VP, Product Data in London

This position is focused on shaping how product data is captured, governed, and transformed into meaningful insights across a global SaaS and neurotechnology environment. You will define the end‑to‑end product telemetry strategy, ensuring data is structured, reliable, and actionable across a multi‑product ecosystem. The role plays a critical part in connecting product usage to real‑world learner outcomes, particularly in assistive and accessibility‑focused solutions. You will build the foundations for both internal decision‑making and customer‑facing analytics that increase transparency and product value. Working closely with Product, Engineering, and Data teams, you will influence how success is measured across the organization. This is a hands‑on leadership role combining strategic vision with deep technical execution in a mission‑driven, fast‑scaling environment.

Accountabilities

• Define and lead the global product data and telemetry strategy, aligning data collection with business, product, and learner impact objectives.
• Own the telemetry and event architecture, including event pipeline design, instrumentation standards, and integration into modern data platforms such as Databricks.
• Build and govern scalable product data models, ensuring consistency across a multi‑product ecosystem.
• Design and deliver trusted data products such as datasets, dashboards, and metrics frameworks for internal and external use.
• Enable customer‑facing analytics and usage transparency as part of the product experience.
• Partner with Data Engineering and Analytics teams on pipelines, data contracts, and data consumption layers.
• Collaborate with Product leaders to define success metrics, measurement frameworks, and outcome tracking.
• Translate product usage data into actionable insights that drive product improvement and business outcomes.
• Build and lead a high‑performing product data team while enabling self‑service analytics across the organization.

Requirements

• 5+ years of experience in product data, product analytics, or analytics engineering within SaaS or technology environments.
• Proven experience defining and implementing product instrumentation and telemetry systems at scale.
• Strong background in building or owning event pipelines and first‑party product data systems.
• Experience designing governed, reusable data assets such as metrics layers, datasets, or semantic models.
• Hands‑on expertise with modern data platforms such as Databricks or Snowflake.
• Strong SQL and Python skills for data analysis, modeling, and pipeline development.
• Experience working closely with Product and Engineering teams on measurement frameworks and data‑driven decision‑making.
• Demonstrated leadership experience managing or building small, high‑impact teams.
• Strong communication and stakeholder management skills, with the ability to influence both technical and non‑technical audiences.
• Experience with product analytics tools such as Amplitude, Pendo, or similar platforms is a plus.
• Familiarity with AI or machine learning applications in product or behavioral data is desirable.
• Experience in multi‑product or M&A environments is an advantage.
• Background in EdTech, assistive technology, or mission‑driven organizations is highly valued.

Benefits

• Competitive salary with bonus opportunities.
• Flexible working arrangements and hybrid work options.
• Comprehensive health and wellness benefits.
• Flexible time off policies supporting work‑life balance.
• Career development programs and growth opportunities.
• Collaborative and innovative global culture.
• Opportunity to contribute to mission‑driven technology impacting learning and accessibility.
• Inclusive workplace committed to diversity, equity, and belonging.