Director, Enterprise Architecture

• Define and maintain enterprise architecture vision, principles, standards, and target-state roadmaps
• Ensure architectural alignment across Compute Foundation services, platform components, and product-facing capabilities
• Drive architectural consistency across developer platforms, shared services, APIs, and internal tooling
• Support use of cloud-native, platform-oriented, and service-based architectures
• Own enterprise reference architectures, standards, and guardrails for platform and AI capabilities; partner with Solution Architects and delivery teams who design and implement project-specific solutions using these patterns

• Lead architectural strategy for AI/ML and Generative AI across HERE, including: Data platforms and pipelines Model integration and inference services Model lifecycle management Responsible AI, governance, and compliance
• Data platforms and pipelines
• Model integration and inference services
• Model lifecycle management
• Responsible AI, governance, and compliance
• Define reference architectures and reusable patterns for AI-enabled workflows, agentic systems, and automation
• Partner with platform engineering, security, privacy, and data teams to ensure AI systems are secure, scalable, compliant, and observable
• Establish patterns for agent orchestration, tool access governance, human-in-the-loop controls, auditability, and security protections (e.g., prompt injection and data exfiltration controls) for action-taking AI systems
• Define and govern the end-to-end AI/GenAI lifecycle, including LLMOps/MLOps, evaluation, observability, incident response, and model/prompt/version controls
• Define enterprise patterns for retrieval and knowledge systems (RAG), including content curation, lineage, freshness, semantic access controls, and integration with systems of record.
• Partner with FinOps to define cost attribution and budgets for AI workloads (token economics, model routing, usage caps), ensuring predictable unit economics at scale

• Define the EA engagement model, decision thresholds, and governance routes to ensure architecture accelerates delivery while managing risk
• Chair or actively participate in architecture review boards and technical governance forums
• Guide build/buy/partner decisions for major platforms, AI capabilities, and foundational technologies
• Balance speed and innovation with long-term sustainability, cost (CPM), and operational efficiency
• Chair or actively participate in architecture review boards and technical governance forums
• Guide build/buy/partner decisions for major platforms, AI capabilities, and foundational technologies
• Balance speed and innovation with long-term sustainability, cost (CPM), and operational efficiency

• Define and track key metrics such as: Platform and service adoption Architecture health and technical debt AI utilization and productivity impact Cost efficiency (CPM) and operational scalability
• Platform and service adoption
• Architecture health and technical debt
• AI utilization and productivity impact
• Cost efficiency (CPM) and operational scalability
• Drive continuous improvement initiatives to enhance developer experience, delivery speed, and platform reliability

• Strategic leadership role influencing large, business-critical platforms and shared services
• Makes decisions impacting large, strategic products or small sets of related products
• Ensures decisions are cascaded through impacted engineering teams and product owners
• Drives fundamental innovation that may result in entirely new products or significant changes to existing products

• Leadership role with people management responsibilities
• Manages headcount, costs of team and operating costs of associated tools/services
• Accountable for architecture direction across multiple domains and platforms
• Influences significant technology investments and long-term platform evolution

• Guided by group strategy, has broad impact on the results of a major or strategic area, small sub-group, or region.
• Makes and governs architectural decisions impacting multiple HERE internal services, applications and platforms
• Ensures architectural decisions are cascaded to architects, engineers, and product teams and executed effectively
• Drives foundational innovation that enables new AI-driven capabilities and platform differentiation
• Acts as a primary architectural advocate in portfolio planning and strategic initiatives
• 15+ years of related experience with a Bachelor’s degree; or 12+ years and a Master’s degree; or a PhD with 8+ years experience; or equivalent experience.
• Leading AI transformation and evolving Enterprise Architecture into a high impact function
• Defining and executing enterprise-scale architecture strategies
• Strong background in cloud platforms, distributed systems, DevOps, and platform engineering
• Demonstrated leadership in AI/ML and Generative AI architectures, including governance and responsible AI practices
• Experience working closely with product management, engineering, security, finance, and operations
• Ability to influence senior technical and business leaders through clear, pragmatic, and outcome-focused architecture
• Experience operating in large-scale, global, multi-product environments

• Medical, dental, and vision insurance
• Retirement savings plans
• Paid time off and leave programs

HERE Technologies is a location data and technology platform company.

We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see.

We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives.

If you are inspired by an open world and driven to create positive change, join us.

Learn more about us.

Watch Video