VP, Engineering - AI Software, HPE Private Cloud
About the position HPE Private Cloud solutions, delivered through HPE GreenLake, offer a way for organizations to gain the agility and pay-per-use flexibility of public cloud services within their own data centers, while maintaining control and security over their sensitive data. These solutions aim to simplify cloud management, accelerate application development, and improve resource utilization, all within a dedicated private cloud infrastructure. We are seeking a highly skilled VP, Engineering – AI Software role to enable HPE’s AI Strategy and lead the development and advancement of the AI Software products.
Responsibilities
- Provide overall strategic leadership for the AI Software products including designing and developing engineering solutions and driving the establishment of the brand within the marketplace
- Create strategic vision and drive the development of operations and resource plans, goals, and priorities for the AI Software business based on business and technology roadmap and functional objectives
- Manage overall operational activities for the organization, ensuring that resources are appropriately allocated, and that strategic goals and budgets are met in accordance with organizational metrics and business plans
- Partner with senior and executive leadership for programs, marketing, supply chain, sales, and technical leaders to integrate activities, escalate and resolve issues, and guide and influence company-wide strategic decision-making
- Manage and develop executive relationships with external partners and suppliers to ensure that organization is effectively leveraging resources and identifying opportunities for strategic growth and development
- Grow and develop a world-class software overall by supporting a team of direct reports, including hiring, setting and monitoring of annual performance plans, coaching, and career development
- Drive and foster organization-wide performance standards, expectations, and practices to support ongoing team member and process development
- Develop use cases to enable the AI strategy. Partner with internal leaders to drive and enable an integration of solutions
Requirements
- Proven track record leading an AI Software Engineering team in a cloud environment
- Advanced leadership skills, including coaching, teambuilding, conflict resolution, and management
- Organizational and strategic management skills, including strategic vision and planning development and forecasting
- Deep understanding of AI/ML and its various components
- Advanced relationship management skills, including partnering and consulting with executive/C-level roles for internal and external partners
Nice-to-haves
- Accountability
- Action Planning
- Active Learning (Inactive)
- Active Listening
- Agile Methodology
- Agile Scrum Development
- Analytical Thinking
- Bias
- Coaching
- Creativity
- Critical Thinking
- Cross-Functional Teamwork
- Data Analysis Management
- Data Collection Management (Inactive)
- Data Controls
- Design
- Design Thinking
- Empathy
- Follow-Through
- Group Problem Solving
- Growth Mindset
- Intellectual Curiosity (Inactive)
- Long Term Planning
- Managing Ambiguity
Benefits
- 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.
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