Duties and Responsibilities:

• Lead, mentor, and manage a team of data warehouse data engineers and analysts while fostering a culture of collaboration, technical excellence, and continuous quality improvement. Conduct performance reviews and support career development for members of the team.
• Oversee the development and maintenance of the processes for ingesting data from a wide variety of external sources. Ensure with the vendors that the data meets expectations and work with the team to ensure it is aggregated, cleaned, and loaded efficiently and reliably.
• Establish and enforce best practices for data quality, integrity, and governance.
• Ensure the team implements monitoring tools and processes to proactively identify and resolve data or processing issues.
• Collaborate with stakeholders to understand use cases, client data needs to deliver solutions that meet the business needs.
• Evaluate and recommend new technologies, tools, and platforms to improve data warehousing capabilities or efficiencies.
• Define and implement Key Performance Indicators that will ensure that stakeholders can assess any risks with the data received from each source.
• Develop and maintain documentation including data dictionaries, transformations, and data flow diagrams and other requirements for consumers of the data.
• Stay up to date on the latest data technologies and trends and evaluate potential technologies, tools and frameworks as needed.
• Represent the company with external vendors, clients, industry events and conferences.
• Work on projects as required from senior leadership.
• Perform other duties as assigned to support business needs and company objectives.

Qualifications:

• Bachelor’s Degree or 10 years of related healthcare data experience or equivalent combination of education and experience required.
• 5+ years of experience in data warehousing, with a minimum of 3+ years in a leadership or management role.
• Extensive experience with modern data warehouse technologies (e.g., Snowflake, Google BigQuery).
• Proficiency in SQL and experience with a scripting language (e.g., Python).
• Proven experience with ETL/ELT tools and data pipeline orchestration (e.g., Airflow).
• Extensive knowledge of medical and pharmacy claims data, provider data, and supporting structures.
• Strong understanding of data governance, data quality management, and data security best practices.
• Excellent communication, leadership, and problem solving skills.
• Ability to design and implement efficient processes.

What We Offer:

• Impact-Driven Mission: Directly shape healthcare outcomes through data-driven solutions.
• Startup Culture: Collaborative, dynamic environment with significant growth potential.
• Professional Development:
  o Continuous learning opportunities
  o Exposure to cutting-edge data technologies
  o Career advancement in a scaling company
• Competitive Compensation: Comprehensive benefits package recognizing your expertise.
  
  

A background check is required for this role.