Vice President, Data & AI

Healogics, LLC.

. Define, own, and communicate the enterprise Data and AI strategy, target capabilities, operating model, roadmap, investment priorities, and success measures .

Posted 11/4/2026full-timeJacksonville • Florida • United StatesLead💰 $180,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing enterprise Data and AI strategies, including architecture, data engineering, and analytics. Proven ability to lead diverse technical teams, manage complex projects, and drive measurable business outcomes.

Highest-signal resume keywords

Enterprise Data ArchitectureData Engineering LeadershipAI Strategy DevelopmentTechnical Solution DesignData Quality Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureArtificial IntelligenceAnalyticsETL/ELTData ModelingAPIsCloud Data PlatformsGenerative AIData Pipelines

Soft Skills

Executive CommunicationCollaborative LeadershipCoaching and DevelopmentBusiness JudgmentCustomer Focus

Tools & Technologies

DatabricksData Integration ToolsMonitoring ToolsSecurity FrameworksDocumentation Standards

Industry Keywords

Data GovernanceRegulated EnvironmentSemantic LayersMetadata ManagementProduction Support

Tech Stack

Tools & technologies

CloudETL

About the role

Key responsibilities & impact

Define, own, and communicate the enterprise Data and AI strategy, target capabilities, operating model, roadmap, investment priorities, and success measures
Lead and develop the Data and AI organization across data engineering, reporting and analytics, applied AI, and solution development
Assess the organization, talent, platforms, delivery model, and portfolio and implement improvements
Serve as senior solution design and technical review authority for Data and AI initiatives
Establish and enforce architecture and engineering standards across data, integration, APIs, AI, security, privacy, testing, monitoring, documentation, deployment, and production support
Translate enterprise and business strategies into a prioritized Data and AI portfolio
Partner with executives and business leaders to identify high-value opportunities and define desired outcomes
Own enterprise reporting and analytics strategy, including semantic models, business definitions, metrics, data quality, and reusable data products
Provide strategic and architectural oversight of the enterprise data platform and Databricks roadmap
Guide applied AI strategy, architecture, and delivery, including generative AI, agents, retrieval-augmented generation, model and vendor selection, evaluation, responsible AI, security, and production readiness
Govern build, buy, partner, and reuse decisions and evaluate technology and vendor options
Develop technical leaders and builders through direction, coaching, design challenge, and accountability
Communicate strategy, priorities, architecture decisions, trade-offs, risks, progress, and recommendations to executives and stakeholders
Manage budgets, vendors, implementation partners, and external resources
Perform other duties as required

Requirements

What you’ll need

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 in leadership roles
Experience defining and executing enterprise Data and AI strategies, roadmaps, operating models, and investment priorities
Significant hands-on experience as a software engineer, data engineer, data architect, solution architect, or similarly technical practitioner
Experience designing or providing technical leadership for modern enterprise data architectures
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 production support, adoption, and measurable value
Experience operating in a complex, regulated environment
Deep knowledge of enterprise data architecture, data modeling, dimensional modeling, semantic layers, data pipelines, ETL/ELT, APIs, 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 and guide teams toward practical, sustainable solutions
Strong business and commercial judgment, including build-versus-buy evaluation
Strong executive presence and communication skills
Ability to work at both executive and technical levels
Ability to organize, lead, coach, and develop diverse technical teams
Collaborative leadership style with confidence to challenge teams, stop low-value work, resolve priorities, and hold leaders accountable
Customer-focused orientation and commitment to measurable business and clinical outcomes

Benefits

Comp & perks

Meaningful work supporting patients’ lives
Compensation for employee service
Remote or hybrid work arrangement