AI Engineering Manager

AI Engineering Manager    This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week 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.

Job Family Definition: Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics. Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects. Management Level Definition: Applies expert subject matter knowledge to manage staff activities in solving most complex business/technical issues within established policies. Manages activities of exempt individual contributors (typically Expert/Master) and/or MG1s. Has accountability for a large multi-department area(s) or location(s) with significant impact on business unit results and organizational strategy. Acts as a key advisor to senior management on the development of overall policies and long-term goals of the organization. Plans, manages, and monitors high-end operational/tactical activities of Staff. Staff members' primary focus is on either high-end tactical or broad strategic issues or a combination of both. Recruits and supports development of direct staff members. Position typically reports to Director or above.  Additional Guidance/Criteria: Manages and controls activities within a sub-region or Region; Typically manages 10 or more direct reports.  Span of Control guidelines may differ from these numbers.

Develops and drives the organization's AI and machine learning strategy, aligning it with overall business objectives. Identify new opportunities for AI and machine learning applications, evaluate emerging technologies and trends, and provide thought leadership on implementing innovative solutions to gain a competitive edge. Leads and manages a team of AI and machine learning professionals, including data scientists, machine learning engineers, and AI specialists. Provide mentorship, guidance, and career development support. Allocate resources effectively, ensure high team performance, and foster a collaborative and innovative work culture. Oversees complex AI and machine learning projects from conception to deployment. Defines project scope, objectives, timelines, and resource requirements. Coordinates cross-functional teams, manages project risks, and ensures successful delivery while adhering to quality standards and stakeholder expectations. Stays abreast of the latest advancements in AI and machine learning