Introduction
A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into industry-leading solutions.

We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world’s leading AI-powered, cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes.

IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive

Your Role and Responsibilities
As a Strategy Leader, Data, AI, and Analytics, you will lead the development and execution of strategic plans to drive growth and transformation in the Data, AI, and Analytics portfolio.
Your team will be in charge of investigating new market opportunities and business models, and develop fact-based client, market, and competitor insights to inform strategic decisions.
Responsibilities

Work locations: Bay Area- San Jose & San Francisco, CA, Austin, TX, Research Triangle Park, NC, Lowell MA, Cambridge, New York, NY

Required Technical and Professional Expertise

• A minimum of 8 years of experience in product management, preferably focusing on software development
• A customer-centric focus on how to deliver business value with a keen understanding of the IT enterprise ecosystem
• 3 years of experience working with on-premise virtualization (Hypervisors, Storage, Network)
• Proven ability to work with sales and sales engineering teams.
• Proven ability to work with development teams in large scale scrum environments

Preferred Technical and Professional Expertise

• Proven ability to work with large enterprise customers and executives.
• Strong leadership skills to inspire and motivate cross-functional teams, drive collaboration, and foster a culture of innovation and continuous improvement.
• Excellent analytical and quantitative skills; ability to use data and metrics to make recommendations and measure success.
• Deep understanding of AI concepts and operations from a software development perspective
• Design and development of AI infused applications with Large Language Models (LLM)s
• Experience with the Tekton CI/CD orchestrator, especially as an open-source contributor