S&P Global Market Intelligence is seeking a Vice President, Platform Strategy & Operations to lead the strategic evolution of our platform portfolio as client needs diverge across a broad and varied client base — from sophisticated clients increasingly consuming data via APIs, feeds, and cloud-native environments such as Snowflake, to the much larger base of clients who continue to rely on the platform to do their analytical work for them. This is a highly visible leadership role responsible for owning the metrics, prioritization process, and business cases that inform how MI's platforms deliver, measure, and defend value across that full client base — working alongside a team of experienced product leaders who own execution of their respective platforms. The successful candidate will bring together commercial insight, analytical rigor, and product judgment to shape platform investment decisions, modernize how we measure client value, and protect MI's competitive position as the industry re-architects around data accessibility and AI-enabled workflows — for clients moving toward feeds and for clients who will continue to depend on the platform. This role owns the prioritization framework and the analysis behind it; final platform investment decisions rest with Head of Platforms and broader Product leadership. Success in this role is measured in client value delivered, which will be measured beyond the revenue allocations that occur internally amidst platform and data SKUs. MI's client base is not moving uniformly toward any single consumption model. A smaller set of highly sophisticated clients — representing a large share of revenue and strategic partnerships — are increasingly consuming content through data feeds, APIs, and cloud data-sharing platforms, and the economics that have historically underpinned platform pricing are under real pressure for that segment. At the same time, a much larger base of clients, representing significant revenue and the majority of MI's whitespace, remains less sophisticated in its data consumption and will continue to rely on the platform to solve its workflows directly — a reliance AI is more likely to deepen than erode for a meaningful share of that base. This role is central to ensuring MI gets both halves of that picture right: decoupling and defending the value of underlying data and analytics from the delivery layer where clients are genuinely moving off-platform, while continuing to strengthen platform-native, workflow-level value for the much larger set of clients who aren't. Getting this balance wrong in either direction — overinvesting in feeds at the platform's expense, or missing the real monetization risk from sophisticated clients — puts meaningful revenue at risk.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed