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Senior Manager, Data Engineering

Headway
New York City, USA
Full-time
Senior · 8+ years experience
Hybrid
USD 212000-265000 yearly / year
Discovered 1 months ago
dbt

Full Job Posting

About the Role

As Senior Manager, Data Engineering, you will define and lead the technical strategy for Headway's data infrastructure. The team's mission is to build and maintain the reliable, scalable data systems that power analytics, machine learning, and operational decision-making across the company.

You will report into Headway's Data organization, a mission-critical pillar that ensures our data assets are accurate, timely, and accessible. Trustworthy data infrastructure is foundational to Headway's growth — enabling every team to build, measure, and improve with confidence.

You will partner closely with Data Science, Analytics, Product, and Engineering to deeply understand and anticipate the data needs of a fast-growing healthcare company. You will define the right architectural investments, proactively surface reliability and scalability risks, and use engineering rigor to guide decisions from early design through launch and iteration.

You will

Lead and grow a high-performing team of Data Engineers, fostering a culture of technical excellence, ownership, and craftsmanship.

Develop quarterly roadmaps with cross-functional partners on Data Science, Operations and Engineering, align Data Engineering resources, and oversee execution of timely, high-quality work.

Own the architecture and reliability of Headway's data platform — including our data warehouse, ingestion pipelines, transformation layer (dbt), and orchestration systems.

Define and champion engineering standards: data modeling conventions, pipeline observability, SLA frameworks, and data quality monitoring.

Partner cross-functionally to design and build the data infrastructure that powers analytics, experimentation, ML models, and operational tooling at scale.

Stay close to the work by engaging directly with strategic technical challenges, surfacing gaps in our platform capabilities before they become bottlenecks.

Translate complex data decisions into clear, actionable recommendations for executive stakeholders.

You will love this role if

You have 8+ years of experience in data engineering or related roles

You have 3+ years of experience managing and developing teams

You have experience building and scaling data platforms in a high-growth, cloud-native environment (highly preferred)

You have proven success partnering cross-functionally with Data Science, Analytics, and Product Engineering

You have deep expertise in data warehouse design, pipeline architecture, and transformation frameworks — with the ability to coach others through complex technical trade-offs

We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.

Headway participates in E-Verify. To learn more, click here.

A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers . Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @ findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.

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