Labster is the leading platform for immersive STEM and healthcare education. Our mission is to dismantle barriers to learning through scalable, virtual labs and simulations used by students and educators around the world.

We are hiring a hands-on, strategic leader to transform our data function. The Vice President (VP) of Data & Analytics will architect and operationalize a scalable data strategy that empowers insight-driven decision-making across the business. This role combines deep technical expertise with executive-level influence. You’ll work cross-functionally across Product, GTM, Finance, Engineering, and Legal to deliver business-critical insight to support Labster’s continued growth.

Key Responsibilities

Data Strategy & Leadership

• Own and communicate a data vision that aligns with Labster’s strategic goals.

• Manage data technology stack, including road map and budget to ensure tooling aligns with business needs and scale

• Build and mentor a high-performing data team

• Partner with Executive and Functional Leaders to define and prioritize strategic data initiatives that drive deep business value

• Lead change management efforts across the company to drive data-informed decision making and build trust in new tools, metrics and processes

Execution & Architecture

• Centralize and reconcile core business metrics (ARR, NRR, customer usage, pipeline), including implementation of robust customer cube

• Oversee architecture and modeling in BigQuery, dbt, Looker, and Metaplane.

• Serve as the connective tissue to data across departments by ensuring Finance, GTM, Product, and Strategy leaders are equipped with data analysis and insights they trust and use

• Lead a cross-functional planning process to prioritize data initiatives based on business impact, ensuring alignment with GTM, Finance, Product, and Strategy goals

• Build scalable systems and scalable habits by empowering self-serve insights, data literacy, and shared ownership of key metrics

Predictive & AI-Ready Analytics

• Build predictive GTM analytics (lead scoring, sales forecasting, pipeline conversion).

• Implement impactful AI tools in internal operations to drive efficiency and productivity gains across all aspects of the business

• Partner with Strategy and Product teams to automate operational workflows

Requirements

• 8+ years in data roles, including at least 3 years managing data/analytics teams.

• Experience in SaaS, with strong exposure to GTM, customer, and financial data.

• Hands-on SQL and modeling capability; experience with modern data stack (BigQuery, dbt, Looker).

• Track record of building centralized metrics and reporting across a business.

• Experience supporting M&A, exits, or due diligence processes is a strong plus.

• Comfort operating at both strategic and tactical levels.

• Strong executive communication and stakeholder alignment skills.

• Passion for enabling smarter decisions through trustworthy data.

Bonus Points

• Experience in EdTech, healthtech, or simulation-based businesses

• Experience with AI/ML product enablement or GenAI readiness

• Data storytelling or stakeholder education skills (evangelizing data usage company-wide)

Department

Strategy

Locations

Labster, Boston, Labster, United Kingdom, Labster, Valencia

Remote status

Fully Remote