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Innovaccer

Healthcare data analytics platform.

Director Forward-Deployed Engineering

Engineering LeadershipPosted on Nov 5
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • At least 12 years of experience in software engineering, technical consulting, or enterprise systems architecture.
  • At least 5 years of experience in US Healthcare, HealthTech, or Digital Health, working directly with clinical data ecosystems.
  • At least 5 years of experience managing a manager-of-managers organization or multiple concurrent, customer-facing technical delivery teams.
  • A bachelor's degree in Computer Science, Biomedical Engineering, or Health Informatics, or equivalent practical experience.
  • Hands-on experience building, optimizing, and deploying enterprise-grade AI agents.
  • Proficiency designing and managing batch and real-time big data processing systems, pipeline orchestration, Medallion Architecture, and end-to-end ETL/ELT pipeline engineering.
  • Operational knowledge of healthcare standards including HL7, FHIR, C-CDA, and X12/EDI.

Responsibilities

  • Hire, mentor, and scale multiple customer-facing engineering teams across regions, optimizing global resource allocation across health systems, payers, and life sciences clients.
  • Empower autonomous teams to own, track, and execute comprehensive implementation delivery plans from discovery to live production.
  • Focus engineering execution on business and clinical metrics, including reducing administrative burden and improving workflow efficiency, to drive customer retention and high NPS/CSAT.
  • Establish organizational standards for data integrity, product quality, architectural reviews, and formal customer sign-off criteria.
  • Guide teams in building high-throughput pipelines to ingest structured and unstructured datasets, including EHR notes, lab results, imaging metadata, and claims, via HL7, FHIR, and DICOM.
  • Standardize validation frameworks to sanitize, deduplicate, and normalize raw, heterogeneous healthcare data for downstream AI/ML consumption.
  • Implement automated data-quality testing and schema-enforcement protocols to intercept data corruption or format mismatches before ingestion and ensure clinical data integrity.
  • Oversee platform configuration, tailoring core software capabilities to specific clinical workflows and healthcare operational taxonomies.
  • Lead native platform deployments into complex enterprise ecosystems, integrating with production EHR systems and provider workflows.
  • Design scalable pre-sales and post-sales technical solution architectures aligned with customer requirements and platform capabilities.
  • Oversee forward-deployed development, local integration, optimization, and fine-tuning of autonomous and semi-autonomous AI agents using LLM orchestration frameworks.
  • Enforce deployment-level guardrails, real-time monitoring, and safe-output standards for clinical AI agent rollouts.

About the Company

Innovaccer

Healthcare data analytics platform.

Innovaccer provides a Health Cloud platform that connects, curates, and analyzes healthcare data to improve patient outcomes and reduce costs. The platform lets healthcare providers manage transitional care, lower 30-day readmissions, and expand primary care services, while giving pharmaceutical companies like Roche contextualized patient insights to lower development costs and risk. Revenue comes from clients paying for platform use. Unlike others, Innovaccer demonstrates value through measurable results (e.g., a CHESS $3 million value and a 23% reduction in 30-day readmissions) and earns high scores in independent analytics rankings (e.g., 94.9/100 in KLAS Data & Analytics Platforms with “A” across all six Customer Experience Pillars). The company's goal is to turn healthcare data into practical, scalable insights that improve clinical and financial outcomes for providers, life sciences partners, and patients.

Company size
1,001-5,000
Company stage
Private
Total funding
$653.1M
Headquarters
San Francisco, CA
Founded
2012

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