Starbucks · 16 hours ago
director, Intelligence & Decision Science
Starbucks is a well-known coffee company, and they are seeking a Director of Intelligence & Decision Science to lead their IDS vertical within Corporate FP&A. This role involves designing and scaling modern finance intelligence capabilities, while partnering with various teams to enhance data stewardship, product leadership, and decision science ownership.
CoffeeFood and BeverageRestaurantsTea
Responsibilities
Define and drive the business product vision for Finance Data Stewardship, Planning & Forecasting, and Decision Science capabilities
Establish capability roadmaps and prioritized backlogs that balance enterprise value, adoption, and sustainability
Build and lead a high-performing team of Product Managers, Business Analysis Managers, and Decision Scientists
Form and lead cross-functional pods for key finance initiatives, aligning Finance, ST, Enterprise Systems, and Analytics partners around clear outcomes and delivery milestones
Translate finance strategy into business requirements, value KPIs, and product acceptance criteria, partnering with technical teams for delivery
Own business semantic definitions and data contracts for Finance; chair stewardship for canonical P&L models and metric governance; define acceptance criteria for finance data products delivered by ST; partner with Engineering leadership on platform roadmaps and release readiness
Lead cross-functional pods to resolve complex data and metric issues, ensuring alignment across finance, analytics, and technology stakeholders
Author business-side standards (data contracts, KPI definitions, finance logic) and approve technical standards set by ST/Data Office aligned with enterprise governance
Own product backlog prioritization and acceptance of finance data products delivered by ST/Data Engineering
Set business requirements and acceptance criteria for ingestion, schema, metadata, and data quality
Design and evolve the planning and forecasting ecosystem from a business capability perspective; own planning roadmaps, business process design, and value KPIs; partner with Enterprise Architecture and ST for standards and integrations
Stand up cross-functional pods to deliver planning and forecasting initiatives, coordinating finance users, system owners, and technology teams to drive adoption and measurable outcomes
Partner with Enterprise Architecture leadership to help define technical guardrails and integration patterns for forecasting automation
Partner with cross-functional teams (BU Finance, Corp. Finance, Digital, ST, Enterprise Systems) to modernize planning workflows; drive adoption and change management for planning workflows delivered by cross-functional teams
Serve as product owner for ML forecasting and driver attribution, including problem framing, driver selection, success metrics, and release acceptance; solutions built and operationalized in partnership with ST Data Science teams
Lead cross-functional pods focused on high-impact decision science use cases, ensuring insights translate into executive action and sustained business value
Define the enterprise BI strategy for CFO dashboards, performance storytelling, and automated insights
Own business logic governance and semantic consistency to ensure consistent business logic across forecasting, reporting, and analytics
Establish and govern pod-based ways of working, including decision rights, cadence, prioritization, and success metrics across Finance, ST, Enterprise Systems, and Analytics teams
Represent Finance needs and decision priorities in enterprise forums, own business stewardship for definitions, metrics, and data quality acceptance
Own business governance for definitions, metric stewardship, quality acceptance, and tool rationalization from a user/value lens
Represent CFP&A business needs and stewardship priorities in enterprise forums
Qualification
Required
10+ years in Decision or Data Science, Technical Product Management, Data/Analytics leadership, or Finance Technology transformation roles
Demonstrated ability to define product strategy and deliver large-scale, cross-functional technology programs
Strong understanding of modern data platforms (Databricks, Azure), semantic layer concepts, and data modeling principles
Experience with planning systems, forecasting engines, BI platforms, or financial data products
Exceptional communication skills and ability to translate between business, finance, engineering, and executive audiences
Preferred
Experience working with financial datasets, forecasting models, or enterprise planning tools as a business owner or steward
Familiarity with ML/AI concepts and operationalizing advanced analytics in business environments (business product ownership preferred)
Familiarity with SQL/Python, Databricks, PowerBI and experience partnering with technical teams (Data Engineering, Data Science, Architecture)
Experience leading teams focused on business product management, data stewardship, and cross-functional adoption
Background influencing enterprise data governance, metric stewardship, and business requirements for tool/platform selection
Benefits
Medical
Dental
Vision
Basic and supplemental life insurance
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
Participation in a 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
Company
Starbucks
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items.
H1B Sponsorship
Starbucks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (208)
2024 (127)
2023 (130)
2022 (172)
2021 (146)
2020 (149)
Funding
Current Stage
Public CompanyTotal Funding
$2.65BKey Investors
Elliott Management Corp.Pershing Square Capital Management
2025-05-06Post Ipo Debt· $1.75B
2024-07-19Post Ipo Equity
2018-10-10Post Ipo Equity· $900M
Recent News
2026-01-11
Company data provided by crunchbase