[Hiring] Director, Analytics & Decision Intelligence @Everway

Role Description

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.
• Lead the analytics function as a product team — setting the vision, owning the roadmap, and establishing the operating model.
• Design and deliver gold-tier data products with clear ownership, versioning, documented data contracts, and defined SLAs.
• Architect and own the self-service analytics model — defining tiered access, designing governed exploration spaces, and enabling domain teams to answer their own recurring decision questions.
• Own the semantic layer strategy — defining where metric logic lives and ensuring KPI definitions are consistent, governed, and trustworthy.
• Partner with data engineering on data contracts and gold layer design.
• Own the BI platform end-to-end.
• Lead the adoption of AI-powered analytics.
• Drive data literacy and decision-readiness across the organisation.
• Establish and maintain catalogue presence for all analytics assets.
• Define and enforce analytics engineering standards.
• Measure what matters.
• Mentor and develop analysts within the team.

Qualifications

• 3+ years in business intelligence, analytics, or a decision science role, with at least 2 years leading a BI or analytics function in a senior capacity.
• Demonstrated ability to work backwards from business decisions to analytics requirements.
• A track record of proactive insight discovery.
• Expert-level proficiency in at least one enterprise BI platform (Tableau, Power BI, Looker, or equivalent).
• Strong SQL skills with the ability to write, optimise, and review complex queries against large datasets.
• Demonstrable experience delivering BI outputs as data products.
• A proven track record of designing and scaling self-service analytics.
• Deep expertise in semantic layer design and metrics governance.
• Strong understanding of lakehouse and medallion architecture.
• Experience working within a governed data platform.
• Excellent stakeholder management and communication.
• A track record of building and leading high-performing analytics teams.
• Strong commercial acumen.

Desirable Criteria

• Hands-on experience with Databricks.
• Hands-on experience with Tableau.
• Practical experience with dbt.
• Experience with decision intelligence, decision science, or analytics frameworks.
• Hands-on experience with AI-powered BI capabilities.
• Experience using LLMs or generative AI to enhance analytics workflows.
• Background in SaaS, with fluency in ARR, NRR, churn, CAC, and product adoption metrics.
• Experience with data quality frameworks and observability tooling.
• Familiarity with Python for analytical automation or light statistical work.
• Comfort with agile delivery, product backlogs, and iterating based on stakeholder feedback.

Benefits

• Competitive salary with bonus opportunities.
• Flexible work schedules.
• Comprehensive health and wellness benefits.
• Flexible time off plans.
• Career growth through development programs.
• Collaborative, innovative culture where your ideas matter.

Application Information

Please submit your application on our website by Wednesday 10th June 2026. Please note: applications may close early due to high demand, so early submission is encouraged.

We are committed to providing a Drug-Free Workplace for all employees.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.