Head of Data & Customer insights

Location: Remote / Hybrid Type: Full-time

We’re looking for a Head of Data Analytics & Customer Insights who will turn data into a core driver of our commercial strategy.

This role sits at the intersection of data, product, design, marketing and sales. You will own how we understand our users - from behaviour to motivation - and translate those insights into actions that drive product development, acquisition, engagement, retention, and revenue.

About the Project:

We are building an AI-powered digital product focused on helping individuals better understand and improve their cognitive performance.

We focus on the individual-combining behavioral signals, interaction data, and self-reflection to uncover patterns in real-world experiences. The goal is to translate complex, human-centered data into clear, actionable insights that support better thinking, focus, and resilience.

At its core, the platform integrates:

Conversational interfaces that capture context-rich user input

Adaptive systems that respond to individual needs and behaviors

Insight frameworks that identify patterns and track change over time

This creates a continuous feedback loop between user experience, data interpretation, and personalized improvement.

Dare to have a mission:

Turn Data into Strategy

· Lead the development of data-driven commercial strategies across the marketing platform analytics, customer support and customer insights

· Partner with leadership to define product development, growth priorities based on insights and trends

· Identify opportunities to improve conversion funnels and user value

Manage customer support

· Create and manage customer support into a structured, data-driven function that protects user trust, enables rapid issue resolution, and feeds critical insights back into Product, Design and Marketing and Sales teams.

Own Customer Insights

· Session Insights - Build a deep understanding of user behaviour, needs, and motivations

· Customer Profile - Define and manage user segmentation models (personas, cohorts, behavioural clusters)

· Manage the data strategy around the emotion (voice and image) and the profiling data

· Combine quantitative data with qualitative insights (feedback, interviews, community signals)

Drive Growth & Monetization

· Manage the marketing analytics platform

· Optimize user journeys across the funnel (onboarding, activation, engagement, retention)

· Design and analyze experiments (A/B testing, feature impact, product strategies)

· Work closely with the design, marketing and product teams to improve performance

· Support decision-making with clear, actionable insights

· Act as a bridge between technical data work and business outcomes