{"id":1984864,"url":"https://alion.io/job/hoya-vision-care-enterprise-data-architect","title":"Enterprise Data Architect","company":{"id":450913,"name":"HOYA Vision Care","domain":"hoyavision.com","url":"https://alion.io/company/hoya-vision","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":77,"open_postings":11,"ghost_share":0,"stale_share":0.909,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lewisville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":239000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false}],"status":"live","first_seen_at":"2026-10-07T01:45:59Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-26T14:34:08Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Position Purpose\nThe Enterprise Data Architect (EDA) is responsible for establishing and advancing HOYA Vision Care's enterprise data architecture strategy, governance framework, and data management capabilities. This role provides architectural leadership across Data Governance, Master Data Management (MDM), Data Warehousing, Data Fabric, Data Integration, Analytics, and Information Architecture, developing target-state architectures and roadmaps that align with business objectives. The EDA partners with business leaders, architects, technical teams, vendors, and global stakeholders to drive enterprise data initiatives, ensure consistent adoption of standards, and deliver measurable business outcomes through influence and collaboration. Serving as the primary liaison between HOYA Group Digital, Global Vision Care teams, and regional organizations, the EDA ensures enterprise and regional requirements are aligned while maintaining a future-ready data ecosystem that supports analytics, machine learning, Generative AI, and Agentic AI capabilities.\nPrimary Responsibilities & Key Accountabilities \nEnterprise Data Strategy\nDefine and evolve the enterprise data strategy, ensuring alignment with business objectives and enterprise architecture.\nDevelop multi-year roadmaps and target-state architectures across governance, MDM, data warehousing, integration, analytics, and information management.\nDrive improvements in data quality, accessibility, consistency, and business value.\nEnable advanced analytics, machine learning, Generative AI, Agentic AI, data products, semantic models, metadata management, and knowledge architecture.\nData Architecture Leadership\n\nEstablish and mature the enterprise data architecture practice through standards, principles, governance processes, reference architectures, and decision frameworks.\nLead architecture reviews and promote consistent adoption of data architecture standards across the organization.\nContinuously improve architecture capabilities and governance maturity.\nData Governance & Information Management\n\nProvide leadership for enterprise data governance programs.\nDefine data ownership, stewardship, quality, classification, retention, metadata, lineage, cataloging, and semantic standards.\nEnsure trusted, compliant, and AI-ready data assets through governance and quality controls.\nAdvocate for data as a strategic enterprise asset.\nMaster Data Management & Information Architecture\n\nDefine enterprise information architecture, business data domains, and MDM strategy.\nEstablish authoritative data sources, ownership models, and master data processes.\nStandardize business definitions, terminology, semantic models, and knowledge structures to support analytics, automation, and AI.\nFuture-State Data Platforms\nAssess current-state data environments and define future-state architectures.\nLead data warehouse modernization and Data Fabric initiatives.\nSimplify the data landscape, improve interoperability, and evaluate emerging technologies.\nDefine architecture for data products, Data Mesh principles, AI workloads, data observability, reliability, metadata, and knowledge management.\nArchitecture Oversight & Advisory\n\nProvide strategic architecture guidance to solution teams, engineers, architects, and vendors.\nEstablish reusable integration, data exchange, quality, and information management patterns.\nEnsure AI, analytics, and machine learning solutions align with security, governance, interoperability, and responsible data use standards.\nStakeholder Engagement & Program Execution\n\nLead enterprise data initiatives through governance, collaboration, and influence.\nBuild strong relationships with business leaders, data owners, technical teams, vendors, and global stakeholders.\nManage risks, dependencies, architectural decisions, milestones, and executive communications.\nFacilitate workshops, governance forums, and architecture reviews to drive alignment and execution.\nGlobal & Regional Collaboration\nPartner with HOYA Group Digital and regional teams to align data architecture standards, governance, and roadmaps.\nTranslate enterprise standards into regional implementations while addressing local business needs.\nPromote best practice sharing, cross-regional collaboration, and support global transformation initiatives.\nAct as a two-way liaison between HOYA Group Digital, Global Vision Care teams, and regional organizations, ensuring regional insights and requirements actively influence future standards and architectural direction.\nCompliance & Sustainability\n\nEnsure data architectures comply with industry regulations, governance requirements, and sustainability objectives.\nDesign energy-efficient, resource-optimized data platforms in collaboration with infrastructure teams.\nMonitor emerging technologies and support sustainability reporting and compliance efforts.\nKey Accountabilities\nEnterprise Data Strategy\nData Architecture Governance\nData Governance\nMaster Data Management (MDM)\nEnterprise Data Warehouse (EDW)\nData Fabric and Data Integration\nInformation Architecture and Data Standards\nStrategic Data Initiative Leadership\nAI-Ready Data Architecture and Enterprise Data Enablement\nQualifications\nRequired\nBachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or related discipline.\n8+ years of experience in Data Architecture, Enterprise Architecture, Information Architecture, Data Management, or related disciplines.\nDemonstrated experience developing enterprise data strategies and roadmaps.\nExperience leading Data Governance, MDM, Data Warehouse, or enterprise data transformation initiatives.\nStrong understanding of modern data architecture concepts including Data Warehousing, Data Lakes, Data Fabric, API-based integration, event-driven architecture, governance, and analytics platforms.\nExperience facilitating architecture governance and architecture review processes.\nExcellent communication, stakeholder management, and facilitation skills.\nDemonstrated ability to influence organizational decisions without direct authority.\nAbility to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public\nExperience establishing or maturing a Data Architecture practice.\nExperience in manufacturing, supply chain, distribution, or global enterprise environments.\nExperience enabling analytics, machine learning, Generative AI, or knowledge-driven solutions through enterprise data architecture, metadata, lineage, and governance capabilities.\nExperience with Microsoft Azure data services and modern cloud data platforms.\nFamiliarity with LeanIX and enterprise architecture repositories.\nCertifications such as CDMP, TOGAF, Microsoft Azure Data certifications, or equivalent.\nMaintain an approved enterprise data strategy and roadmap.\nEstablish and operate formal Data Architecture governance processes.\nAdvance Data Governance maturity across the organization.\nDefine and maintain target-state architectures for MDM, Data Warehouse, Data Fabric, and Information Architecture capabilities.\nProvide regular visibility into initiative progress, risks, decisions, and dependencies.\nDemonstrate proactive stakeholder engagement and leadership across strategic data initiatives.\nDrive architectural initiatives from strategy through adoption and implementation support.\nBuild and maintain effective working relationships with HOYA Group Digital, HOYA Vision Care Global teams, and regional stakeholders.\nAdvance enterprise capabilities for metadata management, data lineage, semantic modeling, data observability, and trusted data products.\nEnsure enterprise data architecture supports high-quality, governed, and AI-ready data assets for analytics, machine learning, Generative AI, and Agentic AI initiatives.\nPreferred\nExperience establishing or maturing a Data Architecture practice.\nExperience in manufacturing, supply chain, distribution, or global enterprise environments.\nExperience enabling analytics, machine learning, Generative AI, or knowledge-driven solutions through enterprise data architecture, metadata, lineage, and governance capabilities.\nExperience with Microsoft Azure data services and modern cloud data platforms.\nFamiliarity with LeanIX and enterprise architecture repositories.\nCertifications such as CDMP, TOGAF, Microsoft Azure Data certifications, or equivalent.\nLeadership Attributes\nStrategic Mindset\nSees ahead to future possibilities and translates business strategy into long-term data architecture direction that supports enterprise goals, transformation initiatives, and sustainable business value.\nTech Savvy\nApplies broad and current expertise in data governance, information architecture, master data management, analytics, integration, metadata management, semantic modeling, and modern data platforms to establish effective architectural standards and solutions.\nDecision Quality\nMakes sound, objective, and timely decisions by balancing business priorities, technical constraints, governance requirements, and long-term sustainability considerations.\nPersuades\nCommunicates complex technical and business concepts clearly and effectively, building alignment and influencing decisions across diverse stakeholder groups without relying on formal authority.\nCollaborates\nBuilds strong relationships and partnerships across functions, departments, and organizational levels, fostering engagement, trust, and shared ownership of outcomes.\nEnsures Accountability\nTranslates strategy into actionable plans, maintains momentum across multiple initiatives, and consistently delivers commitments while focusing on measurable business outcomes.\nDrives Results\nDemonstrates initiative and ownership by proactively identifying issues, engaging stakeholders, advancing decisions, and following through to achieve objectives with minimal direction.\nManages Complexity\nAnalyzes complex business and technology challenges, identifies key dependencies and risks, and develops practical solutions that simplify processes and improve organizational effectiveness.\nNimble Learning\nAdapts quickly to changing business priorities, technologies, and market conditions while continuously expanding knowledge of data management, governance, analytics, and cloud capabilities.\nMeasures of Success\nThe Enterprise Data Architect is expected to:\nMaintain an approved enterprise data strategy and roadmap.\nEstablish and operate formal Data Architecture governance processes.\nAdvance Data Governance maturity across the organization.\nDefine and maintain target-state architectures for MDM, Data Warehouse, Data Fabric, and Information Architecture capabilities.\nProvide regular visibility into initiative progress, risks, decisions, and dependencies.\nDemonstrate proactive stakeholder engagement and leadership across strategic data initiatives.\nDrive architectural initiatives from strategy through adoption and implementation support.\nBuild and maintain effective working relationships with HOYA Group Digital, HOYA Vision Care Global teams, and regional stakeholders.\nAdvance enterprise capabilities for metadata management, data lineage, semantic modeling, data observability, and trusted data products.\nEnsure enterprise data architecture supports high-quality, governed, and AI-ready data assets for analytics, machine learning, Generative AI, and Agentic AI initiatives.","description_format":"text","description_chars":11613,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Eyewear","Optometry & Optical 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