Senior Manager, Data Engineering

Hummingbird Healthcare

3d•$141,000 - $184,000•Remote

About The Position

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.

Requirements

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
Experience managing complex dependencies across teams, systems, and technical domains
Strong communication and alignment skills across both technical and non-technical stakeholders, including senior leadership
Hands-on experience using AI-powered development tools—Claude, Cursor, Copilot, or similar—to build or ship something real, whether in a professional or personal context, and the ability to bring that experience to a team

Nice To Haves

Experience leading complex programs or multiple workstreams across technology and data functions
Background working in regulated, secure, or high-trust environments (healthcare experience a plus)
Experience in startup or fast-paced environments where you've had to build structure while moving quickly

Responsibilities

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