HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customersoutcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In todayfast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine whatnext for you.
What you will do:
- 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. - 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 organizations 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 technologies, algorithms, and methodologies.
- Provides technical leadership and guidance to the team, evaluates and implements advanced models and algorithms, and promotes innovation in applying AI and machine learning to solve complex business problems.
- Collaborates closely with key stakeholders, including senior management, business leaders, and domain experts, to understand their needs and translate them into AI and machine learning solutions.
- Communicates effectively to non-technical stakeholders, articulates the value proposition of AI and machine learning initiatives, and provides regular updates on project progress, outcomes, and strategic insights.
What you will bring:
- Bachelordegree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline. With a typically of 7-15 yearsexperience including 5 or more years of people management experience, Advanced Degree (Masteror Ph.D.) is strongly preferred.
- Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders.
- Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results.
- Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus.
- Strong understanding of data privacy, security, and ethical considerations in AI and machine learning.
- Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R.
- Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.
Accountability, Accountability, Action Planning, Active Learning, 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 {+ 5 more}
