Product Manager, Analytics Channels

LSEG•Buffalo, NY

7d•$97,500 - $162,500

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, which happens in spreadsheets, notebooks, BI dashboards, automated workflows, and increasingly in AI assistants and agents. This role owns the surfaces where LSEG analytics meet that work. The Product Manager for Data Analysis Channels will own the integrations that deliver LSEG analytics natively into the tools customers already use. This spans established surfaces such as Excel and BI platforms, low-code automation, and a fast-moving set of AI-native channels. This is a horizontal role with broad exposure to the LSEG estate and its teams, as the channels cut across multiple analytics and content verticals. This is a hands-on product role where the individual will run their own discovery, own their roadmap, work directly with engineering to deliver, and stay accountable for the success of what they ship.

Requirements

Product management experience, ideally on integrations, platform or API products
A problem-first instinct: you can show us a time you pushed back on a requested feature and found the real problem underneath it
Technical fluency: comfortable with APIs 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
Data-driven: you define what success looks like before you build, instrument for it, and change course when the evidence says to
Working familiarity with AI tooling and how it is changing data analysis workflows
Experience in financial data and analytics
Comfortable operating in a matrixed organization with dependencies you don't control, and making progress without complete information
Degree or equivalent professional qualification

Responsibilities

Own the roadmap and prioritization for a set of data analysis channels, from problem discovery through to launch
Run discovery with customers, sales and client service teams
Define requirements and business logic, and partner closely with engineering teams through build, testing and release
Instrument and track adoption, usage and customer outcomes, and use that evidence to shape the next set of decisions
Act as the subject matter expert on your channels for commercial, client service and internal stakeholders
Track how data analysis workflows and tooling are evolving - particularly AI-assisted and agentic workflows - and translate that into product direction