Product Telemetry & Analytics Leader

Careerwise; United Kingdom; On-site; GBP 110,000 - 150,000; Full time

Job summary

Careerwise's client, a global software company, seeks a Product Data Engineering & Analytics Director to lead end-to-end telemetry architecture and a team of data engineers and product analysts. You will own instrumentation standards, governed metrics, dashboards, and analytics across the portfolio.

You will build reusable data assets, oversee the lakehouse data pipeline, and establish KPIs and measurement frameworks for usage and outcomes, collaborating with product, engineering and leadership

Qualifications

• Strong background in data engineering and large-scale data platform design.
• Experience implementing event-based telemetry systems and instrumentation standards for software products.
• Experience defining product metrics, KPIs, and measurement frameworks.

Responsibilities

• Define and implement the data architecture for product telemetry across all products.
• Own the event data pipeline, from instrumentation through ingestion and transformation to storage in a lakehouse environment.
• Set and enforce standards for event instrumentation, including schemas, naming, versioning and required attributes.
• Build reusable data assets: curated datasets, semantic layers and governed metrics.
• Define measurement frameworks, data models and success metrics for usage, engagement and outcomes.
• Deliver analytics, reporting and dashboards for product, engineering and leadership teams.
• Evaluate and select product analytics tools, balancing platform integration, governance and cost.
• Lead, mentor and grow a team of data engineers and product analysts.

Skills

Data engineering

Large-scale data platforms

SQL

Python

Telemetry systems

Mentoring teams

Databricks

Tools

Databricks

Experimentation platforms

Job description

Careerwise's client, a global software company, seeks a Product Data Engineering & Analytics Director to lead end-to-end telemetry architecture and a team of data engineers and product analysts. You will own instrumentation standards, governed metrics, dashboards, and analytics across the portfolio.

You will build reusable data assets, oversee the lakehouse data pipeline, and establish KPIs and measurement frameworks for usage and outcomes, collaborating with product, engineering and leadership