VP, Product Data (SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
VP, Product Data (SaaS): Shaping how product data is captured, governed, and transformed into meaningful insights across a global SaaS and neurotechnology environment with an accent on end-to-end product telemetry strategy and event architecture. Focus on connecting product usage to real-world learner outcomes and building scalable data models for internal and customer-facing analytics.
Location: Must be based in the United Kingdom (Remote or Hybrid options available)
Company
A global SaaS and neurotechnology company developing assistive and accessibility-focused solutions to improve learner outcomes.
What you will do
- Define and lead the global product data and telemetry strategy to align data collection with business and learner impact objectives.
- Own the telemetry and event architecture, including pipeline design and instrumentation standards using platforms like Databricks.
- Build and govern scalable product data models to ensure consistency across a multi-product ecosystem.
- Design and deliver trusted data products, dashboards, and metrics frameworks for both internal and external use.
- Partner with Data Engineering and Analytics teams to establish data contracts and consumption layers.
- Lead a high-performing product data team and promote self-service analytics across the organization.
Requirements
- Location: Must be based in the United Kingdom.
- 5+ years of experience in product data, product analytics, or analytics engineering within SaaS environments.
- Proven track record of implementing product instrumentation and telemetry systems at scale.
- Hands-on expertise with modern data platforms such as Databricks or Snowflake.
- Strong proficiency in SQL and Python for data analysis, modeling, and pipeline development.
- Demonstrated leadership experience in managing or building high-impact teams.
Nice to have
- Experience with product analytics tools like Amplitude or Pendo.
- Familiarity with AI or machine learning applications for behavioral data.
- Background in EdTech, assistive technology, or mission-driven organizations.
- Experience operating in multi-product or M&A environments.
Culture & Benefits
- Competitive salary and bonus opportunities.
- Flexible working arrangements with hybrid and remote options.
- Comprehensive health and wellness benefits.
- Flexible time off policies to support work-life balance.
- Career development programs and growth opportunities within a global, innovative culture.
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