Senior Manager, Data Platform Engineering (Remote - US)

This position is posted by Jobgether on behalf of Cohere Health. We are currently looking for a Senior Manager, Data Platform Engineering in United States.

As a Senior Manager leading Data Platform Engineering, you will guide the evolution of a growing data ecosystem from startup-level operations to enterprise-grade scalability. You will oversee a team of data engineers and analytics professionals, fostering a collaborative, high-performance culture while driving technical excellence, operational rigor, and innovation. Partnering across product, engineering, and business teams, you will shape data infrastructure that supports real-time applications, analytics, and strategic business initiatives. Your leadership will directly influence how data powers decision-making, operational efficiency, and impactful healthcare solutions.

Accountabilities:

This role combines strategic oversight with hands-on leadership and operational execution:

• Lead, mentor, and grow the Data Platform team, building a high-performance culture and ensuring career development opportunities.
• Develop and maintain robust, scalable data engineering processes and pipelines, balancing speed with quality and minimizing technical debt.
• Oversee data ingestion, ETL/ELT processes, data warehousing, and self-service reporting solutions from diverse sources.
• Collaborate cross-functionally to define strategies, roadmaps, and best practices that align the data ecosystem with business goals.
• Ensure operational excellence, system performance, and reliability of critical data applications, tools, and infrastructure.
• Drive adoption of enterprise-grade standards for data quality, governance, security, and observability.
• Foster a collaborative, innovative environment that prioritizes team growth, inclusion, and impact.

The ideal candidate combines leadership, technical expertise, and healthcare domain experience:

• 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 cloud platforms (AWS, Azure), ETL/ELT, data warehousing, and real-time data processing.
• 5+ years of leadership experience managing and mentoring high-performing data teams.
• 5+ years of experience working with healthcare data, including familiarity with compliance, regulatory requirements, and data governance.
• 3+ years of experience in agile environments, driving iterative development and cross-functional collaboration.
• Strong strategic thinking, problem-solving, analytical, and project management skills.
• Exceptional interpersonal and communication skills for engaging with senior executives and cross-functional teams.
• Proven ability to implement scalable data engineering frameworks, processes, and best practices.

This role offers a competitive compensation and supportive work environment:

• Annual salary range: $175,000 – $195,000
• Health insurance coverage
• 401(k) plan
• Performance bonus opportunities
• Fully remote work (#LI-Remote, #BI-Remote)
• Professional development and growth opportunities
• Inclusive and collaborative team culture

Jobgether is a Talent Matching Platform that partners with companies worldwide to connect top talent with the right opportunities through AI-driven matching.

When you apply, your profile goes through an AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the role’s core requirements and success factors to determine a match score.
🎯 The 3 candidates with the highest match are automatically shortlisted.
🧠 When necessary, our human team may perform an additional review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once shortlisting is completed, we share it with the hiring company, who will decide on next steps such as interviews or assessments.

Thank you for your interest!

#LI-CL1