{"id":2200273,"url":"https://alion.io/job/starbucks-director-engineering-data-governance","title":"director, engineering – Data Governance","company":{"id":7439,"name":"Starbucks","domain":"starbucks.com","url":"https://alion.io/company/starbucks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":81,"open_postings":23,"ghost_share":0,"stale_share":0.957,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":169000,"max_usd":317000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2407},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Collibra","optional":true},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-06-24T01:15:18Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-15T08:18:37Z","board_verified":true,"closed_at":null,"days_open":113,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":113},"description":"Director of Engineering - Data Governance\nFrom 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 enterprise data governance transformation, making trusted, well-understood data a foundation for confident decisions and meaningful business outcomes.\nYou’ll lead a multi-layered data governance organization, and an insights and business intelligence (BI) team, connecting ownership, quality, cataloging, metadata, lineage, context and semantic layers with trusted analytics. Success depends on influencing without direct authority, building shared accountability across federated teams and making governance practical, measurable and sustainable.\nAs a director, engineering, you will…\nLead enterprise governance transformation\nEstablish an enterprise data governance maturity framework, baseline assessments and prioritized domain roadmaps. Lead execution across several cross-functional federated teams and demonstrate measurable improvement in enterprise maturity over time.\nDefine outcomes and track progress in ownership and stewardship coverage, data quality, metadata and lineage completeness, control effectiveness and adoption. Use evidence to prioritize remediation and connect governance investment to business value.\nDevelop focused data health cards that describe ownership and stewardship; quality, completeness, accuracy and freshness; lineage; metadata and business context; access and privacy constraints; and readiness gaps with accountable remediation plans.\nUse these health cards and governance controls to establish AI-ready data as a downstream outcome of trusted data foundations. Partner with consuming teams to assess fitness for intended use and address readiness gaps before data supports AI-enabled experiences.\nBuild cross-functional ownership and adoption\nPartner with business leaders, engineering, analytics, security and privacy to establish shared accountability with data domain owners and stewards. Bring partners together through governance councils to agree on priorities, decision rights, standards and issue resolution.\nInfluence without direct authority across federated teams, resolve competing priorities and secure commitment to domain roadmaps. Lead change management, communication and enablement so governance becomes part of how partners build, manage and use data.\nDevelop AI-ready platforms\nDrive development of context layers, semantic layers, enterprise data cataloging, metadata management and end-to-end lineage. Make business definitions, data relationships, ownership and permitted use discoverable and consistent across domains.\nOperationalize governance policies and controls across the data lifecycle, including classification, access, privacy, retention and quality. Partner with security and privacy teams to balance trusted self-service with enterprise protection and compliance requirements.\nLead trusted insights and BI\nLead an insights and BI team that translates business priorities into trusted reporting and actionable insights. Partner with domain owners to establish consistent metrics and governed semantic models, reducing conflicting definitions and fragmented reporting.\nExpand trusted BI and self-service through discoverable, documented and governed data products. Measure success through adoption, confidence in metrics and the business outcomes enabled by better decisions.\nScale engineering delivery and develop talent\nManage and scale a high-performing org of engineering managers and senior ICs\nLead globally distributed teams, including onshore/offshore engineering and vendors\nFoster a culture of ownership, innovation, and continuous improvement\nWe’d love to hear from leaders who…\nBasic qualifications\n12+ years of experience in data, platform or software engineering.\n5+ years of experience leading engineering managers and large distributed teams.\nDemonstrated successful leadership of enterprise data governance transformation: establishing a maturity framework, completing baseline assessments, developing domain roadmaps and delivering measurable enterprise maturity improvement with several cross-functional federated teams.\nProven experience building enterprise-scale data platforms and governance capabilities, including cataloging, metadata, lineage, stewardship, context layers and semantic modeling.\nHands-on expertise with modern cloud data stacks, batch and streaming systems, and metadata platforms; experience leading insights and BI teams to deliver consistent metrics, governed semantic models and trusted self-service.\nStrong executive communication and cross-functional leadership, including influencing without direct authority, establishing shared accountability with domain owners and stewards, and driving adoption and change management in partnership with business, engineering, security and privacy.\nPreferred qualifications\nExperience with governance, cataloging and governed data discovery tools such as Collibra, Atlan, Databricks Unity Catalog and Databricks Genie. Experience with every listed tool is not expected.\nExperience working in a multi-cloud environment\nExperience in retail, supply chain or other high-scale operational environments.\nExperience scaling governance councils and stewardship communities, with sustained adoption of governance practices and trusted analytics across business domains.\nStarbucks 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.\nQualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.\nStarbucks 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  or 1(888) 611-2258.","description_format":"text","description_chars":6158,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & Beverages","Catering & Food Services"],"lifecycle":[{"event":"open","at":"2026-10-09T21:05:48Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.289,"p_room":0.28,"age_days":113,"expected_fill_days":9,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/starbucks-director-engineering-data-governance","json_url":"https://alion.io/job/starbucks-director-engineering-data-governance.json","meta":{"generated_at":"2026-10-15T10:19:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15634,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7439},"rest":"https://alion.io/mcp/rest/get_company?id=7439"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstarbucks-director-engineering-data-governance"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstarbucks-director-engineering-data-governance"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstarbucks-director-engineering-data-governance"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/starbucks-director-engineering-data-governance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstarbucks-director-engineering-data-governance"}]}