QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field; Master’s degree preferred.
• 12+ years of progressive experience in data management, data architecture, or data governance, with at least 5+ years in leadership roles managing teams.
• Experience leading data initiatives in complex organizations, ideally within the healthcare industry.
• Understanding of healthcare data domains, including EHRs, claims, clinical, operational, and financial data.
• Expertise in modern data architectures, cloud platforms (e.g., AWS, Azure, GCP), and contemporary data tools and frameworks.
• Knowledge of healthcare regulatory requirements and data privacy laws.
• Leadership skills, including team building, mentoring, and talent development for diverse teams.
• Communication skills with the ability to influence and collaborate with technical teams.

PREFERRED EXPERIENCE

• Experience in healthcare provider, payer, or health tech environments.
• Familiarity with interoperability standards such as HL7, FHIR, and other healthcare data exchange protocols.
• Exposure to advanced analytics, AI/ML, or health informatics.

• Develop and execute the data management strategy in alignment with organizational goals and regulatory requirements.
• Lead data governance programs to ensure data integrity, consistency, and quality across systems and business units.
• Oversee the design, architecture, and operations of data platforms, data lakes, data warehouses, master data management (MDM), and data integration tools.
• Manage a multi-functional team of data professionals, fostering a high-performance, collaborative, and innovative culture.
• Collaborate with analytics, clinical informatics, business intelligence, and AI/ML teams to enable advanced analytics and insights for improved patient care, operational efficiency, and business outcomes.
• Ensure compliance with healthcare data privacy and security regulations (e.g., HIPAA, HITECH) and internal security policies.
• Champion data modernization and adoption of emerging data technologies, including AI initiatives.
• Develop and manage budgets, forecasts, and resource allocation for the Data Management function.
• Define and track key performance indicators (KPIs) to measure data quality, availability, security, and team performance.
• Engage with stakeholders to identify data needs and prioritize strategic initiatives.