VP, Enterprise Data Governance & Protection.

Humana - Providence, RI

Full-time - Executive

Providence, RI

Insurance Carriers and Related Activities

About the position

The Vice President, Enterprise Data Governance & Protection at Humana is a pivotal role responsible for leading the company's data strategy, which encompasses the acquisition and protection of data assets, governance processes, sensitive data management, data literacy, and data quality. This position requires collaboration with senior stakeholders across Technology and various business units to drive enterprise-wide change while building and mentoring a team of experts. The ideal candidate will be a visionary leader with a strong background in applied data governance processes and relevant legislation governing personal and health data. They will manage a diverse portfolio of programs and leverage innovative machine learning and artificial intelligence approaches to enhance data governance and protection strategies. In this role, the VP will establish an enterprise data strategy that enables large-scale data science and AI initiatives. They will contribute to Humana's digital transformation by fostering a data-rich environment supported by best practices in data management. The Enterprise Data Governance leader will act as a consultant and advisor, influencing executive leaders and their teams to adopt effective data practices. Additionally, the VP will oversee the data security strategy, focusing on data loss prevention and implementing technologies such as encryption and tokenization to safeguard sensitive information. Close collaboration with technology stakeholders will be essential to enforce robust security controls and ensure compliance with data protection regulations. Key responsibilities include building and leading a world-class organization of experts in sensitive data governance, enhancing data governance capabilities, and managing the execution of a roadmap that integrates data capabilities into business operations. The VP will also engage with executives and the analytics community to promote the value of data and guide safe data usage practices. They will lead initiatives in artificial intelligence and machine learning to align data strategy with organizational capabilities, enhance data loss prevention programs, and modernize data governance practices. Furthermore, the VP will conduct data risk assessments to identify and mitigate data security risks across various applications and initiatives, partnering with Security Architecture and Enterprise Architecture to implement effective solutions.

Responsibilities

• Build and lead a vibrant, world-class organization including experts in sensitive data governance, data lineage and mapping, data enrichment, data quality, data democratization, innovation and data program management.
• Operate and enhance data governance capabilities by managing the creation and execution of a continuously improving roadmap of capabilities (technology, people, budgets and processes) to ensure data capabilities are effectively integrated into business execution.
• Provide expertise, consult and lead innovation, tap into new innovative data sources, invest and partner to buy or build modern tools improving data quality, data anonymization, differential privacy and synthetic data creation.
• Interact with executives and the analytics community to articulate the value of data and guide on effective and safe data use practices.
• Engage in AI (GAI) and ML initiatives to ensure data strategy is aligned to deliver on the capabilities to enable the organization.
• Enhance and execute data loss prevention (DLP) program strategy, to improve cybersecurity controls around data exfiltration.
• Manage the engineering capabilities, including tools that enable encryption/tokenization, DLP and CASB (Cloud Access Security Broker), and continuously mature the program.
• Modernize data scanning, tagging and labeling to aid in data governance and improve the data loss prevention capabilities.
• Lead the Data Risk Assessment Cybersecurity program to identify and manage data security risks across applications and various business and technology initiatives.
• Partner with Security Architecture and Enterprise Architecture to select and implement solutions that enable data governance and data security outcomes.

Requirements

• Seven or more years of leadership experience of data governance organizations in a corporate environment, in fast paced, complex and matrix organizations.
• Ten or more years of data governance experience in a corporate setting including on-prem and cloud environments.
• Relevant experience with data protection strategies, including encryption, tokenization, data loss prevention and access controls.
• Experience with cyber security assessments and controls in the space of data security and protection.
• Relevant experience in health, consumer goods or technology industries.
• Successfully integrating and leveraging strategic data governance with business objectives, translating data processes into business insights and actionable customer management strategies yielding positive measurable financial outcomes.
• Prior hands-on experience and/or leadership responsibility for the technical tools of the trade, including data mapping and cataloging software, data marketplace and data enrichment systems.
• Deep experience in data architecture, warehousing, quality processes, and implementation.
• Strong evidence of ability to introduce emerging technologies and develop analytics based products, while maintaining cost awareness and commercial strategy.
• Advanced and/or dual degrees in Computer Science, Predictive Analytics, Statistics, Law, Data Security, Mathematics, or related. Ph.D. in a relevant area or an MBA is an additional asset.