286,400 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance. 

 

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.