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Director, Enterprise Data & AI Strategy

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Axogen Inc.
Full Time position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 169000 - 211000 USD Yearly USD 169000.00 211000.00 YEAR
Job Description & How to Apply Below

Axogen is committed to building and maintaining a strong and gratifying company culture that fosters professional growth. Our hands-on and personal approach makes transitioning to a new job a seamless and enjoyable process. Most benefits are effective on day one!

Axogen is an equal opportunity employer and does not discriminate against applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or veteran status.

Why you’ll love working at Axogen:
  • Friendly, open, and fun team culture that values unique perspectives
  • Company-wide dedication to profoundly impacting patients’ lives
  • Comprehensive, high-quality benefits package effective on date of hire
  • Educational assistance available for all employees
  • Matching 401(k) retirement plan
  • Paid holidays, including floating holidays, to be used at your discretion
  • Employee Stock Purchase Plan
  • Referral incentive program
Axogen Mission and Business Purpose

Our business purpose is to restore health and improve quality of life by making restoration of peripheral nerve function an expected standard of care. We aim to lead the markets we serve by always requiring the solutions we offer patients and caregivers provide an improved benefit-to-risk profile as compared to existing standards of care. To ensure we deliver improved benefit-to-risk solutions, we will guide and expect the market and design requirement specifications underlying our engineering, business development, and clinical research activities, objectively target advancements in standards of care.

Job Summary of the Director, Enterprise Data & AI Strategy

The Director, Enterprise Data & AI Strategy is a strategic, is a visionary enterprise leader responsible for defining and executing an AI strategy with global data that accelerates digital transformation, enables insightful decision-making, and drives operations excellence. This role will oversee the framework and integration of AI capabilities, enterprise data and automation to deliver that business impact shaping the organizations long term data vision and governance model.

The Director will report directly with the VP of IT, partner closely with executive leadership (in particular the Finance, to ensure data and AI investments align with strategic business goals, innovation and priorities.

Requirements of the Director, Enterprise Data & AI Strategy
  • Bachelor’s degree in computer science, Information Systems, Computer Science, Data Science, Engineering or related field; master’s degree preferred.
  • Minimum 12 years’ experience in data analytics, AI/ML, or automation roles in life sciences, biotechnology, healthcare, or manufacturing industries.
  • Minimum 8 years of management experience in leading cross-functional teams and projects.
  • Proven experience in building and scaling data teams and platforms.
  • Strong knowledge of data governance frameworks, BI tools (e.g., Power BI, Tableau), and cloud data platforms (e.g., Azure, AWS).
  • Experience building data warehouse or data marketplace and integrating data sources from multiple source systems using custom APIs, common middleware platforms, and advanced SQL.
  • Hands-on experience with AI/ML technologies, RPA tools, and building out automation frameworks.
  • Demonstrated experience in IT project management and business analysis with expertise in at least one of the following functional processes:
    Procure to Pay, Demand to Build, Order to Cash, or Financial processes.
  • Strong understanding of enterprise applications including ERP, CRM, QMS, LIMS, HRIS, etc.
  • Excellent communication skills with the ability to engage effectively with executives, business stakeholders, and technology partners.
  • Proven ability to lead teams in a data-driven manner, utilizing metrics and…
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