Director, Analytics & Decision Intelligence

About the role

Every function at Everway — sales, finance, customer success, product — makes decisions every day that shape revenue, retention, and learner outcomes. Too many of those decisions are made without the data confidence they deserve. This role exists to change that.

We're looking for someone to lead our analytics function with a decision-first mindset — someone who starts by understanding the decisions the business needs to make, then works backwards to design the data products, self-service experiences, and insight surfaces that make those decisions faster, more confident, and more consistent.

You'll be building and leading a product-oriented analytics team that designs gold-tier data products with clear ownership, documented contracts, defined SLAs, and measurable impact on the decisions they serve. Outputs might be interactive dashboards, governed self-service datasets published from our Databricks lakehouse, embedded metrics, or AI-assisted exploration — but in every case, the measure of success is the same: did the decision get better?

Reporting to the VP of Data, you'll work closely with stakeholders across the business to map critical decision points and uncover the ones the business hasn't identified yet — surfacing risks, patterns, and opportunities that would otherwise go unseen. You'll partner with data engineering on data contracts and gold layer design, and play a hands-on role in shaping how we adopt AI-powered analytics — from natural language interfaces to LLM-assisted workflows — always within a governed framework.

Responsibilities

• Map and prioritise the organisation's critical decisions. Work across product, sales, finance, customer success, and leadership to identify the highest-impact decisions in each domain, understand how they're currently made, and define what data — at what quality, freshness, and granularity — would materially improve them.
• Proactively surface what the business hasn't seen. Go beyond answering known questions — use exploratory analysis, anomaly detection, and cross-domain pattern recognition to identify risks, opportunities, and emerging trends that stakeholders haven't asked about yet. The best analytics functions don't just support decisions — they trigger them.
• Lead the analytics function as a product team — setting the vision, owning the roadmap, and establishing the operating model. The backlog is organised around decisions to be supported, not requests to be fulfilled.
• Design and deliver gold-tier data products with clear ownership, versioning, documented data contracts, and defined SLAs — treating every analytics output as a product with a lifecycle, users, and success metrics tied to decision outcomes.
• Architect and own the self-service analytics model — defining tiered access (raw, curated, pre-built), designing governed exploration spaces backed by certified Databricks-published datasets, and enabling domain teams to answer their own recurring decision questions without waiting for the analytics team.
• Own the semantic layer strategy — defining where metric logic lives (dbt/MetricFlow, BI published data sources, or a dedicated semantic layer tool) and ensuring KPI definitions are consistent, governed, and trustworthy across every consumption surface.
• Partner with data engineering on data contracts and gold layer design — defining consumption requirements upstream so that the medallion architecture is built with decision use cases in mind, not retrofitted to them.
• Own the BI platform end-to-end. Our current environment is Tableau — you'll own certified content sta