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Lead, AI Analyst

Job in Secaucus, Hudson County, New Jersey, 07094, USA
Listing for: Quest Diagnostics
Full Time, Part Time position
Listed on 2026-01-18
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 135000 USD Yearly USD 125000.00 135000.00 YEAR
Job Description & How to Apply Below

This role is a critical piece in our Product organization that helps to translate strategy into action as we work to make the digital experience at Quest universally lovable for all of our constituents. The AI Analyst will oversee AI product development, deployments, and compliance, ensuring that AI solutions align with strict regulatory standards and quality benchmarks. This individual will drive data-informed decision-making across the AI product lifecycle, from strategy development and governance to execution and ongoing operations.

Please note this is a hybrid opportunity (3 days in office & 2 days WFH). The position can be based in one of the following locations;
Secaucus, NJ, Lenexa, KS, Dallas, TX, Tampa, FL, Schaumburg IL

Pay Range:$125,000 - $135,000 / 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.

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

    MINDS mental health program
  • Vacation and Health/Flex Time
  • 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
  • and so much more!
Responsibilities
  • Strategy & Development:
    Partner with product managers and data scientists to understand and inform AI product roadmaps, supporting rollout plans for new AI features and models.
  • Governance & Compliance:
    Analyze opportunities, risks, strengths, and weaknesses regarding AI regulations; derive critical issues of the future to ensure all AI deployments meet compliance and governance standards.
  • Quality & Validation:
    Assist in the implementation and validation of AI analytics tracking solutions to ensure accurate data collection, model performance measurement, and quality assurance.
  • Operations:
    Manage the operational performance of AI products, ensuring they are performing as expected and managing any incidents or performance degradation
    11.
  • Innovation:
    Research the competitive landscape and emerging AI trends to formulate growth strategies, create forecasts, and identify opportunities for innovation within the healthcare AI space
  • Analysis:
    Conduct thorough analysis of digital data and AI model outputs to inform sprint planning, backlog refinement, and prioritization discussions.
  • Collaboration:

    Work closely with cross-functional teams (Legal, Compliance, Data Science, Engineering) to define user stories and acceptance criteria based on data insights, business priorities, and regulatory requirements.
  • Communication:
    Provide regular updates and reports on key performance metrics, trends, and insights to stakeholders, acting as a subject matter expert on AI analytics and governance best practices
Qualifications

Education Required:

  • Bachelor's Degree:
    Computer Science, Business, Data Science, or a related field

Education Preferred:

  • Master's Degree: MBA, Data Science or a related field

Required

Work Experience:

  • 5-7 years' experience in a similar role (can include related experience, such as product management, data analysis, or compliance)
  • Able to showcase previous digital product or AI improvements that you owned.
  • At least 3 years' experience working in an Agile framework with digital products

Preferred

Work Experience:

  • Demonstrated passion for Customer Experience and acting as an advocate for customers
  • Experience in coaching,…
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