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director, engineering – Data Governance & AI Experience
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director, engineering – Data Governance & AI Experience

Starbucks -
Seattle, WA

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Job Details

Full-time
$208,300 - $362,600 a year
6 days ago

Qualifications

Software engineering
Cloud infrastructure
Scalable systems
Managing data teams
Enterprise software systems development
Managing engineering teams
Scalability
Real-time data processing implementation
Batch data processing
Project stakeholder communication
Cross-functional communication
Metadata management
Senior leadership
Metadata creation
Stakeholder management

Full Job Description

Now Brewing – director, engineering (Data Governance & AI Experience)

From the beginning, Starbucks set out to be a different kind of company—one that celebrates connection and innovation. We’re looking for a Director of Engineering to lead the next generation of enterprise data platforms and AI-ready systems, shaping how data is governed, discovered, and activated across the company.

This role will define and scale critical capabilities across data governance, catalog, semantic layer, metadata, and AI data readiness, powering intuitive, self-serve experiences such as natural language to SQL and data exploration.

You’ll lead a multi-layered engineering organization (engineering managers, data engineers, ML engineers, and contractors) to deliver high-impact, scalable platforms that unify data, AI, and user experience.

As a director, engineering, you will…

Governance & Architecture Leadership

Own the vision, architecture, and execution of enterprise data platform capabilities, including:
- Data governance & stewardship frameworks
- Enterprise data catalog & discovery
- Semantic layer and context modeling
- Metadata management & lineage systems
- AI-ready data pipelines and feature readiness
Build a cohesive data & AI experience layer enabling self-serve analytics and intelligent applications
Drive development of natural language to SQL and conversational data interfaces

AI & Data Experience Innovation

Enable agent-driven and AI-assisted data interactions, accelerating decision-making across partners and leadership
Partner with data science teams to operationalize ML-ready datasets, feature stores, and experimentation platforms
Modernize data access patterns to support self-service at scale while maintaining governance and trust

Engineering Execution & Scale

Lead multiple engineering managers and distributed teams (onshore/offshore, FTE + contract)
Drive delivery of scalable, reliable platforms supporting enterprise-wide data usage
Establish engineering standards for performance, reliability, observability, and data quality

Governance, Trust & Compliance

Operationalize data governance policies, controls, and standards across all platforms
Ensure alignment with privacy, security, and regulatory requirements
Balance self-service access with enterprise-grade data controls

Cross-Functional Leadership

Partner with data science, product, analytics, and business leaders to translate needs into scalable platform capabilities
Drive alignment across data platform, BI, and AI initiatives to reduce fragmentation
Influence senior leadership with clear articulation of technical strategy and business value

Talent & Organization

Build and scale a high-performing org of engineering managers and senior ICs
Lead globally distributed teams, including onshore/offshore engineering and vendors
Foster a culture of ownership, innovation, and continuous improvement

We’d love to hear from leaders who…

Have deep expertise in data platforms, governance, metadata, and semantic modeling
Have built self-service data ecosystems with strong adoption across business users
Understand both AI/ML lifecycle needs and enterprise data architecture
Have delivered platforms enabling natural language querying, data discovery, and analytics democratization
Can integrate fragmented data systems into unified, scalable architectures

Basic Qualifications

12+ years in data/platform/software engineering
5+ years leading engineering managers and large distributed teams
Proven experience building enterprise-scale data platforms (governance, catalog, semantic layer)
Hands-on expertise with modern data stacks (cloud, batch/streaming, metadata systems)
Strong executive communication and stakeholder alignment skills

Preferred Qualifications

Experience with AI-driven data platforms, LLM-powered interfaces, or agent frameworks
Experience delivering natural language to SQL or conversational analytics solutions
Deep understanding of data governance, lineage, and compliance frameworks
Experience in retail, supply chain, or high-scale operational environments
Demonstrated track record of driving enterprise transformation and platform adoption

Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at [email protected] or 1(888) 611-2258.

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Engineering Services Director jobs

director, engineering – Data Governance & AI Experience

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