VP, Product Data

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a VP, Product Data in United Kingdom.

This is a senior leadership role 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.

• 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.