Head - Data & Analytics - Healthcare

• Role: Head of Data & Analytics
• Location: Noida
• Overview:

• We are seeking a highly experienced Head - Data & Analytics to lead the implementation and delivery organization for large health systems, payers, and provider groups.
• This leader will oversee a 150+ member multi-disciplinary team responsible for onboarding customers onto the company's platform and ensuring successful deployments with measurable outcomes.
• The ideal candidate brings a strong blend of healthcare delivery expertise, deep knowledge of healthcare data standards, large-scale delivery leadership, and operational and financial discipline. The role 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:

In this role, 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 data governance, reliability, and cost efficiency, while enabling trusted self-service analytics. Working closely 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.

Key Responsibilities:

1. Data Strategy & Architecture

• Define and execute the company's data engineering strategy.
• Design scalable data platforms such as data lakes, data warehouses, and streaming systems.
• Oversee cloud data infrastructure across AWS, Azure, and GCP.

2. Team Leadership

• Lead and scale high-performing data engineering teams.
• Hire senior engineers and managers.
• Establish engineering standards and best practices.

3. Platform & Infrastructure

• Oversee ETL/ELT pipelines and data workflows.
• Manage both real-time and batch processing systems.
• Ensure platform reliability, scalability, and security.

4. Cross-Functional Collaboration

• Partner with Data Science, Analytics, Product, and Engineering teams.
• Align data architecture with business goals.
• Support AI/ML and analytics initiatives.

5. Governance & Compliance

• Implement data quality frameworks.
• Establish data governance policies.
• Ensure compliance with regulations such as GDPR and HIPAA.

Requirements:

• 15-25 years of experience in healthcare delivery, health IT, population health, or payer/provider operations.
• Deep expertise in healthcare data standards such as HL7 FHIR, C-CDA, X12/EDI, Claims, and Quality Measures.
• Proven experience leading large delivery or implementation organizations (200-500+ people).
• Strong financial acumen with experience managing delivery P&L and margin performance.
• Experience implementing enterprise-scale healthcare data platforms, analytics solutions, or clinical systems.
• Ability to influence and communicate effectively with customer CXOs.
• Demonstrated operational discipline, strong problem-solving skills, 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.
• Relevant certifications in program management, technical architecture, or healthcare informatics.