Top Healthtech Jobs in Tampa Bay, FL

Lead customer implementations and migrations of H1’s SaaS and data solutions. Own project plans, customer deliverables, KPIs, communications, and cross-functional coordination across Professional Services, Customer Success, Product, and Engineering. Improve scalable services processes, manage high-visibility initiatives, communicate technical updates, and advocate for customers while ensuring high-quality delivery and satisfaction.

Supervises compensation administration, analysis, market pricing, job evaluations, salary structures, incentive programs, compliance, and annual compensation cycles. Leads and develops the compensation team, advises HR and business leaders on pay decisions, analyzes compensation data, prepares reports, and manages compensation-related projects and process improvements. Partners with HRIS, Finance, Talent Acquisition, and HR Business Partners to support equitable, competitive, and compliant compensation practices.

Designs, implements, and maintains cloud and on‑prem network infrastructure with IaC (Terraform/CloudFormation/Ansible), supports AWS environments, builds CI/CD pipelines, authors technical documentation, troubleshoots escalations, and collaborates with Cloud Architects and product teams in a remote Agile environment.

Supports IAM operations and leads complex cross-functional identity and access initiatives from planning through implementation. Responsibilities include user provisioning, access changes, terminations, identity governance, issue escalation, QA, process improvement, documentation, stakeholder coordination, risk tracking, and executive status reporting. The role partners with security, technology, business, and operational teams while maintaining compliance with organizational policies, security requirements, and HIPAA regulations.

Own and improve Better Health’s revenue engine across lead generation, enrollment, documentation, shipment, and recurring revenue. Identify funnel bottlenecks, analyze root causes, redesign workflows, and implement AI- and automation-enabled solutions. Lead revenue operating cadence, forecasting, analytics, CRM governance, and cross-functional initiatives from hypothesis through measurable results. Partner with Sales, Marketing, Operations, RCM, Finance, Product, and Engineering while driving execution without direct authority.

Leads enterprise total rewards strategy covering compensation, benefits, retirement, well-being, governance, compliance, analytics, budgeting, vendors, and HR systems. Advises executives, oversees program design and administration, manages due diligence and acquisitions, optimizes UKG processes, and develops the Total Rewards team. Partners with Finance, Legal, Payroll, Operations, HRIS, and external vendors to support workforce attraction, retention, engagement, cost efficiency, and organizational growth.

Own and scale automated testing frameworks, expand end-to-end coverage, lead QA initiatives, and perform automation, API, mobile, and regression testing. Collaborate cross-functionally to define coverage, analyze risks, debug defects, and improve CI/CD test execution through GitHub Actions. Champion quality engineering practices across the organization while supporting web and mobile application stability.

Leads enterprise leadership and organizational development across a complex healthcare system. Assesses workforce needs, designs and evaluates learning programs, facilitates executive and leadership development, coaches leaders and teams, manages complex initiatives, and partners with senior stakeholders to improve organizational effectiveness and measurable performance outcomes.

Lead and supervise ServiceNow platform operations and a team of analysts/developers. Oversee configuration, integrations, governance, CAB, incident management, SLAs/KPIs, reporting, and continuous improvement while supporting hiring, training, and executive reporting.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.