Associate Director Implementation Engineering in Noida 0-5 year(s)

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Dadri

On-site

INR 3,500,000 - 5,200,000

Full time

14 days+

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Job summary

Innovaccer in India is seeking an experienced Data Engineering Leader to drive enterprise data vision and architect scalable cloud-based platforms including data lakes, warehouses, and streaming systems.

You will oversee a 40+ member multidisciplinary team, onboard customers to the Innovaccer platform, and collaborate with data science, analytics, product, and engineering to align data architecture with business goals.

Responsibilities

  • Lead and execute enterprise data vision by aligning data strategy with business objectives and architecting scalable cloud-based data platforms.
  • Oversee a 40+ member multi-disciplinary team responsible for onboarding customers onto the Innovaccer platform and ensuring successful deployments.
  • Define and execute the company's data engineering strategy while designing scalable data platforms including data lakes, warehouses, and streaming systems.
  • Lead and grow data engineering teams by hiring senior engineers and managers and establishing engineering standards and best practices.
  • Oversee ETL/ELT pipelines and manage real-time and batch processing systems while ensuring reliability, scalability, and security.
  • Partner with Data Science, Analytics, Product, and Engineering teams to align data architecture with business goals and support AI/ML initiatives.
  • Implement data quality frameworks, data governance policies, and ensure regulatory compliance with GDPR, HIPAA, and other standards.
  • Own end-to-end implementation outcomes including delivery quality, timelines, data readiness, customer satisfaction, and financial performance of delivery organization.

Skills

Healthcare Data Standards
HL7
FHIR
C-CDA
X12/EDI
Claims Processing
Quality Measures
Data Engineering
Cloud Platforms
Team Leadership

Job description

Key Skills


  • Healthcare Data Standards

  • HL7

  • FHIR

  • C-CDA

  • X12/EDI

  • Claims Processing

  • Quality Measures

  • Data Engineering

  • Cloud Platforms

  • Team Leadership


Good to Have Skills


  • Experience in high-growth SaaS or healthtech environments

  • Familiarity with modern cloud data platforms (AWS/Azure/GCP)

  • Strong understanding of value-based care, care management, risk adjustment, and quality programs

  • Certifications in program management, technical architecture, or healthcare informatics


Roles & Responsibilities


  • Lead and execute enterprise data vision by aligning data strategy with business objectives and architecting scalable cloud-based data platforms.

  • Oversee a 40+ member multi-disciplinary team responsible for onboarding customers onto the Innovaccer platform and ensuring successful deployments.

  • Define and execute the company's data engineering strategy while designing scalable data platforms including data lakes, warehouses, and streaming systems.

  • Lead and grow data engineering teams by hiring senior engineers and managers and establishing engineering standards and best practices.

  • Oversee ETL/ELT pipelines and manage real-time and batch processing systems while ensuring reliability, scalability, and security.

  • Partner with Data Science, Analytics, Product, and Engineering teams to align data architecture with business goals and support AI/ML initiatives.

  • Implement data quality frameworks, data governance policies, and ensure regulatory compliance with GDPR, HIPAA, and other standards.

  • Own end-to-end implementation outcomes including delivery quality, timelines, data readiness, customer satisfaction, and financial performance of delivery organization.


Experience Required


  • 1525 years of experience in healthcare delivery, health IT, population health, or payer/provider operations.

  • Proven success leading large delivery or implementation organizations with 30-40 people.

  • Strong financial acumen and experience owning delivery P&L and margin performance.

  • Experience implementing complex healthcare data platforms, analytics solutions, or clinical systems at enterprise scale.

  • Executive presence with ability to influence and communicate with customer CXOs.

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