- Location
- Noida, Uttar Pradesh, India · published
- Type
- Full-time
- Department
- Engineering
- Seniority
- Director
- Source
- Workable
Description
Engineering at Innovaccer
With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world.
About the Role
We are seeking a highly experienced Associate Director, Data Engineering & Analytics - Customer Success to lead our implementation and delivery organization for large health systems, payers, and provider groups. This leader will oversee a 40+ member multi-disciplinary team responsible for onboarding customers onto the Innovaccer platform and ensuring successful deployments with measurable outcomes.
The ideal candidate brings a rare combination of deep healthcare delivery expertise, strong technical grounding in healthcare data standards, proven large-scale delivery leadership, and exceptional operational and financial discipline. You will own end-to-end implementation outcomes, including delivery quality, timelines, data readiness, customer satisfaction, and the financial performance (margins) of the delivery organization.
A Day in the Life
You will lead and execute the enterprise data vision by aligning data strategy with business objectives, architecting scalable cloud-based data platforms, and building high-performing Data Engineering and Analytics teams. You will ensure strong governance, reliability, and cost efficiency while enabling trusted self-service analytics. In close partnership with executive stakeholders, you will translate strategic priorities into impactful data initiatives and support advanced analytics and AI/ML capabilities that drive enterprise-wide decision-making and growth.
- Data Strategy & Architecture
- Define and execute the company’s data engineering strategy
- Design scalable data platforms (data lakes, warehouses, streaming systems)
- Oversee cloud data infrastructure (AWS, Azure, GCP)
- Team Leadership
- Lead and grow data engineering teams
- Hire senior engineers and managers
- Establish engineering standards and best practices
- Platform & Infrastructure
- Oversee ETL/ELT pipelines
- Manage real-time and batch processing systems
- Ensure reliability, scalability, and security
- Cross-Functional Collaboration
- Partner with Data Science, Analytics, Product, and Engineering
- Align data architecture with business goals
- Support AI/ML and analytics initiatives
- Governance & Compliance
- Data quality frameworks
- Data governance policies
- Regulatory compliance (GDPR, HIPAA, etc.)
What You Need
- 15–25 years of experience in healthcare delivery, health IT, population health, or payer/provider operations.
- Deep expertise in healthcare data standards (HL7, FHIR, C-CDA, X12/EDI, Claims, Quality Measures).
- Proven success leading large delivery or implementation organizations (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.
- Demonstrated operational discipline, problem-solving, and accountability mindset.
- 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.