Mgr Business Intelligence

Myriad Genetics•Salt Lake City, UT

About The Position

The Data Engineering team at Myriad Genetics empowers business outcomes through data-driven insights. As Manager of Data Engineering for Lab Ops, you will lead a team focused on supporting laboratory operations across product lines. You’ll collaborate closely with lab management and self-service users to deliver high-impact analytics and reporting solutions. This role requires deep expertise in Looker, strong SQL skills, and a solid understanding of lab workflows.

Requirements

Bachelor’s degree in Computer Science, Mathematics, or equivalent experience.
3+ years of experience in analytics or data-driven decision-making roles.
3+ years of people management experience.
Proven expertise in Looker and SQL, with hands-on experience in lab data engineering or operations.
Strong interpersonal and presentation skills to influence and collaborate across teams.
Experience with Snowflake, DBT, or similar data platforms is required.
Demonstrated ability to communicate complex concepts to non-technical audiences effectively.
Background in Healthcare Finance, Healthcare Billing or Prior Authorization. A knack for deciphering existing queries & understanding source systems.

Responsibilities

Build, lead, and coach a high-performing Lab Data Engineering team.
Drive the development and execution of Myriad’s Data products strategy in partnership with senior leaders.
Act as a liaison between lab operations and technical teams to support metrics, dashboards, and reporting.
Lead end-to-end analytics projects—from requirements gathering to production and post-launch support.
Champion self-service analytics adoption and ensure transparency and quality in data outputs.
Advocate for best practices in data usage, modeling, and visualization.
Translate business needs into technical requirements for analysts and engineers.
Maintain accessible and comprehensive documentation for stakeholders.
Actively mentor and coach junior analysts, guide on technical skill, analytical approaches, and career development.
Ensure rich documentation exists and is easily accessible to internal stakeholders.
Ability to meet with users to understand and document requirements for consumption by analysts and engineers.