Senior Manager, Data Platform Engineering

Cohere Health

1d • $175,000 - $195,000 • Remote

About The Position

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.

Requirements

• 8+ years of experience in data engineering, platform engineering, software engineering, or a related technical field, including 3+ years directly managing software or data engineers 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed