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Sr. Staff Manager, Market Intelligence

Marvell Technology

Santa Clara, CAFull TimeStaff
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Location
Santa Clara, CA
Employment
Full Time
Work model
On-Site
Level
Staff
Posted

Skills

PythonSQL

About this role

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.  At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.  Your Team, Your Impact Marvell's Global Marketing organization exists to accelerate Marvell's growth by delivering impactful outcomes and services that elevate our brand, captivate our target audiences, and exceed stakeholder expectations. The organization encompasses communications, digital, events, social, analyst relations, market research, and product and technology marketing, working closely with Marvell's business units, investor relations, finance, HR, and executive staff to ensure our messaging and positioning resonate with diverse global audiences. The Sr. Staff Manager, Market Intelligence – Market Modeling is a high-visibility role at the analytical core of Marvell’s new Market Intelligence function. You will own how Marvell sizes and understands its markets — building the outside-in market models — from TAM/SAM/SOM to the signal and scenario models that inform critical business decisions. Partnering hand-in-hand with Finance, Sales, Investor Relations, and each business unit, you will turn incomplete, fast-moving market signals into a defensible, always-on view of where the market is going and what it means for Marvell. Just as important as the analysis is the mindset: you are naturally curious, challenge assumptions, apply an AI-first approach to the work, find creative ways through incomplete data, and build strong, collaborative partnerships across the business. What You Can Expect Market Modeling Build and own Marvell’s TAM and related market models — bottoms-up and top-down — starting with TAM/SAM/SOM and extending into market and signal models that inform supply and demand decisions across data center, AI infrastructure, custom silicon, interconnect, optical, networking, and storage. Establish a defensible, repeatable market-sizing methodology: segment definitions, source hierarchy, assumptions, and treatment of overlap between adjacent markets. Model new, emerging, and first-to-market opportunities — sizing markets where no established category or competing solution yet exists, building the view from the ground up. Partner closely with Finance, Sales, Investor Relations, and each business unit to keep Marvell’s view of its addressable opportunity current as conditions change. Use early market signals to flag shifts that inform supply and allocation, strategic priorities, market messaging, and investment decisions — including new-market and white-space opportunities — sizing where Marvell should play and the scale of the opportunity. Forecasting & Scenario Analysis Develop outside-in multi-year market forecasts and demand models, incorporating hyperscaler capex, AI-infrastructure build-out, and end-market demand drivers. Build base / upside / downside scenarios and sensitivity analyses that stress-test assumptions and quantify risk to the outlook. Translate macro and industry signals — earnings calls, analyst data, supply-demand dynamics — into revisions to the market view. Maintain a living view of the market that updates as conditions change, rather than a point-in-time study. Data Science & Analytical Rigor Apply data-science methods — statistical modeling, regression, and machine-learning techniques — to improve forecast accuracy and surface patterns across large, messy market datasets. Build reproducible, well-documented models and pipelines (e.g.,Python, SQL, Excel) that others can trust, audit, and extend. Apply modern

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