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

JOB SUMMARY OF THE SR. MANAGER, MASTER DATA MANAGEMENT, AI, AND AUTOMATION

The Sr. Manager, Master Data Management, AI, & Automation is a strategic, hands-on leader with experience building and leading enterprise Master Data Management, AI, and Automation teams. This role will be responsible for defining and executing a comprehensive data governance strategy that enhances business intelligence, drives process automation, and delivers measurable ROI across the organization. The ideal candidate will be a visionary with deep technical expertise and a passion for transforming data into actionable insights.

REQUIREMENTS OF THE SR. MANAGER, MASTER DATA MANAGEMENT, AI, AND AUTOMATION

• Bachelor’s degree in computer science, Information Systems, Computer Science, Data Science, Engineering or related field; master’s degree preferred.
• Minimum of 10 years’ experience in data analytics, AI/ML, or automation roles in life sciences, biotechnology, healthcare, or manufacturing industries.
• At least 7 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 automation frameworks.
• Demonstrated experience in IT project management and business analysis with particular 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 project reviews.
• Familiarity with the strategic deployment of IT systems and the development of standard operating procedures for end-user training and adoption.

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.

RESPONSIBILITIES OF THE SR. MANAGER, MASTER DATA MANAGEMENT, AI, AND AUTOMATION

The specific duties of the Sr. Manager, Master Data Management, AI, and Automation include but are not limited to:

• Team Leadership and Development: Build and lead a high-performing team of data scientists, database administrators, AI/ML and automation engineers. Foster a culture of innovation, collaboration, and continuous improvement.
• Project Governance: Manages the intake of project and enhancement requests, provides initial time, resource and cost estimates, and aligns priorities with leadership and key stakeholders. Oversees the delivery of MDM, AI, and Automation projects and enhancements, ensuring they align with the company’s strategic goals and are delivered on time and within budget. Monitors project progress and takes corrective actions as needed to mitigate risks while ensuring successful outcomes.
• Data Strategy & Governance: Defines and implements enterprise-wide data governance policies, standards, and best practices. Ensure data quality, integrity, security, and compliance across all systems following CSV process requirements.
• Business Analysis: Develops a deep understanding of data flows supporting core business processes; Order to Cash, Procure to Pay, Demand to Build, Record to Report, Hire to Retire, Regulatory and Compliance. Reviews and approves requirements written by the business analysis team. Collaborates with business analysts to ensure clear and comprehensive documentation of project needs.
• Analytics & Business Intelligence: Ensure completeness, accuracy, and integrity of source data for consumption by business partners. Provide guidance on complex queries and data presentation tools.
• Governance, Risk, and Compliance: Possesses a deep understanding of IT General Controls, GxP regulations and CSV standards. Ensures that all projects adhere to SOX, GxP compliance/Data Integrity requirements and partner with Quality to maintain compliance. Collaborates with cross-functional teams to address and resolve Quality or Audit Findings.
• AI & Automation Strategy: Develops and executes a roadmap for AI and intelligent automation initiatives focused on driving operational efficiency and ROI. Evaluates and implements emerging technologies including generative AI, RPA, and machine learning models such as Power Automate, UI Path, Automation Anywhere, Fabric or others.
• Stakeholder Management: Builds and maintains strong relationships with key business stakeholders, ensuring clear communication and alignment of data initiatives with business needs and budgets. Communicates complex technical concepts to non-technical stakeholders effectively.
• Budget & Resource Allocation: Manages resource allocation effectively, balancing project needs with team capabilities and workload.
• Process Improvement: Continuously evaluates and improves core Procure to Pay, Demand to Build, Order to Cash, and Financial processes, incorporating best practices and innovative solutions.
• Vendor Management: Oversee relationships with key vendors, ensuring the effective delivery of services, visibility into application development roadmaps, advocating for business user enhancements, and alignment with business goals.