Senior Manager, Data Engineering

Hi. We’re Hummingbird.

We’re elevating patient access so patients can get healthcare how, when, and where they need it.  We partner with healthcare systems to transform how patients access care, enabling their providers to focus on what matters most – caring for patients. By managing patient access as a technology-enabled service, we help health systems stabilize costs and improve patient experience while creating good jobs that attract and retain talent in the industry.  Our team of experts is obsessed with the connection between the people, processes, and technology that make healthcare organizations hum. Join us and help build the healthcare experience we want for our communities, our families, and ourselves.

Summary

Responsibilities

About the Role

Clear the runway. Let great engineers fly.

This role isn't about writing the code—it's about making it possible for a high-performing team of data engineers to do the best work of their careers. As a Sr. Manager, Technology & Data at Hummingbird, you'll act as a force multiplier: translating complex, ambiguous problems into clear direction, keeping cross-functional and cross-client initiatives moving, and removing the barriers that slow great engineers down. Most of your day is spent on alignment, momentum, and architectural guidance—not tickets.

You'll also lead the charge on AI-powered development—and this one's non-negotiable. You've already used tools like Claude, Cursor, or similar to build something real, whether at work or on your own time. Now you'll bring that firsthand experience to the team, driving adoption of AI coding assistants, automation, and agents as core parts of how the team operates—not a someday initiative, but the way we work now.

You'll serve as the initial face of the data engineering team with clients, translating their needs into scalable solutions without requiring every engineer to manage those relationships independently. And as the team grows (less senior engineers may be on the horizon), you'll help shape what that looks like too.

What You’ll Do

• Lead a small team of senior data engineers—breaking down ambiguous problems, removing blockers, and keeping engineers aligned on standards without micromanaging execution
• Serve as the initial client-facing voice of the team, translating client needs into scalable solutions and supporting conversations around data access, architecture, and governance
• Drive AI-powered development adoption across the team—tools like Claude or similar—to automate workflows, build agents, and improve efficiency while maintaining quality and architectural integrity
• Partner with leadership to evaluate AI tools and platforms, including due diligence, testing, and ROI assessment
• Guide data pipeline and platform architecture with an eye toward long-term scalability, not short-term fixes
• Conduct code and pull request reviews to reinforce standards, quality, and consistency
• Work cross-functionally to unblock data access, standardize data models, and align on a common data language
• Translate strategy into clear execution plans—sequenced, resourced, and aligned to business priorities
• Make and communicate tradeoff decisions on priorities, timelines, and architecture, surfacing risks and implications for leadership
• Coach team members on how work is done, not just what gets delivered

The Details

• Employment Eligibility: Candidates must be legally authorized to work in the United States without sponsorship
• Work Location: Remote. You must work from a location within the United States with consistent Internet service
• Work Type: Full-time
• Compensation: Expected range is $141,000 - $184,000. New hires usually start between $141,000 - $170,000, depending on experience and internal equity.
• Benefits: Comprehensive medical, dental, and vision coverage; paid time off; 401(k); parental leave; career development support; and more
• Travel: 2-3 trips per year for client meetings, training or conferences, or internal strategy sessions

What You’ll Bring

• 6–8+ years of experience delivering production systems or data solutions across domains such as data engineering, software engineering, analytics, infrastructure, or enterprise systems
• 2–4+ years in people leadership or equivalent, with a track record of leading high-performing technical teams
• Strong ability to make prioritization, sequencing, and resourcing decisions in environments with real complexity and ambiguity
• Proven ability to operate as a systems-level thinker—guiding architecture, connecting cross-domain solutions, and ensuring systems integrate and scale effectively
• Experi