{"id":1184704,"url":"https://alion.io/job/dominos-director-data-platform-engineering","title":"Director, Data Platform Engineering","company":{"id":13723,"name":"Dominos","domain":"dominos.com","url":"https://alion.io/company/dominos","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ann Arbor, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":193000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":66},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Incident Management","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-24T14:11:09Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T20:06:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Domino’s is a purpose-inspired, performance-driven company powered by exceptional people who are committed to feeding the power of possible-one pizza at a time. Founded in 1960 as a single store in Ypsilanti, Michigan, Domino’s has grown into the largest pizza company in the world, with more than 22,300 stores across 90+ markets. Our success is built on the strength of our people, technology, and franchise system. As a leader in innovation, we continue to transform the pizza and QSR industry while creating opportunities for team members to learn, grow and thrive. If you're ready to make an impact, build a meaningful career and help shape what's next, there's a place for you at Domino's.\n The Director, Data & AI - Data Engineering & Platforms is responsible for defining, refining and executing Domino's enterprise data strategy, data platform roadmap, and data engineering operating model. This leader oversees enterprise data platforms, data engineering, enterprise data products, data quality engineering, data base administration, and data operations capabilities that enable trusted, scalable, and secure data across the organization.\nThis role leads the teams responsible for designing, building, operating, and continuously improving the data foundations that power analytics, reporting, operational systems, predictive AI, and generative AI solutions. Working closely with business and technology stakeholders, the Director ensures Domino's data assets are reliable, discoverable, and ready to support growing enterprise demand for data-driven decision making.\nResponsibilities\nStrategy & Leadership\nDefine and evolve the enterprise data platform, engineering, and operations strategy.\nDevelop and manage a multi-year roadmap aligned to business priorities and technology modernization goals.\nDrive a data-as-a-product culture focused on trusted, reusable, and business-aligned data assets.\nServe as a trusted advisor to senior business and technology leaders on data platform investments and capabilities.\nEstablish goals, operating metrics, and performance measures that drive continuous improvement and business value.\nData Engineering & Platforms\nLead the strategy, architecture, and operation of Domino's enterprise data platforms and engineering capabilities.\nEstablish standards for reliability, scalability, performance, security, availability, and cost optimization.\nLead the design and delivery of scalable batch, streaming, and real-time data solutions.\nDrive engineering best practices across data modeling, software development, testing, CI/CD, automation, and observability.\nEvaluate and adopt emerging technologies that improve engineering productivity, platform capabilities, and operational effectiveness.\nEnterprise Data Products\nOwn the enterprise data product strategy and roadmap for foundational data assets consumed across the organization.\nEstablish standards for data product ownership, lifecycle management, reliability, discoverability, and operational support.\nPartner with analytics, application, and business teams to develop reusable and scalable enterprise data products.\nEnable self-service analytics and data consumption through consistent, trusted, and well-documented data assets.\nMeasure success through adoption, quality, reliability, and business impact.\nData Foundations for Analytics & AI\nEnsure enterprise data platforms and data products provide trusted data foundations for analytics, predictive AI, and generative AI solutions.\nDevelop and operate feature-serving capabilities that support machine learning and predictive modeling workloads.\nDevelop and operate context-serving capabilities that support enterprise knowledge retrieval and generative AI experiences.\nPartner with Data Science, AI Engineering, Architecture, and Analytics teams to support evolving data consumption patterns.\nDrive investments in metadata, lineage, observability, and data quality that improve trust in downstream analytics and AI solutions.\nData Quality & Operations\nLead the Data Quality Engineering and Data Operations functions.\nEstablish enterprise standards for monitoring, validation, reconciliation, issue management, and operational support.\nDrive operational excellence through incident management, root cause analysis, automation, and continuous improvement.\nDefine and monitor service levels, operational KPIs, and platform health metrics.\nPartner with business governance, security, compliance, and analytics stakeholders to ensure platforms support approved enterprise policies, business definitions, and regulatory requirements.\nPeople Leadership\nBuild, lead, and develop a high-performing organization of managers, engineers, and technical specialists.\nFoster a culture of ownership, accountability, collaboration, and technical excellence.\nRecruit, retain, and develop top talent while creating clear career growth opportunities.\nManage team budgets, resource allocation, vendor relationships, and strategic investments.\nPromote continuous learning and adoption of modern engineering practices across the organization.\n Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.\n10+ years of experience in data engineering, data platforms, cloud data technologies, or enterprise data management.\n5+ years of leadership experience managing engineering, platform, or technology teams.\nProven experience building and operating enterprise-scale data platforms and data products.\nStrong expertise with cloud-based data platforms, modern data architecture patterns, and large-scale distributed data processing.\nExperience leading data quality, operational support, and platform reliability initiatives.\nStrong communication and stakeholder management skills with the ability to influence across technical and business audiences.\nDemonstrated ability to translate business objectives into scalable technology solutions and roadmaps.\nPreferred Qualifications\nExperience leading enterprise data modernization or cloud transformation initiatives.\nExperience enabling advanced analytics, feature serving for predictive AI, and context serving for generative AI solutions.\nFamiliarity with modern lakehouse architectures, data product operating models, and DataOps practices.\nCloud and data platform certifications.\nExperience in retail, restaurant, digital commerce, or other high-volume consumer-focused industries.\n Benefits:\nPaid Holidays and Vacation \nMedical, Dental & Vision benefits that start on the first day of employment\nNo-cost mental health support for employee and dependents\nChildcare tuition discounts\nNo-cost fitness, nutrition, and wellness programs \nFertility benefits\nAdoption assistance\n401k matching contributions \n15% off the purchase price of stock \nCompany bonus\nAll your information will be kept confidential according to EEO guidelines.","description_format":"text","description_chars":6861,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["401k plan","Continuous learning","Growth opportunities","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & Beverages","Brewing & Beer"],"lifecycle":[{"event":"open","at":"2026-09-24T14:35:48Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-09-24T22:48:14Z"},"pay":null,"html_url":"https://alion.io/job/dominos-director-data-platform-engineering","json_url":"https://alion.io/job/dominos-director-data-platform-engineering.json","meta":{"generated_at":"2026-09-24T22:48:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1018,"day_limit":5000,"remaining_today":3982,"minute_limit":60,"resets_at":"2026-09-25T00:00:00Z"}}}