New Product Development Lead

Qualified Health PBC

6d•$195,000 - $240,000•Hybrid

About The Position

The New Product Development Lead is a critical leadership hire responsible for building and leading a team focused on creating reusable data product artifacts at Qualified Health. These artifacts include transformation notebooks, validation pipelines, data specifications, IaC modules, and initial agentic LLM call development for clinical AI workflows. This role aims to establish a dedicated product engineering function, moving away from ad-hoc development to create tested, documented, and reusable components that can be rapidly deployed to new health system partners. The lead will own the backlog, set technical standards, and drive architectural decisions for scaling data products across three key areas: revenue cycle, care gap optimization, and quality registry abstraction. The goal is to significantly increase the throughput of integration teams by replacing per-partner reinvention with a library of production-grade, reusable components.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
8+ years in data engineering
3+ years in a technical leadership role
Deep Databricks/Spark expertise at the architecture level — performance tuning, cluster management, Delta Lake design patterns
Experience building reusable data frameworks, tooling, or platforms
Demonstrated ability to hire, develop, and retain strong engineers

Nice To Haves

Master's degree is preferred.
Exposure to ML/LLM pipeline development — model serving, prompt engineering in production, evaluation frameworks
Healthcare data experience (Epic Clarity, clinical data models, FHIR)
IaC experience (Terraform, Bicep)
Background building product-oriented data platforms (not just ETL/ELT pipelines)
Prior experience at a growth-stage startup where you built a team from scratch

Responsibilities

Build and lead a team of 4-5 data engineers focused on new builds
Own the product data engineering backlog in partnership with product management
Define and enforce technical standards for notebooks, pipelines, QC modules, and documentation
Drive the development of reusable data provisioning modules (IaC) and pipeline tooling
Lead the build-out of data transformation and validation notebooks for agentic workflows
Oversee initial agentic LLM call development within data pipelines — including prompt engineering, model serving patterns, and evaluation frameworks
Own data spec documentation and ensure specs are maintained as products evolve
Collaborate closely with Client Integration Directors to ensure product artifacts deploy cleanly into customer environments
Develop team members technically and professionally; create a high-output engineering culture