Product Telemetry Lead — AI-Driven Data Insights

LSEG (London Stock Exchange Group)

Buffalo (NY)

On-site

USD 110,000 - 184,000

Full time

9 days ago
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Job summary

LSEG is seeking a Manager, Product Telemetry Lead in the United States to establish a product telemetry capability across Analytics. You will define metrics, partner with Product and Engineering to determine how signals are captured, and create reporting to drive product and commercial decisions.

Join a team that embraces AI and a product-led mindset, building scalable measurement frameworks. You will work with internal stakeholders, ensure data quality, and translate usage data into actionable

Qualifications

  • Curiosity and knowledge of AI; foundational understanding or strong growth passion.
  • Product-led mindset; focus on user experience, data-driven decisions, and continuous improvement.

Responsibilities

  • Own the analytics product telemetry strategy and roadmap from instrumentation to reporting.
  • Collaborate with product teams to define event schema and dimensions.
  • Work with cloud data platform teams to capture and retain platform data.
  • Inform the consumption layer with dashboards and usage reporting.
  • Turn usage data into insights about customer experience and workflows.
  • Run discovery with internal consumers as customers of what you build.
  • Ensure data quality and be the source of truth for numbers.
  • Serve as SME on usage data for stakeholders.
  • Track consumption patterns, including AI-assisted usage, and adapt measurements.

Skills

AI knowledge
Product mindset
Manager

Job description

LSEG is seeking a Manager, Product Telemetry Lead in the United States to establish a product telemetry capability across Analytics. You will define metrics, partner with Product and Engineering to determine how signals are captured, and create reporting to drive product and commercial decisions.

Join a team that embraces AI and a product-led mindset, building scalable measurement frameworks. You will work with internal stakeholders, ensure data quality, and translate usage data into actionable

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