The ideal candidate will demonstrate a unique blend of strategic leadership, technical acumen, and organizational influence to drive enterprise-scale technology initiatives.
This role requires proven ability to lead complex programs, manage risk, and foster innovation while ensuring operational excellence.
Builds and manages teams by performing financial activities to inform workforce strategy and hiring practices, setting and tracking maturity and quality objectives, and training employees/teams to address feedback and achieve quality and performance objectives.
Facilitates performance and career development of employees/teams through performance reviews, coaching, and creating development plans that are needed to build competencies and skills.
Manages solution delivery and application performance in production, ensuring all relevant risk, financial, and compliance policies are met.
Contributes to the technology strategy for their technical domain.
Requirements
Over a decade of executive experience leading large-scale data platform strategies across Hadoop, Teradata and distributed computing systems.
Proven leadership in enterprise data architecture, driving scalability, reliability, and modernization of complex analytics platforms.
Oversight of security and identity integration, including large-scale AD/Kerberos implementations to strengthen enterprise data governance.
Experience in cluster optimization and performance engineering, ensuring efficient resource management and operational excellence.
Broad technical leadership spanning infrastructure, data engineering, automation, and modern development practices.
Strong champion of DevOps, automation, and continuous delivery, advancing engineering efficiency through tools like Ansible, Jenkins, and Bitbucket.
Track record of building high-performing engineering teams, uplifting standards for monitoring, alerting, and operational resilience.