Director, Forward-Deployed Engineering

Innovaccer

. Lead an elite organization of multiple cross-functional engineering teams dedicated to tier-one healthcare customers .

Posted 11/5/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading cross-functional engineering teams within healthcare ecosystems, focusing on the technical delivery and operational success of AI-driven platforms. Proficient in managing complex data ingestion pipelines and ensuring compliance with healthcare standards while optimizing resource allocation across various health systems.

Highest-signal resume keywords

AI Agent DeploymentHealthcare Data EcosystemsPipeline OrchestrationManager-Of-Managers ExperienceMedallion Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringEnterprise Systems ArchitectureBig Data ProcessingETL/ELT Pipeline EngineeringData Quality TestingSchema EnforcementData Integrity StandardsArchitectural ReviewsHealthcare Operational TaxonomiesAutomated Data Processing

Soft Skills

MentoringTeam EmpowermentCross-Functional CollaborationCustomer-Facing CommunicationLeadership

Tools & Technologies

HL7FHIRC-CDAX12/EDIEHR SystemsAI/ML FrameworksData Ingestion ToolsMonitoring ToolsIntegration PlatformsClinical Workflow Software

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBiomedical EngineeringHealth Informatics

Industry Keywords

HealthTechDigital HealthClinical DataHealthcare EcosystemsCustomer RetentionNPSCSATOperational SuccessResource AllocationData Normalization

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Lead an elite organization of multiple cross-functional engineering teams dedicated to tier-one healthcare customers
Own technical delivery, enterprise configuration, and operational success of an AI-driven platform within complex healthcare ecosystems
Mentor engineering managers and technical leads across a global footprint
Architect robust data ingestion pipelines
Configure complex enterprise software
Deploy production-grade, compliant AI agents into live healthcare environments
Hire, mentor, and scale multiple customer-facing engineering teams across regions
Optimize global resource allocation across health systems, payers, and life sciences clients
Empower teams to own, track, and execute implementation delivery plans from discovery through live production
Align engineering execution with business and clinical metrics to drive customer retention and high NPS/CSAT
Establish organizational standards for data integrity, product quality, architectural reviews, and customer sign-off criteria
Guide teams building high-throughput pipelines for structured and unstructured healthcare datasets, including EHR notes, lab results, imaging metadata, and claims
Standardize frameworks to validate, sanitize, deduplicate, and normalize healthcare data for AI/ML consumption
Implement automated data-quality testing and schema enforcement protocols
Oversee platform configuration for specific clinical workflows and healthcare operational taxonomies
Lead native platform deployments integrating with production EHR systems and provider workflows
Design scalable pre-sales and post-sales technical solution architectures
Oversee forward-deployed development, local integration, optimization, and fine-tuning of autonomous and semi-autonomous AI agents
Enforce deployment-level guardrails and real-time monitoring to ensure safe AI outputs

Requirements

What you’ll need

12+ years in software engineering, technical consulting, or enterprise systems architecture
5+ years within US Healthcare, HealthTech, or Digital Health sectors, working directly with clinical data ecosystems
5+ years managing a manager-of-managers organization or multiple concurrent, customer-facing technical delivery teams
Bachelor’s degree in Computer Science, Biomedical Engineering, Health Informatics, or equivalent practical experience
Hands-on experience building, optimizing, and deploying enterprise-grade AI Agents
Proficiency in designing and managing batch and real-time big data processing systems
Proficiency in pipeline orchestration
Proficiency in Medallion Architecture
Proficiency in end-to-end ETL/ELT pipeline engineering
Operational knowledge of HL7, FHIR, C-CDA, and X12/EDI
Experience with clinical data ecosystems
Experience with LLM orchestration frameworks

Benefits

Comp & perks

PTO benefit accrual of 20 days per year
Parental leave
Monetary incentives and recognition for dedication and outstanding performance
Medical, dental, and vision benefits
100% company-sponsored short-term and long-term disability insurance
Basic life insurance
Discounted legal aid options
Discounted pet insurance options