Senior Manager of Scientific Data Engineering

Join our team as a Senior Manager of Scientific Data Engineering. In this role, you will lead a team of Scientific Data Engineers, drive technical and organizational excellence, and foster a culture of accountability and collaboration. You will also be responsible for managing performance, career development, and organizational design as teams scale.

This is an exciting opportunity to make a significant impact in the field of scientific data engineering.

Responsibilities

• Additionally, you will identify inefficiencies in engineering workflows, design and implement systems to increase velocity, and establish meaningful engineering metrics.
• Supervise and guide Scientific Data Engineers in planning, implementation, testing, and documentation, fostering a culture of accountability and continuous improvement.
• Proactively identify inefficiencies in engineering workflows, processes, and cross-team handoffs, and design and implement systems that increase velocity and reduce friction.
• Partner closely with Product, Design, and other stakeholders to align priorities and timelines, and communicate progress, risks, and trade-offs clearly to executive leadership.

Requirements

• Comfortable working in a changing environment and navigating through unclear requirements
• Experience managing managers and building organizational structure as teams grow
• Excellent communication skills, with experience presenting to executive stakeholders
• Demonstrated commitment to engineering excellence — quality, reliability, and maintainable systems, not just shipping speed
• Experience setting and using engineering metrics to drive decisions and improvements
• Overall 10+ years of work experience, including at least 5 years being a manager or leading through other managers
• Strong technical background with the credibility to engage deeply on architecture and design decisions
• Proven track record of identifying and resolving operational inefficiencies at scale (process, tooling, or organizational)
• History of building or maturing engineering processes from scratch (SDLC, release management, incident response)
• Experience with distributed/remote engineering teams
• Experience working in startups
• Experience in working with life science data
• Experience scaling an engineering org through significant growth (e.g., 2x–5x headcount)

Pay

USD 150,000 - 230,000