Manager, Data Analytics and Engineering

Primary City/State

Phoenix, Arizona

Department Name

Programming & Cust Sys-Ref Lab

Work Shift

Day

Job Category

Information Technology

Join on of Arizona’s largest clinical laboratory network, where modern data innovation directly elevates diagnostic accuracy and patient care. As a strategic and hands‑on data engineering leader, you’ll architect and optimize the enterprise data ecosystem that fuels real‑time insights across more than 97 million annual tests. You’ll guide a high‑performing team in building scalable ELT pipelines, advancing Snowflake‑based analytics, and shaping self‑service intelligence platforms that drive operational excellence statewide. In close partnership with clinical and operational leaders, you’ll translate complex laboratory workflows into predictive, cloud‑driven solutions that strengthen quality, efficiency, and precision medicine. This is a rare opportunity to define data strategy at scale and lead transformative impact across a mission‑critical healthcare organization.

Your pay and benefits are important components of your journey at Sonora Quest Laboratories/Laboratory Sciences of Arizona. This opportunity includes the option to participate in a variety of health, financial, and security benefits. In addition, this position may be eligible for our Management or Sales Incentive Programs as part of your Total Rewards package.

Position Summary

This position is responsible for designing and managing enterprise-scale data infrastructure and analytics solutions at Sonora Quest Laboratories. This position blends strategic oversight with direct execution, leveraging modern cloud technologies (e.g., Snowflake, Fivetran, Coalesce, Sigma) to deliver actionable insights that enhance operational efficiency, diagnostic accuracy, and patient care across Arizona’s largest clinical laboratory network.

This role is a hybrid opportunity based in Phoenix, AZ.

Performs all functions according to established policies, procedures, regulatory and accreditation requirements, as well as applicable professional standards.

Supervisory Responsibilities

DIRECTLY REPORTING

Typically supervises 3-5 data platform and analytics engineers.

PHYSICAL DEMANDS/ENVIRONMENT FACTORS

OE - Typical Office Environment

• Requires extensive sitting with periodic standing and walking.
• May be required to lift up to 20 pounds.
• Requires significant use of personal computer, phone and general office equipment.
• Needs adequate visual acuity, ability to grasp and handle objects.
• Ability to communicate effectively.
• May require off-site travel.

Knowledge, Skills And Abilities

• Modern Data Stack Expertise: Hands-on experience with Snowflake, Fivetran, Coalesce, Sigma or equivalent modern data stack in healthcare or lab environments
• Programming & Analytics: Skilled in SQL, Python, and statistical analysis to build scalable models and performance tools
• Leadership & Communication: Proven ability to lead technical teams and present insights to clinical and executive stakeholders

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or a related technical field — or equivalent professional experience demonstrating strong technical capability
• Five (5) years of hands‑on data engineering experience working with modern cloud data platforms; experience in healthcare or laboratory data environments is a strong plus
• Five (5) years of experience building, scaling, and managing modern Business Intelligence or Analytics platforms (e.g., Tableau, Power BI, Looker, Sigma)
• Three (3) years of experience with Snowflake, Fivetran, and data transformation frameworks such as Coalesce or dbt (or comparable tools).
• Three (3) years leadership experience including managing direct reports with guiding technical teams, developing talent, and fostering a high‑performance culture.
• Proven expertise in SQL, Python, and designing scalable cloud‑based data architectures

Preferred Qualifications

• Master's degree in Data Science, Health Informatics, Clinical Laboratory Science, or related field
• Experience standing up and managing data governance frameworks, including policies, metadata management, and data stewardship practices across enterprise environments
• Experience with laboratory information systems (Epic Beaker, Cerner, Meditech, Sunquest), quality management platforms, and diagnostic instrument data integration
• Hands‑on experience with additional cloud platforms or services (AWS, Azure, or GCP)
• Background in Agile development methodologies and DevOps practices for laboratory and healthcare data systems
• Deep understanding of modern data‑stack practices, including ELT/ETL design, data modeling, and data observability
• Additional related education and/or experience.

EEO Statement

EEO/Disabled/Veterans

Our organization supports a drug-free work environment.

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