Role overview
About this role
Ready to re-imagine what it means to sit at the intersection of technology, data, and business strategy? At IBM, Offering Managers are responsible for the full lifecycle of a product — from validating market need and defining solution requirements to determining the business model and driving execution at scale. In this role, you will go far beyond traditional product management boundaries, applying deep technical expertise in data science, cloud analytics, and automation to solve complex, high-stakes problems for some of the world's most influential enterprises and governments. As an Offering Manager on IBM's Cloud Portfolio team, you won't just manage timelines and budgets — you will act as the CEO of your offering, owning the strategy, the data infrastructure behind it, and the cross-functional relationships that bring it to market. You will use sharp technical instincts and analytical rigor to uncover what clients truly need, translate that into scalable cloud-native solutions, and drive measurable impact across IBM's portfolio performance, pricing, and revenue operations. If leading cutting-edge data science and automation initiatives, shaping the direction of IBM's Cloud portfolio, and accelerating your technical career within a global technology leader excites you — this is your role. IBM Product Managers deliver business results by bringing high-quality products to market through data-driven strategy and rigorous technical execution. In this role, you will lead data science and automation initiatives spanning the IBM Cloud portfolio — including performance analytics, client consumption modeling, competitive pricing analysis, and signings/revenue intelligence. You will partner closely with IBM Cloud product management, finance, and sales operations teams to surface actionable insights and drive measurable portfolio value. A strong technical foundation is essential: this role sits at the intersection of cloud engineering, data science, and product strategy, and requires hands-on fluency with modern analytical and automation tooling. Product Managers in this role are practitioners as much as strategists — you must be comfortable working directly with data pipelines, cloud platform APIs, automation frameworks, and quantitative models, while simultaneously translating those technical outputs into executive-level strategy and go-to-market decisions. You will manage workstreams spanning data infrastructure and tooling through to portfolio-wide reporting and commercial decision support, and you will define how analytics capabilities integrate across IBM's Cloud ecosystem. You will interface with engineering, design, product marketing, sales, and finance stakeholders to deliver technically rigorous products and analytical frameworks with defined routes to value. Recognized as a credible technical voice across multidisciplinary teams, you will serve some of the world's largest enterprises and governments under constantly evolving priorities. We look for emerging leaders with demonstrated technical experience in data science, cloud platforms, or software engineering who are equally capable of driving business outcomes. The ideal candidate is entrepreneurial, analytically rigorous, adaptable, and able to translate complex technical data into compelling business narratives. Hands-on experience with data science workflows, cloud infrastructure, automation tooling, and financial or commercial analysis is required — not just familiarity with these concepts. Responsibilities Lead data science and automation initiatives covering IBM Cloud portfolio performance, client consumption, competitive pricing, and signings/revenue analysis Apply hands-on technical skills in data science, analytics engineering, or automation to build scalable analytical products and reporting pipelines Collaborate across IBM Cloud product management, finance, and sales operations to identify opportunities and drive portfolio value Support senior product managers in the day-to-day and strategic management of cloud portfolio products Define and execute product strategy grounded in quantitative market, competitive, and financial analysis Build and maintain cross-platform analytical models and automated reporting capabilities Develop and contribute to a comprehensive product roadmap aligned to both technical architecture and commercial priorities Support sales and marketing initiatives through data-driven insights that accelerate revenue growth Track and communicate product performance metrics to cross-functional stakeholders and leadership Stay current on emerging technologies and best practices in cloud, data science, pricing models, and intelligent automation This role offers significant career growth potential across IBM. Python, Flask 3, SQL, Typescript Python, Flask 3, SQL, Typescript, React 18, Vite Zustand, Axios United States Product Management Hybrid Entry Level New York, US New York (0147) International Business Machines Corporation Python Structured Query Language React TypeScript Flask Web Framework Axios