The Director, Digital Quality & Analytics will report into the Sr. Director Governance & Quality Excellence and will drive the adoption of AI, advanced analytics, and data-driven decision making across the Quality and Regulatory Affairs function. This role will serve as a change champion, partnering cross functional stakeholders to transform how quality data is leveraged- from reactive to proactive, predictive insights. 

This leader will also play a critical role in executive and Board-level reporting, ensuring quality and regulatory performance is translated into clear, actionable insights that support enterprise risk management, compliance, and strategic decision making.

This is a hybrid role, and the selected candidate must be near-site to one of Quest Diagnostics hub locations. Preferred locations are Wood Dale, IL or Schaumburg, IL. Pay Range: $150,000-$220,000/year + 20% Annual Incentive Plan.

Benefits Information: 

We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include: 

• Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours 

• Best-in-class well-being programs 

• Annual, no-cost health assessment program Blueprint for Wellness® 

• healthyMINDS mental health program 

• Vacation and Health/Flex Time 

• 6 Holidays plus 1 "MyDay" off 

• FinFit financial coaching and services 

• 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service 

• Employee stock purchase plan 

• Life and disability insurance, plus buy-up option 

• Flexible Spending Accounts 

• Annual incentive plans 

• Matching gifts program 

• Education assistance through MyQuest for Education 

• Career advancement opportunities 

• …and so much more! 

AI & Digital Enablement

• Lead the strategy and deployment of AI enable solutions across Quality & Regulatory processes
• Identify high value use cases to drive automation, risk detection, and efficiency
• Partner with IT, data, and business team to scale AI capabilities responsibility and compliantly
• Act as a AI champion, driving adoption through training, communication, and stakeholder engagement

Analytics Strategy & Transformation

• Define and execute a roadmap to transition from lagging indicators to leading predictive insights
• Build and standardize quality metrics, KPIs, and dashboards across the enterprise
• Enable advanced analytics to improve inspection readiness and compliance outcomes
• Drive master data harmonization and governance aligned with eQMS and enterprise data strategy

Governance & Executive Reporting

• Lead development of Board of Directors and Executive level reporting for Quality and Regulatory Affairs
• Translate complex quality data into clear, concise, and compelling narratives for senior leadership
• Enhance transparency to enterprise level regulatory and compliance risks
• Support governance forums with actionable insights and decision support

Required Work Experience

• 8-12+ years of experience in Quality, Regulatory Affairs, Analytics, or Digital transformation

• Experience in life sciences, diagnostics, medical devices, or regulated environments

• Proven ability to lead enterprise level transformation initiatives

• Strong experience with data analytics, dashboards, and KPI development

• Demonstrated success in executive communication and Board level presentations.

• Experience with data visualization and analytics platforms (Power BI, Tableau, etc.)

• Experience translating complex data into actionable business insights

   

Preferred work experience

• Experience with AI/ML applications in regulated environments

• Familiarity with eQMS platforms and quality system processes

• Knowledge of regulatory frameworks (e.g. FDA, CAP, CLIA, ISO)

• Experience driving change management and adoption at scale

People Leader Responsibility:

• 0-4 direct reports

Education:

• Bachelor’s Degree (Required)

• Advanced Degree (Preferred)

Technical Training or Professional Licensing:

• ASQ CMQ/OE, CQA, or equivalent quality certification (Required)

• Certification in AI, analytics, data science, or business intelligence tools or equivalent (Required)

• Lean Six Sigma Black Belt (Preferred) 

• Regulatory or compliance certifications (Preferred)

• RAC, ISO 13485 lead auditor (Preferred)

• AI Governance Professional Certifications (Preferred)