Data & AI group manager

Skip to main content United States Saved jobs(0) - DescriptionData & AI group manager  This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.Who We Are:Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.Job Description:   Group Manager – Data & AILocation: IsraelAbout the RoleWe are seeking an experienced and visionary Group Manager – Data & AI to lead and scale our Data & AI organization.This is a high-impact leadership position with end-to-end ownership of the company's Data & AI strategy, execution, delivery, and business outcomes. The successful candidate will combine deep technical expertise with strong organizational leadership, driving the evolution of our data platforms while building the foundation for future AI capabilities.As Group Manager, you will lead Data Engineering managers, senior technical leaders, and engineering teams, shaping the long-term vision and roadmap for our data ecosystem. You will partner closely with executives and cross-functional stakeholders to ensure that data and AI initiatives deliver measurable business value and enable innovation across the organization.Our environment includes large-scale Data Warehouses, Data Lakes and Lakehouse architectures, real-time and batch processing systems, data infrastructure, governance frameworks, analytics platforms, and emerging AI technologies.Key ResponsibilitiesStrategy & Organizational LeadershipOwn the overall Data & AI domain, including strategy, execution, delivery, and organizational growth.Define and drive the long-term vision, roadmap, and investment priorities for the company's data and AI platforms.Build, lead, and scale high-performing Data Engineering teams, engineering managers, and senior individual contributors.Establish a strong leadership culture focused on accountability, innovation, growth, and operational excellence.Drive organizational alignment and execution across multiple teams and stakeholders.Recruit, mentor, develop, and retain engineering leaders and top technical talent.Platform Ownership & Technology LeadershipLead architecture and technology decisions for large-scale data ecosystems.Oversee the design, scalability, reliability, and governance of enterprise data platforms.Ensure excellence across Data Warehouses, Data Lakes, streaming platforms, analytics infrastructure, and AI-enabling systems.Drive adoption of modern engineering practices, observability, governance, security, and compliance standards.Establish frameworks for DataOps, platform reliability, and operational excellence.Build the technological foundations required to support future AI and machine learning initiatives.Business Impact & DeliveryOwn business-critical data initiatives and ensure measurable impact on company KPIs.Partner closely with Product, Engineering, Analytics, Business, and Executive leadership teams.Translate business objectives into scalable data strategies and execution plans.Drive prioritization, resource allocation, roadmap planning, and delivery commitments across the domain.Lead large-scale cross-functional initiatives from concept through execution.Identify opportunities where Data & AI can accelerate growth, improve efficiency, and drive innovation across the...