Vice President, Data & AI (Remote or Hybrid)

Healogics•Jacksonville, FL

About The Position

The Vice President, Data & AI defines and executes Healogics' enterprise data and artificial intelligence strategy, architecture, operating model, and roadmap. The role brings together data engineering, reporting and analytics, applied AI, and solution development into a coordinated portfolio aligned with business priorities and measurable outcomes. The Vice President serves as the Chief Information Officer's senior technical and strategic leader for Data and AI, working across executive, clinical, operational, and technology teams. This leader provides technical and architectural oversight, evaluating and challenging data and AI architectures, data models, semantic layers, pipelines, integrations, APIs, analytics solutions, and AI design patterns. The role establishes technical standards, develops the Data and AI organization, clarifies accountabilities, and manages portfolio priorities. The Vice President translates complex or ambiguous business needs into strategies, architectures, roadmaps, and solutions, and makes build, buy, partner, and reuse decisions. The position is responsible for enterprise reporting and analytics strategy and architecture, strategic oversight of the enterprise data platform and Databricks roadmap, and guidance of applied AI strategy and delivery. All Healogics employees must perform their responsibilities in accordance with Healogics and hospital policies, applicable accrediting organization standards, federal and state regulations, and Centers for Medicare and Medicaid Services guidelines.

Requirements

Bachelor's degree in computer science, engineering, information systems, data science, or a related field; equivalent relevant experience may be considered.
12+ years of progressive experience across software engineering, data engineering, data architecture, solution architecture, artificial intelligence, analytics, or related technology disciplines.
7+ years of experience in leadership roles.
Healthcare industry experience required.
Demonstrated experience defining and executing enterprise Data and AI strategies, roadmaps, operating models, and investment priorities.
Significant prior hands-on experience as a software engineer, data engineer, data architect, solution architect, or similarly technical practitioner, with the ability to remain technically current and credibly evaluate complex solution designs.
Demonstrated experience designing or providing technical leadership for modern enterprise data architectures, including data modeling, data pipelines, semantic layers, integration, analytics, and cloud data platforms.
Experience leading multiple technical capabilities or teams and developing senior technical leaders.
Experience taking data, analytics, AI, or software solutions from business problem definition through architecture, delivery, production support, adoption, and measurable value.
Deep technical knowledge of enterprise data architecture, including data modeling, dimensional modeling, semantic layers, data pipelines, ETL/ELT, APIs and integration, metadata, lineage, data quality, governance, security, analytics, and modern cloud data platforms.
Strong understanding of modern AI architecture and engineering patterns, including generative AI, large language models, retrieval-augmented generation, vector search, agents, orchestration, model evaluation, monitoring, security, and responsible AI.
Ability to conduct detailed architecture and design reviews, identify weak design patterns, unnecessary complexity, scalability and supportability concerns, and guide teams toward practical, sustainable solutions.
Ability to create strategy, define target capabilities, build actionable roadmaps, and translate direction into a prioritized portfolio and clear accountability.
Strong business and commercial judgment, including the ability to evaluate value, cost, feasibility, risk, capacity, and build-versus-buy trade-offs.
Ability to navigate ambiguous situations, identify underlying problems, develop an independent point of view, and make clear recommendations.
Strong executive presence and communication skills, including the ability to explain complex technical concepts, decisions, and risks in concise business language.
Ability to work effectively at executive and technical levels, from enterprise strategy discussions to detailed solution-design reviews.
Proven ability to organize, lead, coach, and develop diverse teams of architects, engineers, analysts, developers, and other technical professionals.
Collaborative leadership style and confidence to challenge teams, stop low-value work, resolve priorities, and hold leaders accountable for results.
Customer-focused orientation and commitment to measurable business and clinical outcomes.

Nice To Haves

Master's degree preferred.
Experience operating in a complex, regulated environment; healthcare experience preferred.
Experience with Databricks or comparable modern cloud data platforms preferred.
Knowledge of Databricks architecture and capabilities is preferred but not required.

Responsibilities

Define, own, and communicate the enterprise Data and AI strategy, target capabilities, operating model, roadmap, investment priorities, and measures of success.
Lead and develop the Data and AI organization, including data engineering, reporting and analytics, applied AI, and related solution development capabilities; clarify roles, decision rights, and accountability for outcomes.
Assess the current organization, talent, platforms, delivery model, and portfolio; recommend and implement changes to improve focus, technical quality, speed, and business value.
Serve as the senior solution-design and technical-review authority for Data and AI initiatives, evaluating architectures, data models, semantic layers, pipelines, integrations, APIs, analytics, and AI design patterns.
Challenge technical assumptions and proposed designs, identify overengineering and unnecessary custom development, and promote appropriate use of existing enterprise capabilities.
Establish and enforce architecture and engineering standards for data modeling, semantic layers, pipelines, integration, APIs, AI, security, privacy, testing, monitoring, documentation, deployment, and production support.
Translate enterprise and business strategies into a prioritized portfolio of Data and AI initiatives based on value, feasibility, risk, dependencies, cost, and team capacity.
Partner with executives and business leaders to identify high-value opportunities, clarify desired outcomes, and determine whether the response should involve data, analytics, AI, automation, application capabilities, process change, or a combination.
Own the strategy and architecture for enterprise reporting and analytics, including semantic models, common business definitions, metrics, data quality, and trusted reusable data products.
Provide strategic and architectural oversight of the enterprise data platform and Databricks roadmap, while holding Data Engineering leadership accountable for detailed architecture, engineering, implementation, reliability, performance, security, governance, and operations.
Guide applied AI solution strategy, architecture, and delivery, including generative AI, agents, retrieval-augmented generation, model and vendor selection, evaluation, responsible AI, security, and production readiness.
Make and govern build, buy, partner, and reuse decisions; evaluate technology and vendor options and align investments with enterprise architecture and sustainable support models.
Develop technical leaders and builders through direction, coaching, constructive design challenge, and accountability for technical quality and measurable business outcomes.
Communicate strategy, priorities, architecture decisions, trade-offs, risks, progress, and recommendations in clear business language to executive leadership and stakeholders.
Manage budgets, vendors, implementation partners, and external resources, ensuring delivery accountability, knowledge transfer, documentation, and sustainable internal ownership.
Perform other duties as required.