Senior Manager, Data Platform Engineering

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $175k - $195k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Cohere Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Cohere Health is a company focused on transforming the prior authorization process in healthcare using advanced technologies. The company offers the Cohere Unify™ Platform, which includes artificial intelligence and machine learning capabilities to improve utilization management (UM) and facilitate quicker access to patient care. By digitizing the prior authorization process and integrating with electronic medical records, Cohere Health aims to enhance the quality of healthcare outcomes and reduce the administrative burden on providers. Their solutions help decrease denial rates and adverse outcomes through evidence-based intelligence and real-time clinical suggestions. Cohere Health's offerings are available as Platform as a Service (PaaS) or as fully outsourced solutions.

📋 Description

• 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 delivery discipline by ensuring work is defined, technically understood, estimated, sequenced, and ready before commitment. • Address blockers, dependencies, scope changes, and capacity constraints, with mitigation and early escalation when commitments are at risk. • Assess delivery and implementation risk while partnering with Staff Engineers and technical leaders to validate architecture, implementation approaches, estimates, technical readiness, root causes, and quality. • Build cross-functional partnerships across Product, Client Delivery, Engineering, Architecture, Operations, and other stakeholders. • 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. • Maintain operating discipline across capacity planning, backup coverage, escalation paths, action tracking, and follow-through. • Guide the evolution of Cohere’s data platform, including scalable data ingestion, transformation, lakehouse and cloud architecture, governance, and reusable platform capabilities.

🎯 Requirements

• 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. • 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. • 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.

🏖️ Benefits

• 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 • Bonus included in the total benefits package

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