Strategic Transformation & Process Excellence PM

Starbucks

Seattle (WA)

On-site

USD 140,000 - 190,000

Full time

40 hours ago
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Benefits offered by this job

Medical, dental & vision
401(k) with employer match
Tuition coverage
Paid vacation
Paid holidays
Personal days

Job summary

Starbucks is seeking a seasoned Program Manager, Transformation and Process Excellence, to lead end-to-end process optimization across Product, Supply Chain, and Store Operations. You will drive initiatives focused on waste reduction, inventory optimization, and analytics to unlock efficiency and business impact.

The role requires strong cross-functional collaboration, data-driven decision-making, and experience applying Lean and Agile methods to large-scale programs.

Qualifications

  • 8+ years of experience leading large, cross-functional programs.
  • Experience with Agile, Waterfall or hybrid delivery models.
  • Proven ability to analyze current-state processes and design future-state improvements.
  • Strong data analytics and reporting skills to drive decisions.

Responsibilities

  • Define and lead enterprise-wide process transformation initiatives with clear business cases.
  • Collaborate across finance, technology, product, sourcing, supply planning, manufacturing, and stores.
  • Use data and dashboards to identify opportunities and measure impact on service, cost, quality.
  • Sequence projects, monitor interdependencies, risks, and milestones.
  • Maintain executive status reporting and escalate issues to drive resolution.

Skills

Program management
Cross-functional collaboration
Data analytics
Lean / continuous improvement
Agile / hybrid delivery

Job description

Starbucks is seeking a seasoned Program Manager, Transformation and Process Excellence, to lead end-to-end process optimization across Product, Supply Chain, and Store Operations. You will drive initiatives focused on waste reduction, inventory optimization, and analytics to unlock efficiency and business impact.

The role requires strong cross-functional collaboration, data-driven decision-making, and experience applying Lean and Agile methods to large-scale programs.

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