Director, Data Product Development at Cohere Health

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcares Fierce 15 and CB Insights Digital Health 150 lists.

Opportunity Overview:

At Cohere Health our Data & AI Team is focused on using a variety of payer and provider data to automate and augment the prior authorization process. As a leader on the team you have the opportunity to work with complex data and AI solutions in a fast-paced, rapidly-evolving landscape answering critical business and clinical questions.  This role is critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve healthcare decision-making.

You will collaborate with cross-functional teams, including product managers, data engineers, data scientists, healthcare analysts, actuaries, clinicians, and business stakeholders, to build and scale data products that support dashboarding, advanced analytics, predictive models, and AI-driven solutions. Your focus will be to ensure our data is timely, meaningful, easy-to-use, and well-governed to create real-world impact.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do: 

• Provide thought leadership & strategic thinking to design and enablement of Cohere’s enterprise data warehouse, data lakes and datamarts

• Lead our enterprise master data initiatives to ensure single, accurate, and consistent view of key entities like patients and providers, including standard definitions for our clinical and operational needs

• Collaborate with product managers, business and analytic stakeholders to translate business needs to practical and scalable data solutions

• Collaborate with enterprise architects to design and enable scalable, efficient data architectures that can handle large volumes and varieties of data

• Lead a team of data owners who are accountability for the usability, quality, and governance of our enterprise clinical and operational data assets

• Lead a team of analytic data engineers to enrich and curate data from multiple sources in a scalable and cost effective manner

• Partner with legal, security, product and engineering leaders to adopt and implement industry best practices in data security and governance

• Foster a collaborative and innovative culture, set clear goals, and mentor staff

• A forward-thinking mindset to identify opportunities to improve existing infrastructure and adopt new technologies that enhance scalability and performance

• Drive adoption of data products and promote data-driven making culture through training, education, and support for technical and non-technical users

Your background and requirements:

• 10+ years of hands on experience in data engineering and analytics

• 5+ years of experience in leading healthcare data engineering or analytic software development teams

• Bachelor’s or Master’s degree in Computer Science, Engineering or similar

• Deep expertise in translating complex transactional and clinical data into enterprise-grade data products with quantifiable business impact

• Led development initiatives that enable scalable and efficient data architectures that can handle large volumes and varieties of data, including data warehousing and data lakes

• Led program initiatives to drive enterprise data standards, governance and cataloging

• Proven track record in building and scaling data engineering and analytics teams, including recruitment, mentoring, and performance management.

• Experience with cloud providers, including data pipeline technologies (e.g., Spark, Kafka, Glue), analytics platform (e.g., Databricks, Snowflake), data storage technologies (e.g., AWS Redshift, MongoDB), and cost optimization methodologies

• Strong organizational skills to manage multiple projects and deadlines, with experience in agile or scrum methodologies

• Understanding of data security protocols, encryption standards, data privacy and protection regulations, and best practices in access management

• Knowledge in healthcare coding standards (e.g., ICD, CPT, NCD), clinical terminologies and ontologies (e.g., Snomed, UMLS)

• Knowledge in healthcare business operations (preferred)

• Hands-on experience in clinical analytics (preferred)

• Familiarity with business intelligence and AI application product development (preferred)