Director, Data Intelligence

Role Description

We are looking for a Director of Data Intelligence to lead the next phase of that ecosystem. This is not a dashboard-factory role. It is a chance to shape how a global SaaS business understands itself, makes decisions and turns data into customer and commercial advantage. You will report to the CTO, leading a multidisciplinary team across analytics, data engineering and data science. Your mandate is to make trusted data easier to use than local workarounds, give the business confidence in its most critical metrics, and build the foundations for AI-assisted decision-making at scale.

What you'll own:

• Set the direction for Data Intelligence at Go1, focusing on trusted business metrics, governed self-service, reusable data products, and practical business impact.
• Help Go1 answer questions like:
  • Which metrics can we trust for company-level decisions?
  • Where do ARR, retention, churn, product adoption, and customer health signals disagree, and why?
  • How do we make trusted data discoverable and usable by leaders, teams, and AI tools?
  • How do we help domains own their operating evidence without fragmenting company truth?
  • Which data products will materially improve customer outcomes, commercial performance, or decision speed?

What you'll do:

• Lead Go1’s Data Intelligence strategy in partnership with the CTO, Product, Engineering, Finance, Customer, GTM, Legal, and Risk leaders.
• Strengthen Go1’s trusted business spine: shared definitions, semantic layers, metric ownership, data quality, lineage, observability, metadata, and governance.
• Scale self-service analytics in a way that increases confidence rather than creating more unreconciled numbers.
• Turn data assets into reusable products that support customer health, churn prevention, product adoption, forecasting, planning, PLG, business reviews, and executive decision-making.
• Prepare Go1’s data ecosystem for AI-assisted analysis by making definitions, trust levels, ownership, and approved evidence paths machine-readable and human-usable.
• Build clarity around where Data Intelligence owns the foundation, where domains own operating evidence, and how weak or unsupported claims are challenged constructively.
• Lead, coach, and grow a high-performing team of analysts, engineers, and scientists, building leadership depth and practical delivery capability across the function.

What success looks like:

• Go1’s most important decisions are made from shared, trusted evidence.
• Business leaders know which numbers are certified, which are directional, and what trade-offs they are making when they use each.
• Product, GTM, Customer, Finance, and Engineering teams can answer more of their own questions without waiting in a central queue.
• Data Intelligence is known for raising decision quality, not just producing reports.
• AI-assisted data access becomes safer and more useful because it is grounded in governed definitions, semantic context, and clear trust signals.

Qualifications

• Significant experience (8+ years) across analytics, data engineering, data science, data governance, or adjacent data leadership roles.
• Experience leading multidisciplinary data teams in SaaS, marketplace, subscription, or digital product environments.
• Experience building or improving trusted business metrics, semantic layers, data quality practices, governance models, or self-service analytics capabilities.
• Ability to balance precision and pragmatism: knowing when a number must reconcile, when directional evidence is enough, and how to communicate that distinction clearly.
• Experience turning data work into measurable business outcomes, not just better internal artefacts.
• Comfortable influencing senior stakeholders, challenging assumptions, and improving how an organization makes decisions.
• A practical operator as well as a strategist: able to set long-term direction while being willing to get close to the work when needed.
• Leadership style characterized by curiosity, accountability, and judgement, building teams that are trusted because they are useful, rigorous, and commercially aware.

Benefits

• Annual bonus or commission plan.
• Employee Stock Option Plan: Opportunity to share directly in our success through stock options.
• Public Holiday Swap: Swap a public holiday for another preferred day.
• Flexible Working: Fully remote organization with team events and travel throughout the year.
• Wellbeing & Learning Days: An additional five days of paid leave per year.
• Learning Budget: $500 USD per financial year, plus access to additional Career Growth Budget.
• WFH/Transport Budget: Monthly allowance for internet/phone expenses or public transport.
• Home Office Setup Budget: One-off allowance for desk, chair and/or monitor.
• Parental Leave: Minimum of 18 weeks paid parental leave for primary carers + 6 weeks paid parental leave for secondary carers.
• Wellbeing Support: Access to counselling and wellbeing initiatives.