COMPANY OVERVIEW:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, 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 awards, along with recognition on Fierce Healthcare’s Fierce 15 and CB Insights’ Digital Health 150 lists.

OPPORTUNITY OVERVIEW:

Cohere Health is seeking a strategic and people-driven Senior Manager to lead our Data Platform team through its next stage of growth. This role offers the opportunity to shape the evolution of our platform from a startup-oriented environment to a scalable, enterprise-grade data ecosystem. As a key leader in our Data & AI organization, you’ll play a pivotal role in fostering a high-performance, collaborative culture while driving technical excellence, operational rigor, and innovation. You’ll work cross-functionally to deliver impactful solutions that support real-time applications and analytic needs, directly influencing how healthcare decisions are powered by data.
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.

YOUR BACKGROUND & REQUIREMENTS:

• BA or MA in Computer Science, Information Systems, or a related field.
• 3+ years of experience in data engineering or a related field, with expertise in modern data architectures, cloud platforms (AWS, Azure), data warehousing, ETL/ELT, and real-time data processing.
• 5+ years of leadership experience managing teams of data engineers, analytics engineers, or data personnel, with a proven ability to build, mentor, and scale high-performing teams.
• 5+ years of experience working with healthcare data, including a strong understanding of data governance, security, compliance, and regulatory requirements.
• 3+ years of experience in an agile environment, driving iterative development, continuous improvement, and cross-functional collaboration.
• Excellent interpersonal and communication skills, with the ability to engage effectively at all levels, including senior executives and cross-functional stakeholders.
• Strong strategic thinking, problem-solving, and analytical skills, with a track record of driving innovation, operational excellence, and enterprise scalability.
• Proven ability to establish and optimize data engineering processes, frameworks, and best practices to enhance data quality, integrity, and observability.
• Exceptional organizational, planning, and project management skills, with the ability to manage complex, cross-functional initiatives and deliver high-impact solutions.

• Lead and manage the Data Platform team through its evolution from a startup mindset to enterprise-grade excellence, fostering a high-performance culture with strategic guidance, collaboration, and targeted coaching to drive innovative, people-centric solutions.
• Drive team excellence by attracting top-tier talent, establishing clear career progression frameworks and performance metrics, and implementing comprehensive onboarding, training, and mentorship programs to accelerate growth and continuous development.
• Develop and maintain robust data engineering processes that ensure timely, sustainable delivery of solutions, balancing enterprise efficiency with minimized technical debt.
• Collaborate with stakeholders across product, operations, business intelligence, IT, and engineering to define and refine strategies, roadmaps, and best practices that ensure the data ecosystem aligns with business objectives and drives operational success.
• Implement comprehensive data ingestion strategies from diverse sources, establishing efficient, scalable, and well-documented data processing workflows, and oversee the development of data warehouses, data marts, and self-service reporting solutions.
• Oversee the installation, configuration, maintenance, and support of critical applications within the data ecosystem—including ETL tools, databases, and data warehouses—ensuring seamless operation and optimized system performance.