Senior Manager, Data Science & Business Insights

Job Description

Pay Range: $ - $ / year

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.

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®
• healthy MINDS mental health program
• Vacation and Health/Flex Time
• 6 Holidays plus 1 "MyDay" off
• Fin Fit 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!

• Leverage and develop enterprise‑scale data science and advanced analytics models and solutions across commercial, marketing, provider, health systems, financial, and operational domains with a focus on delivering operations insights.
• Apply advanced statistical methods, predictive and prescriptive modeling, and machine learning techniques to enable data‑driven decision‑making and drive business growth and operational efficiencies.
• Ensure analytical solutions are production‑ready, scalable, and governed, in alignment with Quest’s data privacy, security, and regulatory requirements.
• Drive adoption of analytics by embedding insights into enterprise workflows and decision processes.

• Lead the application of machine learning and AI techniques to enterprise use cases, including evaluation and implementation of NLP and Generative AI capabilities.
• Ensure responsible and compliant use of AI technologies in accordance with Quest governance and risk management standards.
• Identify and deliver analytics‑driven automation opportunities that improve efficiency and scalability across the enterprise.

• Serve as a strategic analytics and data science partner to senior business leaders across Enterprise and representing the EBA within the Operation function.
• Translate complex analytical insights into clear, actionable recommendations for executive and non‑technical audiences.
• Quantify and communicate the business value, impact, and ROI of data science, analytics, ML/AI, and intelligent automation initiatives.
• Contribute to the development and execution of the enterprise data science, analytics, AI/ML, and technology platform roadmap.

• Lead, mentor, and develop data scientists, analytics engineers, and analysts.
• Establish and reinforce best practices for analytics development, validation, documentation, and knowledge sharing.
• Provide technical leadership and direction across multiple concurrent, cross‑functional initiatives
• Operate effectively within a matrixed enterprise environment, influencing outcomes beyond direct reporting lines.
• Trains team members to upskill and enhance their analytics capabilities and drive their adoption of AI‑supported tools, automation, processes, and platforms.