Manager, Product Telemetry Lead

LSEG•New York, NY

35d•$126,900 - $211,500•Hybrid

About The Position

LSEG Analytics has been trusted for over 30 years by portfolio managers, risk teams and quantitative analysts. These clients want to access analytics where they're already working. This happens in spreadsheets, notebooks, BI dashboards, automated workflows and increasingly in AI assistants and agents. Every one of those interactions is evidence: what customers actually use, how often, through which surface, and whether it worked. Today that evidence is uneven, which means the teams who build, sell and support our analytics have an incomplete picture of how customers experience them. This role owns closing that gap. You will lead telemetry strategy across our analytics platform, owning what gets captured at the point of use, what it means, how it is surfaced, and working with the central telemetry team to ensure that the reporting is meaningful and consistent with D&A standards. That spans instrumentation standards, product adoption analytics, the usage evidence that supports commercial decisions, and the reporting our product, commercial and client service teams rely on. This is a horizontal role. Telemetry cuts across every analytics vertical and every delivery channel, which means broad exposure to the LSEG estate and to the teams behind it. This is a hands-on role. You will run your own discovery, own your roadmap, work directly with engineering to deliver, and stay accountable for the success of what you ship.

Requirements

Product management experience, or an equivalent background owning a platform, data or API product for internal or external consumers
Technical fluency: comfortable with APIs, event data and data structures, and able to hold a credible conversation with engineers. You don't need to write production code, but you should be able to read it and be competent with SQL
A feel for how data gets presented: you can tell the difference between a dashboard people open once and one they use to make decisions
Data-driven in practice, not just in principle: you define what success looks like before you build, instrument for it, and change course when the evidence says to
Judgment about measurement itself: you know the difference between a metric that is easy to collect and one that is worth acting on
Working familiarity with AI tooling and how agentic consumption differs from human consumption
Experience in financial data and analytics
Comfortable operating in a matrixed organization
Degree or equivalent in: Bachelors Computer Science, Data Science, Engineering/Operations Research

Responsibilities

Own the strategy and roadmap for analytics product telemetry, from instrumentation at the gateway through to the reporting and visualization built on top of it
Collaborate with product teams to define what gets captured and what it means: the event schema, the identity and entitlement dimensions, and the rules that make usage comparable and actionable across products surfaces
Partner with the cloud data platform teams who own storage and pipeline, translating product requirements into what the platform needs to capture and retain
Inform the consumption layer: dashboards, usage reporting and the visualizations that make customer behaviour legible to the teams who act on it
Turn usage data into an account of the customer experience — where workflows succeed, where they stall, and which surfaces customers are actually choosing
Run discovery with your internal consumers across product, commercial, client service and engineering, and treat them as customers of what you build
Hold the line on data quality and consistency, and be the person who can say what a number means and where it came from
Act as the subject matter expert on usage data for commercial, client service and internal stakeholders
Track how consumption patterns are changing, particularly agentic and AI-assisted usage, and make sure measurement keeps pace with them