VP, Data & AI

Servco Pacific Inc.•Honolulu, HI

2d•$176,900 - $268,900

About The Position

The VP, Data & AI leads AI strategy, adoption, and execution for Hawaii Mobility, supported by scalable enterprise architecture and trusted data. The role partners with operations and technology leaders across Hawaii Mobility, Australia Mobility, Servco Music, and the investment portfolio to guide shared AI and data priorities, influence roadmaps, and identify opportunities for shared capabilities. The position sets the AI and data vision for Hawaii Mobility, owns its AI and data investment plan and budgets, and prioritizes initiatives according to strategy, customer value, financial return, feasibility, and risk. It leads predictive and generative AI, agents, and automation from opportunity through production and workforce adoption, establishing responsible governance and measuring results against total investment. The VP leads enterprise architecture for Hawaii Mobility through the Director, Enterprise Architecture, and owns the data platform roadmap and economics across Databricks, Azure, and connected systems. The role also develops the Director, Enterprise Architecture and Director, Data Visualization, Analytics & Automation and their teams, while coordinating agreed shared capabilities with other businesses and communicating delivery, capacity, value, and risk to the Executive Committee.

Requirements

Bachelor’s or Master’s degree in a related field, or equivalent demonstrated experience.
12 or more years of experience across AI, data, architecture, or engineering, including senior leadership of multidisciplinary teams and accountability for strategy, delivery, budgets, and measurable outcomes.
Proven production delivery of predictive or generative AI, agents, and automation at scale, including adoption, reliability, responsible controls, and measurable customer and financial impact.
Experience in vertically integrated manufacturing, distribution, retail, or comparable operations, with the ability to improve core business operations while staging innovation at an adoptable pace.
Depth in enterprise architecture and governed data platforms, ideally Databricks on Azure or a comparable cloud stack, and judgment to guide pragmatic AI-first patterns and technical leaders.
Ability to connect AI opportunities to investment cases, capital and operating tradeoffs, operating performance, customer outcomes, and realized benefits.
Leadership ability to listen with humility, earn trust across frontline and executive teams, develop others, communicate decisions transparently, and align businesses through influence and shared purpose.

Nice To Haves

Experience with connected customer, vehicle, trade, finance, fulfillment, and service journeys across digital and physical touchpoints, and with distributed teams across the US and Australia.
Depth in MLOps and LLMOps, governed retrieval and tool access, agent evaluation, tracing, production monitoring, security, privacy, and unit economics.

Responsibilities

Set a clear AI and data vision for Hawaii Mobility to strengthen customer relationships and core operations and identify paths to new services.
Partner with Australia Mobility, Servco Music, and the investment portfolio on shared AI and data priorities while respecting each business’s decision rights.
Work with operators to understand their work, co-design useful tools, teach practical skills, and build governed solutions; make adoption, workforce capability, and measurable customer and operating results shared outcomes.
Own the Hawaii Mobility AI and data investment plan, capital and operating budgets, and business cases; prioritize investments by strategy, customer value, financial return, feasibility, and risk.
Set baselines and accountable owners, pace change to operational readiness, and reallocate capacity as evidence develops.
Lead predictive and generative AI, agents, and automation from opportunity through production and workforce adoption.
Sponsor reusable MLOps and LLMOps delivery patterns for governed context and tool access, evaluation, testing, release, monitoring, human handoffs, rollback, and incident learning.
Set risk-based governance informed by NIST AI RMF, its Generative AI Profile, and ISO/IEC 42001; require appropriate permissions, human oversight, traceability, and auditable decisions.
Hold teams and partners accountable for reliable production operations.
Measure revenue, margin, productivity, cost to serve, customer impact, adoption, and reliability against total investment; stop, adjust, or scale initiatives based on evidence.
Lead enterprise architecture for Hawaii Mobility through the Director, Enterprise Architecture, and guide that director in tailoring and adopting lean, leading enterprise architecture and AI-first patterns across Servco.
Own the data platform roadmap and economics across Databricks, Azure, and connected systems; ensure governed, reusable data products, quality, lineage, access, and observability.
Retain architecture decisions, code, models, and intellectual property in Servco-controlled systems.
Lead and develop the Director, Enterprise Architecture, the Director, Data Visualization, Analytics & Automation, and their teams.
Attract and grow Servco talent, delegate ownership, transfer knowledge from partners, invite feedback, and celebrate shared wins with operators.
Coordinate agreed shared capabilities and investments with Australia Mobility, music, and investments.
Build trust through transparent tradeoffs, communicate delivery, capacity, value, and risk to the Executive Committee, and keep accountability with each business leader unless otherwise agreed.