Director, Enterprise Architecture

HERE Technologies•Burlington, MA

1d•$195,000 - $270,000•Remote

About The Position

The Director, Enterprise Architecture plays a pivotal role within HERE’s Compute Foundation organization, leading the definition and evolution of enterprise-wide architectural strategy that underpins our AI ambitions and Enterprise business goals. This role oversees a small team of Enterprise Architects responsible for shaping coherent architectures across cloud platforms, developer enablement, corporate and employee applications as well as AI capabilities across these areas. The Director ensures that HERE’s technology landscape advances in a way that offloads complexity from engineering teams and employees, enabling them to move faster, while maintaining architectural consistency, reusability, and cost efficiency across horizontals. The EA team partners with Solution Architects, Software Architects and engineering teams who design and implement project-specific solutions using these patterns, ensuring consistency and faster execution at scale. This role owns enterprise reference architectures, standards, and guardrails for AI capabilities across cloud platforms, developer enablement, corporate/employee applications, and shared services. The role defines and governs the end-to-end AI/GenAI lifecycle—including LLMOps/MLOps, evaluation, observability, and model/prompt/version controls—so AI systems are production-ready and measurable. It establishes guardrails for agentic systems (orchestration, tool access governance, human-in-the-loop controls, and auditability) and partners with Security, Privacy, and Data teams to ensure compliance-by-design. Success is measured by adoption, reduced technical debt, improved developer experience and delivery speed, and predictable cost efficiency for both cloud and AI workloads. A core focus of this role is enabling HERE’s AI journey—ensuring that AI, data platforms and automation are architected, governed, and operationalized to deliver measurable improvements in productivity, reliability, and customer value for both HERE customers and internal teams.

Requirements

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

Responsibilities

Lead, coach, and develop a high-performing Enterprise Architecture team aligned to HERE’s platform and product strategy
Establish Enterprise Architecture as a strategic partner to Engineering, Product Management, and Platform Engineering leadership
Contribute to the advancement of architectural and technical leadership practices across HERE R&D
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
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
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
Drive continuous improvement initiatives to enhance developer experience, delivery speed, and platform reliability