The Vice President, Integrated Data Engineering Advancement is a strategic technology leadership role responsible for advancing Humana's enterprise data capabilities. This executive will drive the vision, strategy, and execution of integrated data engineering initiatives, enabling operational and analytic reporting across the organization. The leader will oversee teams responsible for data warehousing, enterprise data product development, data movement and submissions, and data mastering in both cloud and on-premises environments. The VP will collaborate closely with business and IT partners to ensure the right data is delivered to the right people at the right time, empowering data-driven decision making.
Key Responsibilities:- Develop and execute the strategic roadmap for integrated data engineering advancement aligned with enterprise objectives.
- Lead and mentor a diverse team of data engineers, architects, and analysts across multiple domains, fostering an inclusive and high-performing culture.
- Oversee the design, implementation, and optimization of data platforms, data warehousing, and enterprise data products.
- Guide the migration, integration, and management of data across cloud and on-premises environments, ensuring data quality, security, and compliance.
- Partner with stakeholders to understand business needs, translating them into scalable, robust data solutions.
- Drive innovation in data mastering, governance, and operational reporting to maximize business value.
- Ensure timely and accurate data movement and submissions for regulatory, operational, and analytic purposes.
- Promote best practices in data architecture, engineering, and agile delivery methodologies.
- Represent Integrated Data Engineering Advancement in executive forums, cross-functional initiatives, and external partnerships as needed.
Use your skills to make an impact Required Qualifications: - Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's degree preferred.
- Significant leadership experience in enterprise data engineering, data architecture, or related areas within large, complex organizations.
- Demonstrated success in leading large teams and managing enterprise-scale data initiatives.
- Strong expertise in cloud and on-premises data platforms, data warehousing, ETL, and data integration.
- Experience with modern data technologies, low code solutions, and business intelligence/visualization tools.
- Excellent communication, collaboration, and stakeholder management skills.
- Proven ability to drive transformational change in a highly regulated environment.
Preferred Qualifications: - Experience in the healthcare, insurance, or financial services industries.
- Background in agile delivery and continuous improvement methodologies.
- Active involvement in industry groups or community service initiatives.
Scheduled Weekly Hours40
