Manager, Client Data & Analytics Delivery (Remote)

The Manager Solution Delivery will lead and scale the execution of our data and analytics product deliveries in a rapidly growing business. The role will be critical in ensuring quality, efficiency, and standardization working across internal teams and with external partners to enhance delivery performance, drive process improvements, and establish key operational metrics.Scaling product delivery for multiple products across multiple lines of business lines in HAS is a critical success factor driving customer satisfaction and revenue growth. The role will build repeatable, efficient, and scalable processes to support business expansion while maintaining high-quality, timely deliveries.Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.Required Work Experience3+ years of experience in product delivery, data operations, or healthcare data management preferably in a high growth environmentPreferred Work Experience3+ years of experience scaling data operations, implementing process improvements, and optimizing product delivery workflowsPhysical and Mental RequirementsStrong problem-solving abilitiesTechnical and Analytical Skills• Demonstrated ability in project management, cross-functional collaboration, and executive communication.• Basic SQL proficiency with the ability to write queries to verify data counts, check for nulls, and isolate records for investigation.• Solid understanding of data pipeline concepts (ETL/ELT) to help identify failure points in data extraction, transformation, or loading stages.• Experience with basic log file analysis to find error messages and trace transaction IDs.• Familiarity with API fundamentals (e.g., ability to check endpoint status or error codes).SkillsStrong problem-solving abilitiesAbility to analyze performance metrics and develop improvement plansProject ManagementCommunication and organizational skillsCross functional collaborationEducationBachelor’s degree in business, Operations, Computer Science, or a related discipline preferred.Product Delivery• Oversee the end-to-end management of data product delivery, including SOW-based and roster-based data transfers, ensuring timely and successful execution.• Act as the first point of contact for delivery issues, performing initial triage by reviewing data, checking logs, and running basic diagnostic queries to identify the potential source of an error (e.g., data quality, configuration, system failure).• Serve as the primary liaison between business development, technology teams, customer success, and clients to manage requirements, provide estimates, and support solution testing.• Translate technical findings and root cause analyses into clear, concise business-level summaries for communication with non-technical stakeholders and leadership.Quality, Compliance & Continuous Improvement• Track customer-reported issues from initial report through to final resolution, ensuring a high level of customer satisfaction.• Develop and report on key quality and performance metrics to identify trends and areas for improvement.• Ensure all delivery processes and data handling procedures strictly adhere to HIPAA standards and all relevant data privacy regulations.• Proactively identify opportunities to enhance operational workflows and quality control checkpoints.Scaling & Process Optimization• Design, implement, and document scalable operational processes and standardized workflows to support current and future business growth.• Develop and maintain a strategic roadmap for scaling delivery operations to meet future demand and complexity.• Continuously evaluate and optimize existing processes to improve efficiency, reduce manual effort, and increase the reliability of data delivery.Full timePosting Date: 2026-07-23