Director - Data Product Development
November 8
Description
• Provide thought leadership & strategic thinking to design and enable 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 accountable 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
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 platforms (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)
Benefits
• health insurance • 401k • bonus
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