Job description

Opportunity Overview: We are seeking a Senior Manager, Data Platform Engineering to lead a critical part of Cohere Health’s Data Platform team as we continue scaling our technology, engineering practices, and client delivery capabilities.This role combines people leadership, technical judgment, and strong execution ownership to build a high-performing engineering team and drive predictable delivery, technical excellence, and operational reliability across complex data initiatives. You’ll partner closely with Product, Engineering, Architecture, Client Delivery, and business stakeholders to build a scalable, trusted data foundation that supports Cohere’s continued growth. What you’ll do: Lead, coach, and develop a high-performing Data Platform engineering team through clear expectations, regular feedback, career development, performance management, and strong engineering leadership. Own execution across complex data initiatives, translating priorities into credible delivery plans with clear scope, milestones, owners, dependencies, capacity assumptions, risks, decisions, and target dates. Maintain accountability through delivery and proactively adjust plans when scope, capacity, dependencies, or technical complexity change. Establish strong delivery discipline by ensuring work is sufficiently defined, technically understood, estimated, sequenced, and ready before commitment; proactively address blockers, dependencies, scope changes, and capacity constraints, with clear mitigation and early escalation when commitments are at risk. Maintain sufficient technical depth to independently assess delivery and implementation risk, while partnering closely with Staff Engineers and other technical leaders to validate architecture, implementation approaches, estimates, technical readiness, root causes, and quality before key decisions or commitments are made. Build trusted cross-functional partnerships across Product, Client Delivery, Engineering, Architecture, Operations, and other stakeholders to align priorities, resolve tradeoffs, and communicate clear, fact-based status and decisions. Drive operational excellence across production support, on-call readiness, incident management, data quality, observability, and reliability, while maintaining strong operating discipline across capacity planning, backup coverage, escalation paths, action tracking, and follow-through. Guide the continued evolution of Cohere’s data platform, including scalable data ingestion, transformation, lakehouse and cloud architecture, governance, and reusable platform capabilities that support downstream applications, analytics, and business needs. What you’ll need: 8+ years of experience in data engineering, platform engineering, software engineering, or a related technical field, including 3 years of directly managing software or data engineers or as a Lead/Staff level Data Engineer in a production engineering environment. Demonstrated success building, coaching, and managing high-performing engineering teams, including setting expectations, developing talent, managing performance, and creating accountability for outcomes. Proven ability to lead complex, cross-functional engineering initiatives from planning through production, with strong delivery discipline, dependency management, risk mitigation, accountability, and a demonstrated track record of improving predictability. Proven ability to lead complex, cross-functional engineering initiatives from planning through production, with strong delivery discipline, dependency management, risk mitigation, accountability, and a demonstrated track record of improving predictability. Strong technical depth in modern data platforms, including data ingestion, ETL/ELT, distributed data processing, data modeling, cloud-based data architectures, and production data systems. Experience with modern cloud and data technologies such as AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, Athena, or comparable technologies. Strong understanding of engineering quality and operational practices, including testing, data quality, observability, incident management, on-call operations, version control, CI/CD, and production reliability. Excellent written and verbal communication skills, with the ability to provide concise, accurate updates to senior leadership and navigate priorities, tradeoffs, risks, and decisions across technical and non-technical stakeholders. Nice-to-haves Experience building or operating enterprise-scale data lakehouse, data platform, or data infrastructure capabilities. Experience working with healthcare data, including claims, eligibility, clinical, provider, or other healthcare datasets. Familiarity with data governance, metadata management, data cataloging, security, privacy, and regulated data environments. Demonstrated success helping an engineering team mature its delivery practices, technical standards, operational discipline, or platform capabilities during a period of significant growth. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flexible Time Off + Company Holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $175,000 to $195,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: Connect with Talent Acquisition for a Preliminary Phone Screening Meet your Hiring Manager! Live System Design & Project Retro Behavioral Interview(s) *Subject to change About 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 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. The Coherenauts, as we call ourselves, 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. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote

Requirements

Must-haves

Lead, coach, and develop a high-performing Data Platform engineering team through clear expectations, regular feedback, career development, performance management, and strong engineering leadership.
Demonstrated success building, coaching, and managing high-performing engineering teams, including setting expectations, developing talent, managing performance, and creating accountability for outcomes.
Strong technical depth in modern data platforms, including data ingestion, ETL/ELT, distributed data processing, data modeling, cloud-based data architectures, and production data systems.
Experience with modern cloud and data technologies such as AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, Athena, or comparable technologies.
Strong understanding of engineering quality and operational practices, including testing, data quality, observability, incident management, on-call operations, version control, CI/CD, and production reliability.
Fully remote opportunity with about 5% travel
Pet insurance
Connect with Talent Acquisition for a Preliminary Phone Screening
Meet your Hiring Manager!
Live System Design & Project Retro
Behavioral Interview(s)
Subject to change

Nice-to-haves

Experience building or operating enterprise-scale data lakehouse, data platform, or data infrastructure capabilities.
Experience working with healthcare data, including claims, eligibility, clinical, provider, or other healthcare datasets.
Familiarity with data governance, metadata management, data cataloging, security, privacy, and regulated data environments.
Demonstrated success helping an engineering team mature its delivery practices, technical standards, operational discipline, or platform capabilities during a period of significant growth.

Application prep

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Keywords to mirror

awsci/cdai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401k

Parental Leave