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Servco

Diversified auto, financial, and industrial group

Director Enterprise Architecture

IT OperationsConfirmed live in the last 24 hours
Full-timeHonolulu, HI, USA$137.3k - $208.7k /yrIn-person

About the Job

Requirements

  • A bachelor's or master's degree in a related field, or equivalent demonstrated experience.
  • 10–15 years of enterprise architecture experience, with hands-on depth across application, integration, data, and process architecture, and the ability to connect these domains to business capabilities, AI, and infrastructure.
  • Production AI and automation architecture experience, including MLOps and LLMOps, governed tools and data, evaluation, observability, security, reliability, cost, and measurable business impact.
  • Proven work in vertically integrated manufacturing, distribution, retail, automotive, or adjacent operations, and the ability to connect strategy, customer and operator needs, target designs, and practical transition plans.
  • Strong systems thinking and first-principles problem solving: tracing end-to-end causes, challenging inherited assumptions, simplifying designs, and balancing customer experience, operating realities, security, resilience, and cost.
  • Ability to guide cloud modernization and lean architecture decisions with engineers and operators.
  • Ability to listen with humility, explain tradeoffs clearly, develop architects and delivery teams, and help operators adopt change at a realistic pace.

Responsibilities

  • Translate Servco Digital Strategy principles of Omnichannel Integration, Datafication, and Tech Modernization into connected customer journeys, governed 360 data, and simplified, open, cloud-native target architectures; keep reference patterns small, actionable, and informed by production learning.
  • Apply Problem Led, Highly Automated, and Talent Driven principles with operations and technology teams; use risk-tiered reviews, brief decision records, supported build paths, and local decisions within guardrails, staging changes to match operational readiness.
  • Listen to frontline teams and leaders; map customer journeys, business processes, capabilities, and system dependencies across sales, service, and fulfillment; use systems thinking and first principles to find root constraints, test assumptions, and design practical transitions; advise the VP, Data & AI on tradeoffs and outcomes.
  • Design how predictive AI, generative AI, agents, and automation fit operational workflows; set reusable patterns for model choice, governed retrieval and context, scoped tool and API access, agent orchestration, human handoffs, and integration with enterprise applications.
  • Architect identity, permissions, approval points, traceability, evaluation, monitoring, fallback, and recovery for AI-assisted decisions; turn NIST AI RMF, its Generative AI Profile, and ISO/IEC 42001 concepts into practical risk controls.
  • Establish MLOps and LLMOps patterns from experiment to production, including versioned data, models, prompts, and tools; automated tests and releases; offline and live evaluation; tracing, drift and safety monitoring, rollback, and iteration; track quality, latency, cost, adoption, and business outcomes.
  • Shape application and integration architecture across APIs, events, services, and the system portfolio, linking discovery, vehicle inventory, trade, financing, sales, logistics, delivery, service, and support; connect process changes and data flows across digital and in-person touchpoints.
  • Define shared customer identity and consent, vehicle, inventory, transaction, service, and finance data models and contracts; guide trusted 360 data products and Databricks/Azure architecture with ownership, quality, lineage, privacy, access, and semantic definitions; partner with Technology Infrastructure & Security on resilience and cost.
  • Lead and develop the Data & AI Architect and align engineers and delivery teams through practical design reviews; pair with operators to test patterns in real work, teach rather than prescribe, invite feedback, share credit, and turn successful designs into supported build paths.
  • Partner with architecture and technology leaders across Australia mobility, music, and investments on compatible patterns and reusable solutions while respecting each business's decision rights; communicate dependencies, risks, costs, and choices clearly to business and technical leaders.

Desired Qualifications

  • Databricks and Azure experience, including Unity Catalog, Delta Lake, and lakehouse patterns, and experience with connected omnichannel retail and customer journeys.
  • Experience influencing shared architecture across the United States and Australia and applying responsible AI guidance to production decisions.

About the Company

Servco

Diversified auto, financial, and industrial group

Servco is a family-owned, diversified company based in Hawaiʻi operating for over a century. Its segments include automotive retail and distribution, Hui car-sharing, Fender musical instrument distribution, Servco Pacific Capital financial services, and forklift and industrial equipment sales. What sets Servco apart is pairing century-long family ownership with a broad, multi-industry portfolio across the Pacific. The goal is to serve Hawaiʻi and global communities through quality products, strong relationships, and community investment.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Honolulu, HI
Founded
1919

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