Enterprise Data Architect

Position Purpose

The 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.

Primary Responsibilities & Key Accountabilities

Enterprise Data Strategy

• Define and evolve the enterprise data strategy, ensuring alignment with business objectives and enterprise architecture.
• Develop multi-year roadmaps and target-state architectures across governance, MDM, data warehousing, integration, analytics, and information management.
• Drive improvements in data quality, accessibility, consistency, and business value.

• Enable advanced analytics, machine learning, Generative AI, Agentic AI, data products, semantic models, metadata management, and knowledge architecture.

  Data Architecture Leadership

• Establish and mature the enterprise data architecture practice through standards, principles, governance processes, reference architectures, and decision frameworks.
• Lead architecture reviews and promote consistent adoption of data architecture standards across the organization.

• Continuously improve architecture capabilities and governance maturity.

  Data Governance & Information Management

• Provide leadership for enterprise data governance programs.
• Define data ownership, stewardship, quality, classification, retention, metadata, lineage, cataloging, and semantic standards.
• Ensure trusted, compliant, and AI-ready data assets through governance and quality controls.

• Advocate for data as a strategic enterprise asset.

  Master Data Management & Information Architecture

• Define enterprise information architecture, business data domains, and MDM strategy.
• Establish authoritative data sources, ownership models, and master data processes.
• Standardize business definitions, terminology, semantic models, and knowledge structures to support analytics, automation, and AI.

Future-State Data Platforms

• Assess current-state data environments and define future-state architectures.
• Lead data warehouse modernization and Data Fabric initiatives.
• Simplify the data landscape, improve interoperability, and evaluate emerging technologies.

• Define architecture for data products, Data Mesh principles, AI workloads, data observability, reliability, metadata, and knowledge management.

  Architecture Oversight & Advisory

• Provide strategic architecture guidance to solution teams, engineers, architects, and vendors.
• Establish reusable integration, data exchange, quality, and information management patterns.

• Ensure AI, analytics, and machine learning solutions align with security, governance, interoperability, and responsible data use standards.

  Stakeholder Engagement & Program Execution

• Lead enterprise data initiatives through governance, collaboration, and influence.
• Build strong relationships with business leaders, data owners, technical teams, vendors, and global stakeholders.
• Manage risks, dependencies, architectural decisions, milestones, and executive communications.
• Facilitate workshops, governance forums, and architecture reviews to drive alignment and execution.

Global & Regional Collaboration

• Partner with HOYA Group Digital and regional teams to align data architecture standards, governance, and roadmaps.
• Translate enterprise standards into regional implementations while addressing local business needs.
• Promote best practice sharing, cross-regional collaboration, and support global transformation initiatives.

• Act 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.

  Compliance & Sustainability

• Ensure data architectures comply with industry regulations, governance requirements, and sustainability objectives.
• Design energy-efficient, resource-optimized data platforms in collaboration with infrastructure teams.
• Monitor emerging technologies and support sustainability reporting and compliance efforts.

Key Accountabilities

• Enterprise Data Strategy
• Data Architecture Governance
• Data Governance
• Master Data Management (MDM)
• Enterprise Data Warehouse (EDW)
• Data Fabric and Data Integration
• Information Architecture and Data Standards
• Strategic Data Initiative Leadership
• AI-Ready Data Architecture and Enterprise Data Enablement

Qualifications

Required

• Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or related discipline.
• 8+ years of experience in Data Architecture, Enterprise Architecture, Information Architecture, Data Management, or related disciplines.
• Demonstrated experience developing enterprise data strategies and roadmaps.
• Experience leading Data Governance, MDM, Data Warehouse, or enterprise data transformation initiatives.
• Strong understanding of modern data architecture concepts including Data Warehousing, Data Lakes, Data Fabric, API-based integration, event-driven architecture, governance, and analytics platforms.
• Experience facilitating architecture governance and architecture review processes.
• Excellent communication, stakeholder management, and facilitation skills.
• Demonstrated ability to influence organizational decisions without direct authority.
• Ability 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
• Experience establishing or maturing a Data Architecture practice.
• Experience in manufacturing, supply chain, distribution, or global enterprise environments.
• Experience enabling analytics, machine learning, Generative AI, or knowledge-driven solutions through enterprise data architecture, metadata, lineage, and governance capabilities.
• Experience with Microsoft Azure data services and modern cloud data platforms.
• Familiarity with LeanIX and enterprise architecture repositories.
• Certifications such as CDMP, TOGAF, Microsoft Azure Data certifications, or equivalent.
• Maintain an approved enterprise data strategy and roadmap.
• Establish and operate formal Data Architecture governance processes.
• Advance Data Governance maturity across the organization.
• Define and maintain target-state architectures for MDM, Data Warehouse, Data Fabric, and Information Architecture capabilities.
• Provide regular visibility into initiative progress, risks, decisions, and dependencies.
• Demonstrate proactive stakeholder engagement and leadership across strategic data initiatives.
• Drive architectural initiatives from strategy through adoption and implementation support.
• Build and maintain effective working relationships with HOYA Group Digital, HOYA Vision Care Global teams, and regional stakeholders.
• Advance enterprise capabilities for metadata management, data lineage, semantic modeling, data observability, and trusted data products.
• Ensure enterprise data architecture supports high-quality, governed, and AI-ready data assets for analytics, machine learning, Generative AI, and Agentic AI initiatives.

Preferred

• Experience establishing or maturing a Data Architecture practice.
• Experience in manufacturing, supply chain, distribution, or global enterprise environments.
• Experience enabling analytics, machine learning, Generative AI, or knowledge-driven solutions through enterprise data architecture, metadata, lineage, and governance capabilities.
• Experience with Microsoft Azure data services and modern cloud data platforms.
• Familiarity with LeanIX and enterprise architecture repositories.
• Certifications such as CDMP, TOGAF, Microsoft Azure Data certifications, or equivalent.

Leadership Attributes

Strategic Mindset

Sees ahead to future possibilities and translates business strategy into long-term data architecture direction that supports enterprise goals, transformation initiatives, and sustainable business value.

Tech Savvy

Applies 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.

Decision Quality

Makes sound, objective, and timely decisions by balancing business priorities, technical constraints, governance requirements, and long-term sustainability considerations.

Persuades

Communicates complex technical and business concepts clearly and effectively, building alignment and influencing decisions across diverse stakeholder groups without relying on formal authority.

Collaborates

Builds strong relationships and partnerships across functions, departments, and organizational levels, fostering engagement, trust, and shared ownership of outcomes.

Ensures Accountability

Translates strategy into actionable plans, maintains momentum across multiple initiatives, and consistently delivers commitments while focusing on measurable business outcomes.

Drives Results

Demonstrates initiative and ownership by proactively identifying issues, engaging stakeholders, advancing decisions, and following through to achieve objectives with minimal direction.

Manages Complexity

Analyzes complex business and technology challenges, identifies key dependencies and risks, and develops practical solutions that simplify processes and improve organizational effectiveness.

Nimble Learning

Adapts quickly to changing business priorities, technologies, and market conditions while continuously expanding knowledge of data management, governance, analytics, and cloud capabilities.

Measures of Success

The Enterprise Data Architect is expected to:

• Maintain an approved enterprise data strategy and roadmap.
• Establish and operate formal Data Architecture governance processes.
• Advance Data Governance maturity across the organization.
• Define and maintain target-state architectures for MDM, Data Warehouse, Data Fabric, and Information Architecture capabilities.
• Provide regular visibility into initiative progress, risks, decisions, and dependencies.
• Demonstrate proactive stakeholder engagement and leadership across strategic data initiatives.
• Drive architectural initiatives from strategy through adoption and implementation support.
• Build and maintain effective working relationships with HOYA Group Digital, HOYA Vision Care Global teams, and regional stakeholders.
• Advance enterprise capabilities for metadata management, data lineage, semantic modeling, data observability, and trusted data products.
• Ensure enterprise data architecture supports high-quality, governed, and AI-ready data assets for analytics, machine learning, Generative AI, and Agentic AI initiatives.