Director – Engineering, Data Platform

Job not on LinkedIn

October 22

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Logo of OM1, Inc.

OM1, Inc.

Artificial Intelligence • Healthcare Insurance • Pharmaceuticals

OM1, Inc. is a company specializing in the application of artificial intelligence and real-world data to revolutionize healthcare delivery and research. The company provides advanced analytics and data networks that support real-world evidence generation, predictive medicine, and personalized insights at the point of care. OM1's solutions are particularly focused on chronic disease management across various specialty areas, including immunology, mental health, neurosciences, cardiometabolic, dermatology, gastroenterology, respiratory, ENT, and rheumatology. Their innovative AI-driven technologies are trusted by top pharmaceutical and medical device companies, enabling improved treatment and diagnosis through detailed patient data analysis and insights for clinical outcomes. OM1 collaborates with health systems for early cancer detection and other initiatives, continuing to push the boundaries of medical research and patient care.

📋 Description

• Lead the strategy, development and operations of OM1’s data platform, ensuring that it is optimized for rapid and reliable data processing at scale. • Own the vision and roadmap for OM1's Data Platform, ensuring it delivers high throughput data processing and drives transformative efficiency through generative AI. • Lead the Data Platform team, including global team members across the United States and India. • Recruit, develop, and mentor a high-performing team of engineers and technical leaders. • Foster an inclusive, collaborative engineering culture that values innovation, technical excellence, and continuous improvement. • Partner cross-functionally with the App Platform, Core Infrastructure, Product Management and other teams to align platform capabilities with business needs. • Deliver core platform capabilities, including data ingestion frameworks, data lake/warehouse solutions, transformation pipelines, governance and lineage tracking, and API-based delivery mechanisms. • Establish best practices for data processing speed, efficiency, and quality without compromising accuracy or compliance.

🎯 Requirements

• 10+ years of engineering experience, including at least 5 years in engineering leadership roles. • Deep expertise in architecting and scaling data platforms and distributed systems. • Strong technical background in cloud-native data technologies (e.g., AWS, Snowflake, Spark, Kafka). • Demonstrated experience in developing and deploying generative AI solutions, particularly in the context of data pipelines and agentic systems. Proven track record of driving significant efficiency gains through automation and AI-driven optimization in data-intensive environments. • Proven ability to define and deliver on a technical vision for high-performance, rapid data processing infrastructure. • Track record of building and leading high-performing, diverse engineering teams. • Experience working in highly regulated data environments with PHI/PII.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities

Apply Now

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