Job Abstract

A career in IBM Software means you'll be part of a team that transforms our customers'
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
• Manage watsonx.data overall technical product strategy from a product management standpoint, which includes SaaS
• Maintain, prioritize, and advocate the product strategy and roadmap
• Gather customer feedback, identify market opportunities, and define and prioritize features/capability requirements
• Develop a deep understanding of customer use cases and successful outcomes and leverage deep technical expertise to prioritize and set product requirements and direction
• Work closely with engineering, design, research, business development, and sales to bring products to market
• Coordinate across relevant IBM product teams to establish product integrations and dependencies
• Track and document product requirements delivery and identify blockers/risks
• Uncover and mitigate any risk that threatens market adoption of product releases
• Stay up-to-date on industry trends and best practices
• Maintain SaaS Business Plan - Background on data and AI strategy, concepts, key trends, and competitors
- Extensive product management experience driving considerable growth for data and AI solutions
- Knowledge about IBM Data and AI products, technology, and customers - Experience in product roles such as Product Manager, Solution Architect, or Technical Sales Consultant
- Deep understanding of Data Management, Data Security, and Data Sharing in the context of diverse data stores (SQL and NoSQL databases, including vector databases)
- Domain expertise in working with diverse data architectures and distributed data management such as Data Lakes, Data Lakehouses, Data Warehouses, and Databases
- Established knowledge of AWS and Azure platforms. Either with experience and certifications in using the platform or with experience actively managing an AWS or Azure environment
- Understanding of the IBM Cloud platform
- Experience with managing Cloud operations and understanding Cloud economics and compliance
- Strong relationship building skills
- Experience with Project Management and end-to-end product delivery
- Proven ability to effectively communicate and manage multiple stakeholder relationships
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience in representing and advocating for client/market needs and stakeholders during executive-level prioritization and planning