Mgr Business Intelligence at the Myriad Genetics Candidate site

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jan, 26

Salary

0.0

Posted On

05 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Looker, SQL, Data Engineering, Analytics, Reporting, Lab Workflows, Snowflake, DBT, Interpersonal Skills, Presentation Skills, Mentoring, Documentation, Data Modeling, Data Visualization, Healthcare Finance, Healthcare Billing

Industry

Biotechnology Research

Description

Manager Lab Data Engineering - Business Intelligence (Remote) 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. What You’ll Do • 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. What You Bring • 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. What We Value • Diverse, functional teams with flat management. • Balancing short-term wins with long-term strategy. • Empathy and open communication. • A culture of learning, humility, and fun. Must be a: U.S. citizen or national, or U.S. lawful permanent resident (green card holder) Compensation We consider geographic location when determining base salary to ensure equitable and competitive compensation. Equal Employment Opportunity (EEO) We believe our people are our greatest strength. The diverse talents they bring to our global workforce are directly linked to our success. We are proud to be an equal opportunity employer and value diversity and inclusion. We prohibit discrimination and harassment based on any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital or veteran status, pregnancy, disability, or any other basis protected under applicable law. In accordance with applicable law, we provide reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Responsibilities

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.