Head of Data & Analytics

As the Head of Data & Analytics at our company, you will play a crucial role in leading the implementation and delivery organization for large health systems, payers, and provider groups. Your responsibilities will include overseeing a multidisciplinary team of over 150 members, ensuring successful enterprise deployments, and driving measurable outcomes on the Innovaccer platform. Key Responsibilities: - Define and execute the enterprise data engineering strategy. - Design scalable data lake, data warehouse, and lakehouse architectures. - Implement modern data architecture approaches such as Data Mesh and Data Fabric. - Establish scalable frameworks for enterprise data access, governance, and analytics enablement. - Lead development of large-scale ETL/ELT data pipelines for healthcare data processing. - Enable real-time and batch data processing platforms. - Ensure platform scalability, reliability, performance, and security. - Support large-scale data integration across clinical, claims, and operational datasets. - Lead and scale global data engineering and analytics teams (150+ members). - Hire, mentor, and develop senior engineering leaders, architects, and delivery managers. - Establish engineering standards, delivery frameworks, and operational excellence models. - Drive Agile delivery practices for large-scale enterprise implementations. - Partner with Data Science, Product, Engineering, and Analytics teams. - Align data platform architecture with product and business strategy. - Enable enterprise initiatives related to AI, Machine Learning, and advanced analytics. - Establish enterprise data governance frameworks and policies. - Implement data quality monitoring, metadata management, and data cataloging. - Ensure compliance with healthcare regulations including HIPAA and GDPR. - Maintain strong data privacy, security, and regulatory compliance frameworks. Qualifications Required: - 15 to 25 years of experience in healthcare delivery, health IT, population health, or payer/provider operations. - Proven experience leading large delivery or implementation organizations (200-500+ employees). - Strong experience implementing enterprise-scale healthcare data platforms and analytics solutions. - Demonstrated financial leadership with experience managing delivery P&L and margin performance. - Strong executive presence with the ability to engage with CXOs and senior stakeholders. - Experience working in high-growth SaaS or HealthTech organizations. - Strong understanding of value-based care, care management, risk adjustment, and quality programs. - Certifications in program management, cloud architecture, or healthcare informatics are a plus. As the Head of Data & Analytics at our company, you will play a crucial role in leading the implementation and delivery organization for large health systems, payers, and provider groups. Your responsibilities will include overseeing a multidisciplinary team of over 150 members, ensuring successful enterprise deployments, and driving measurable outcomes on the Innovaccer platform. Key Responsibilities: - Define and execute the enterprise data engineering strategy. - Design scalable data lake, data warehouse, and lakehouse architectures. - Implement modern data architecture approaches such as Data Mesh and Data Fabric. - Establish scalable frameworks for enterprise data access, governance, and analytics enablement. - Lead development of large-scale ETL/ELT data pipelines for healthcare data processing. - Enable real-time and batch data processing platforms. - Ensure platform scalability, reliability, performance, and security. - Support large-scale data integration across clinical, claims, and operational datasets. - Lead and scale global data engineering and analytics teams (150+ members). - Hire, mentor, and develop senior engineering leaders, architects, and delivery managers. - Establish engineering standards, delivery frameworks, and operational excellence models. - Drive Agile delivery practices for large-scale enterprise implementations. - Partner with Data Science, Product, Engineering, and Analytics teams. - Align data platform architecture with product and business strategy. - Enable enterprise initiatives related to AI, Machine Learning, and advanced analytics. - Establish enterprise data governance frameworks and policies. - Implement data quality monitoring, metadata management, and data cataloging. - Ensure compliance with healthcare regulations including HIPAA and GDPR. - Maintain strong data privacy, security, and regulatory compliance frameworks. Qualifications Required: - 15 to 25 years of experience in healthcare delivery, health IT, population health, or payer/provider operations. - Proven experience leading large delivery or implementation organizations (200-500+ employees). - Strong experience implementing enterprise-scale healthcare data platforms and analytics solutions. - Demonstrated financial leadership with experience managing deliv