Director, Data Product Development

Summary

Join Cohere Health as a Data & AI Team Leader to work with complex data and AI solutions in a fast-paced landscape, collaborating with cross-functional teams to build and scale data products that support dashboarding, advanced analytics, predictive models, and AI-driven solutions.

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)

Responsibilities

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

Benefits

• Health insurance
• 401k
• Bonus