Senior Manager, Quality Data Analytics

Integra LifeSciences•Princeton, FL

About The Position

The Senior Manager, Quality Data Analytics provides leadership over Quality Analytics strategy, capabilities, and delivery across the organization. This role is responsible for scaling analytics solutions that enable proactive Quality Compliance, regulatory readiness, and enterprise ‑ level risk management across the medical device lifecycle. The Senior Manager leads managers and/or advanced individual contributors and partners with senior leadership to embed data ‑ driven decision ‑ making across the organization.

Requirements

Bachelor’s degree in Data Science, Engineering, Statistics, Quality, Computer Science, or related field.
10+ years of experience in data analytics or business intelligence.
5+ years of people leadership experience, including managing managers or large teams.
Strong expertise in Quality Management Systems (CAPA, complaints, audits, risk management, PMS/PMCF).
Experience supporting regulatory inspections and audits.
Experience in the medical device industry.
Proficiency in SQL and data visualization tools (Power BI, Tableau).
Strong executive communication and stakeholder influence skills.
Ability to travel up to 25% if needed.

Responsibilities

Lead and develop a team of managers and/or senior analytics professionals, ensuring strong capability development and succession planning.
Define and execute the Quality Data Analytics strategy and roadmap aligned with enterprise priorities.
Establish standards for analytics, reporting, and data governance across Quality functions.
Oversee analytics supporting CAPA, complaints, audits, nonconformances, supplier quality, and post‑market surveillance.
Ensure analytics outputs meet regulatory requirements (FDA QSR, ISO 13485, EU MDR, MDSAP).
Serve as a key leader during regulatory inspections, owning analytics narratives and data defensibility.
Partner cross‑functionally with Quality, Regulatory, Manufacturing, and IT leaders.
Drive continuous improvement, automation, and adoption of advanced analytics techniques.
Manage prioritization across multiple stakeholders and enterprise demands; and, Other duties as assigned.