Senior AI Product Manager

Senior AI Product 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:

Job Family Definition:

Designs, plans, develops and manages a product or portfolio of products throughout the solution portfolio lifecycle: from new product definition or enhancements to existing products; planning, design, forecasting, and production; to end of life.

Management Level Definition:

Contributions impact technical components of HPE products, solutions, or services regularly and sustainable.

Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.

Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives.

Exercises significant independent judgment to determine best method for achieving objectives.

May provide team leadership and mentoring to others.

Responsibilities:


* Strategy and Roadmap: Define the vision for AI-driven initiatives, determining build vs.

buy decisions and setting long-term AI strategy.


* Technical Collaboration: Work closely with AI engineers, data scientists, and developers to guide model development, evaluate algorithms, and ensure technical feasibility.


* Data and Model Management: Define training data requirements, set model performance benchmarks, and monitor data quality, bias, and accuracy.


* Product Lifecycle Management: Manage the entire process from conceptualization and data acquisition to deployment, testing, and continuous iteration based on user feedback.


* Cross-Functional Leadership: Act as the bridge between technical teams and non-technical stakeholders, translating complex technical limitations into business impacts.


* Leads and drives the end-to-end strategy and operational product roadmap for one or more products.


* Defines the value proposition, target customer segments, and business case to bring one or more innovative and disruptive products to market with respect to the whole company product portfolio (i.e.

Product configuration mix, Revenue/Margins, financials, market share).


* Synthesizes market requirements (MRD) into marketing/customer details through having intimate...