Product Data Engineering & Analytics Director
Job in
Cardiff, Cardiff City Area, CF10, Wales, UK
Listed on 2026-10-30
Listing for:
Careerwise
Full Time
position Listed on 2026-10-30
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Product Data Engineering & Analytics Director required by a global software company to lead the design and delivery of data systems that capture and analyse product usage across its software portfolio. You’ll own the telemetry architecture end to end, from instrumentation standards through to governed metrics and dashboards, and lead a team of data engineers and product analysts.
Key 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
- 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
- Hands-on experience with Databricks
- Strong SQL and Python skills
- Experience working across the full data lifecycle
- Experience leading and mentoring engineering or analytics teams
- Familiarity with product analytics tools and experimentation platforms
- Experience applying machine learning techniques to usage or behavioural data will be beneficial
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