director, decision science

Starbucks Coffee CompanySeattle, WA
$187,400 - $319,000Onsite

About The Position

As a director, decision science supporting the Finance organization, you will shape how Starbucks manages and uses financial data as a strategic enterprise capability. You will establish the vision, strategy, governance, and modernization agenda for Finance data, creating trusted foundations that enable better decisions, measurable business value, advanced analytics, and future-ready capabilities across the organization. Through strong partnership with Finance leaders, Starbucks Technology, Enterprise Data & Analytics teams, and other cross-functional partners, the director decision science drives organizational alignment, adoption, and measurable business outcomes. This role builds and leads a high-performing team of finance data scientists, analysts, and data practitioners while enabling advanced analytics, artificial intelligence, and future-ready decision support across Finance.

Requirements

  • BA/BS or equivalent experience
  • Experience with cloud tech for data and analytics solutions (Azure, AWS)
  • Expertise or experience in Excel, SQL, Tableau / PowerBI and Python, R or other advanced analytics scripting language or experimental design platforms
  • Expertise in data methodologies and skills in accordance with business applicability and insights operationalization
  • Experience managing small teams of 2-4 individuals
  • Excellent attention to detail, strong written and verbal communication skills
  • 10 years of experience in specific field of designated skills

Nice To Haves

  • MS in Stats, Math, Comp Sci, Engineering, Econ, Psychology, Quantitative Social Science, or similar
  • 10+ years experience managing people leaders and / or teams of larger scale / scope

Responsibilities

  • Set the vision and strategy for how Finance transforms the current framework for decision support, advanced analytics, and predictive outcomes into a strategy enterprise capability.
  • Lead data modernization and architecture efforts to deliver a durable, future-state environment as the foundation for advance analytics, AI utilization, automation, and future-ready decision support.
  • Establish governance and stewardship best practices to enhance data quality, accountability, ownership, and consistent use of KPIs and metrics.
  • Translate the strategy into results by developing clear program scope, objectives, and milestones to deliver solutions on committed timelines.
  • Build enterprise partnerships and drive adoption through strategic connections with Starbucks Technology, key stakeholders, and partnerships within the Finance organization.

Benefits

  • medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits
  • short-term and long-term disability
  • paid parental leave
  • family expansion reimbursement
  • paid vacation from date of hire
  • sick time (accrued at 1 hour for every 25 hours worked)
  • eight paid holidays
  • two personal days per year
  • 401(k) retirement plan with employer match
  • discounted company stock program (S.I.P.)
  • Starbucks equity program (Bean Stock)
  • incentivized emergency savings
  • financial well-being tools
  • 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
  • student loan management resources
  • access to other educational opportunities
  • backup care
  • DACA reimbursement
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