---
title: 'Sr. Director, Data Engineering + Integrations at Prolaio'
canonical: 'https://feeny.ai/job/sr-director-data-engineering-integrations-prolaio-chicago-6cmmtwy80pex'
type: 'job'
last_seen: '2026-09-09'
---

# Sr. Director, Data Engineering + Integrations at Prolaio

- **Company:** Prolaio
- **Location:** Chicago, IL
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/prolaio/jobs/5396096008

## Job description

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology, and we know it’s within reach.

What Will You Do?

The Overview

The Director/Sr. Director, Data Engineering will lead and scale Prolaio’s healthcare data engineering capabilities that power its clinical intelligence products, real-world data pipelines, analytics, data science, clinical operations, quality, and data services in a regulated environment, building secure, reliable, and AI-enabled data platforms that transform continuous, predictive, and shareable heart data into faster therapeutic discovery and better cardiovascular outcomes while operating as a self-starter senior leader in a growth-stage company. This role will ensure that core data engineering features and services are built with security, privacy, compliance, and auditability by design, and other regulatory expectations relevant to Prolaio’s clinical and patient-data environment. This role will partner with colleagues in Product, Engineering, Quality, Clinical Operations to embed security, privacy, HIPAA and regulatory expectations into every layer of the data engineering features. This is a role for a self-starter and experienced engineering leader who brings both organizational leadership and strong technical credibility in designing, building, and continuously enhancing data engineering and AI-enabled data pipeline features in a growth-stage company.

The Specifics

- Lead Prolaio’s enterprise data engineering strategy and roadmap to deliver secure, scalable, and reliable data platform capabilities aligned to clinical, research, product, and AI priorities in regulated healthcare settings.
- Architect and oversee end-to-end data flows and reusable pipelines for ingestion, validation, transformation, enrichment, publishing, retention, archival, and decommissioning across batch, streaming, and hybrid workloads.
- Own the design and implementation of scalable, secure, and interoperable data platforms that support structured, semi-structured, and unstructured clinical, operational, device, and patient-generated data relevant to Prolaio’s cardiovascular mission.
- Define and enforce engineering standards for data modeling, lifecycle management, lineage, provenance, traceability, and auditability, embedding HIPAA, privacy, security, and GxP-aligned practices into day-to-day development workflows.
- Partner closely with Data Architecture to design and govern conceptual, logical, and physical data models, apply healthcare standards (e.g., HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, CDISC), and deliver analysis-ready, interoperable datasets.
- Build and evolve robust data engineering capabilities across modern cloud platforms (e.g., GCP, AWS, Azure) and data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Synapse), including orchestration, metadata, APIs, and integration patterns.
- Lead the development of AI-enabled data engineering features such as intelligent data quality monitoring, metadata enrichment, semantic search, feature generation workflows, and automation that accelerate analytics, data science, and clinical research teams.
- Collaborate with Quality, Clinical Operations, Security, Product, and Engineering to embed validation, change management, governed data access, master data management, and release readiness into the data platform lifecycle.
- Establish and manage high-performing data engineering teams, providing clear ownership, coaching, and execution discipline suited to a fast-moving growth-stage environment, while influencing architecture and implementation decisions across a matrixed organization.
- Support vendor and tool evaluation, including build-versus-buy decisions for data integration, quality, metadata, lineage, interoperability, and AI-enabled data management capabilities.

Why Prolaio?

- Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
- Innovative Environment: You will be part of an organization doing something that’s never been done before.
- Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
- Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?

- Bachelor’s degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field.
- Minimum 15 years of experience in healthcare, medtech, life sciences, digital health, or another patient-focused environment, with meaningful responsibility for data platforms, platform engineering, or cloud-native enterprise platforms.
- At least 7 years of experience as a Director or Sr. Director (or equivalent senior leadership role) leading data engineering or closely related data platform teams in growth-stage or innovation-driven organizations.
- Demonstrated experience architecting and delivering healthcare data platforms that support structured, semi-structured, and unstructured data, with proven success in regulated or validated environments.
- Deep understanding of healthcare data domains (clinical trials, cardiovascular and physiological data, real-world data, claims, medication, socio-economic and behavioral data) and the application of healthcare terminologies and common data models (e.g., HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, CDISC).
- Proven experience designing and operating end-to-end data flows, scalable pipelines, lineage, provenance, traceability, and data lifecycle management that support product, analytics, data science, clinical operations, quality, and data services use cases.
- Strong familiarity with cloud platforms such as GCP, AWS, or Azure and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or comparable environments, including hands-on work with orchestration, APIs, and integration.
- Strong software engineering and data engineering experience with Python and SQL and at least one of Java or .NET, with a track record of building internal data platform features, services, and developer tooling; experience with modern front-end frameworks (e.g., Angular or React) is good to have. Experience in developing Agentic pipelines would be a plus.
- Demonstrated ability to work effectively in cross-functional, matrixed organizations, partnering with Product, Engineering, Data Science, Analytics, Clinical Operations, Quality, and Security, with a self-starter mindset and comfort with ambiguity in a growth-stage environment.
- Familiarity with metadata, lineage, catalog, governance, and AI-enablement tools, including platforms for semantic indexing, vectorization, retrieval, and data lifecycle automation, and experience implementing governed data access and privacy-aware architectures.

## Why You’ll Love Working Here

- Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
- Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
- Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
- Time to Recharge: Generous paid time off, sick leave, and company holidays.
- Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
- Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
- Plan for the Future: 401(k) plan to help you build long-term financial security.
- Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $229,000.00 (Exact Compensation may vary based on skills, experience, and location

## About Prolaio

## Company Overview
- **One-liner**: Prolaio is a clinical intelligence company that uses a connected platform of near real-time heart data and AI to help patients, clinicians, and researchers manage cardiovascular conditions and accelerate the development of new therapies.
- **Entity Type**: Private (startup; combined with Kardigan in 2025)
- **Headquarters**: Chicago, Illinois, USA
- **Founded**: 2022
- **Founders**: Derek Evans (Co-Founder); other founders not publicly disclosed.

## Core Business
- **Primary industry**: Healthtech / Cardiovascular Clinical Intelligence
- **Target customers**: B2B (healthcare providers, clinical researchers, pharmaceutical companies) and B2C (patients with cardiovascular conditions like heart failure and hypertrophic cardiomyopathy)
- **Mission statement**: "Transform real‑world heart data into faster discovery today and precision care for functional cures tomorrow."

## Products & Services
- **Prolaio Clinical Intelligence Platform**: An integrated platform that collects continuous, high‑density heart data (via a mobile relay device and on‑body sensors) and applies proprietary AI algorithms to generate measures of cardiovascular function. The insights are used to improve clinical decision-making, monitor patients remotely, and support clinical trials for new therapies.  
  *Type*: SaaS + Medical Device (cloud analytics, AI algorithms, data relay hardware)

## Market Standing
- **Valuation / Funding**: Not publicly available.  
- **Key Metrics**:
  - 4M+ hours of on‑body patient data collected
  - 7 FDA‑cleared algorithms
  - 20+ issued patents
  - 40+ proven algorithms
  - 26+ countries served
- **Notable Investors/Partners**: Not disclosed. The company is closely linked to **Kardigan** (a cardiovascular drug development company), with which it merged to form a combined heart health company.
- **Growth Signals**:
  - Named a **Best Places to Work 2026** and **World's Top HealthTech Companies of 2025**.
  - Active hiring (9 open roles as of mid‑2026) across data science, engineering, product, and regulatory.
  - Hybrid work model with flexible on‑site presence in Chicago.

## Competitive Advantages
- **High‑density, real‑world heart data**: Combines continuous on‑body monitoring with AI analytics, offering richer insights than traditional episodic care.
- **Integration with drug development**: Through the merger with Kardigan, Prolaio’s platform directly supports parallel clinical trials for multiple cardiovascular therapies, shortening development timelines.
- **Regulatory maturity**: Seven FDA‑cleared algorithms demonstrate a strong regulatory pathway and clinical validation.
- **Patent portfolio**: 20+ issued patents protect the core technology.

## Strategic Focus
- Advance the clinical intelligence platform to support faster, more efficient cardiovascular drug development.
- Scale the platform to more patients and research sites (already in 26+ countries).
- Leverage the combination with Kardigan to create a vertically integrated heart health company that spans both data analytics and therapeutics.
- Continue to expand AI capabilities (hiring for Director of AI Enablement, Product Manager AI, etc.).

## Why Work Here
- **Culture**: Value‑driven organization emphasizing scientific rigor, patient‑centricity, a growth mindset, collaboration, and relentless determination. Listed as a "Best Places to Work 2026" by Built In.
- **Work model**: Hybrid – flexible on‑site work at Chicago HQ; employees typically spend a mix of remote and on‑site time.
- **Benefits**: Competitive health insurance, generous paid time off, 401k retirement plan, professional development opportunities.
- **Engineering culture**: High emphasis on AI, data science, and cloud infrastructure; open roles include Data Architect Clinical, Director AI Enablement, Lead Software Quality Engineer, Mobile Android Engineer, and Senior Integrations Engineer.
- **Team**: Diverse group of experts in cardiovascular medicine, science, technology, and healthcare (82 total employees as of mid‑2026).

## Sources
1. [Prolaio.com](https://www.prolaio.com/)
2. [Prolaio About Page](https://www.prolaio.com/about)
3. [Prolaio Careers Page](https://www.prolaio.com/careers)
4. [Prolaio Job Board (Greenhouse)](https://job-boards.greenhouse.io/prolaio)
5. [Built In Prolaio Profile](https://builtin.com/company/prolaio)

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