Hi, we're Oscar. We're hiring an Associate Director, Analytics Engineering to join our Data Science team.

Oscar is the first health insurance company built around a full stack technology platform & a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselvesone that behaves like a doctor in the family.

About the role

As the Associate Director of Analytics Engineering you will define & execute on the multi-year technical vision & evolution of our analytics platform, including the data transformation infrastructure & downstream semantic layer systems. You will leverage your industry knowledge & experience to influence engineers & other leaders in Oscars young-but-active Analytics Engineering community.

Analytics Engineers of all levels exhibit a deep respect for the role of Data Governance & the need for fit-for-purpose data that empower end users to answer their own questions.

You will report to a Senior Director, Data Science.

Work Location:

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture & our mission.

If you live within commutable distance to our New York City office ( in Hudson Square), our Tempe office (off the 101 at University Ave), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Kentucky, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants & annual performance bonuses.

You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.

Responsibilities

• Serve as an expert in Oscar's analytics technologies & tools, drive their continuous improvement, & influence the long term vision for Oscar's analytics ecosystem.
• Leverage industry knowledge & experience to influence other Technology leaders to advance standards, guidelines & best practices for engineering & analytics development.
• Serve as the subject matter expert of a broad content or infrastructure domain, lead the planning, execution & release of complex technical or data transformation projects across multiple data transformation and/or downstream semantic layer systems or domains.
• Lead cross-functional long term projects, & influence the multi-year strategic roadmap, with a focus on optimizing & scaling the analytics tech stack & data transformation solutions, ensuring its efficiency & effectiveness in meeting business needs.
• Ensure the analytics platform & related systems are administered according to industry standards, internal controls are followed, & processes are aligned with established Data Governance principles.
• Identify opportunities & implement solutions to enhance the efficiency of existing data transformations & semantic layer systems throughout Oscar, with a focus on speed, cost-effectiveness, & stability.
• Expand the coverage of data quality checks & enhance monitoring & alerting pipelines to ensure the reliability & accuracy of analytics outputs.
• Champion Oscar's culture & values, mentor junior team members, cultivate a culture of excellence in analytics engineering & foster continuous skill development.
• Manage a team of Analytics Engineers, & direct their work as appropriate for their level.
• Compliance with all applicable laws & regulations.
• Other duties as assigned.

Qualifications

• 7+ years of experience in Analytics Engineering, Data Analytics, or a related field.
• 6+ years of experience working with a variety of database languages, including SQL, DDL & DML with demonstrated ability to efficiently transform data & databases.
• 5+ years of experience developing in a semantic modeling language (e.g. LookML).
• 5+ years of experience developing within a modern data transformation tool like DBT.
• 5+ years of experience with cloud database tools (GCP, AWS, Azure).
• 3+ years of experience working with & presenting to non-technical stakeholders.

Bonus Points

• Experience integrating DBT & Looker (or equivalent ETL-to-BI integration).
• Experience working with healthcare data, analytics & reporting.
• Experience with Google Cloud Platform.
• A background in healthcare and/or insurance.
• Excellent communication skills, verbal & written, as demonstrated by experience on multiple projects or initiatives requiring communication between technical & non-technical users.