Data & AI group manager
This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.
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.
Group Manager – Data & AI
Location: Israel
We 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.
Own 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 Leadership
Lead 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 & Delivery
Own 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 business.
דרישות
15+ years of experience within Data Engineering, Big Data, Data Platform, or related domains.
10+ years of leadership experience managing engineering teams.
5+ years of experience managing managers and senior engineering leaders.
Proven success building and scaling Data Engineering or Data & AI organizations in complex, high-growth environments.
Deep hands-on and architectural expertise across:
Data Warehouses
Data Lakes and Lakehouse architectures
Batch and real-time processing systems
Data pipelines and orchestration frameworks
Data governance and quality programs
DataOps and MLOps methodologies
Data compliance and regulatory frameworks
Experience owning business-critical platforms with measurable performance and KPI outcomes.
Strong understanding of cloud-native data architectures and distributed systems.
Demonstrated ability to drive organizational scale, operational excellence, and delivery processes.
Proven track record leading large cross-functional programs and initiatives.
Strong business acumen with the ability to connect technical strategy to business results.
Exceptional leadership, communication, stakeholder management, and influencing skills.
High level of ownership with a strong focus on execution and outcomes.
We are looking for a leader who can build and scale a world-class Data & AI organization while delivering meaningful business impact.
The ideal candidate will be:
A visionary builder who can create and grow high-performing teams and platforms.
A strategic leader who combines deep technical expertise with strong business ownership.
Someone who can translate organizational goals into scalable data and AI strategies.
A proven executive partner who influences across all levels of the organization.
An execution-focused leader who thrives in complex, high-scale environments.
Why Join Us?
Lead one of the most strategic technology domains within the organization.
Shape the future of our Data & AI vision and platform strategy.
Partner with executive leadership on company-wide initiatives.
Build and develop a high-performing team of engineering leaders and experts.
Drive measurable business impact through data, analytics, and AI innovation.
Help define the next generation of intelligent, data-driven products and capabilities.
If you are an accomplished technology leader with a passion for data, AI, and organizational growth, we would love to hear from you.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
EngineeringJob Level:
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HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
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יתרון
Experience building AI/ML infrastructure or enabling AI-powered products and capabilities.
Background in high-scale SaaS, technology, or data-intensive product companies.
Experience leading organizational transformation, data modernization, or platform migration initiatives.