Everway
Director,Analytics&DecisionIntelligence
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“Director, Analytics & Decision Intelligence at Everway. Skills: Analytics Leadership, Decision-First Analytics, Data Product Management, BI Platform Strategy. Map and prioritise critical decisions. Work across departments to identify decisions”
What You'll Achieve.
Make decisions faster, more confident, more consistent; Improve decision quality; Measurable impact on decisions served; Did the decision get better?; Surfacing risks, patterns, opportunities; Trigger decisions; Success metrics tied to decision outcomes; Answer recurring decision questions; KPI definitions consistent, governed, trustworthy; Medallion architecture built with decision use cases; Certified content standards; Performance optimisation; Publishing governance; Access management; Automated insight delivery; Natural language query interfaces; LLM-assisted workflows; Governed data products outperform AI-generated answers; Complement AI-generated answers; Confident, independent data consumers; Discoverable, documented, accompanied by trust signals; Lineage, freshness, ownership; Dashboard design patterns; Naming conventions; Version control; Testing protocols; Peer review processes; Continuously assess analytics product impact; Prioritise roadmap; Retire low-value assets; Building technical depth; Product thinking; Decision-framing skills; Culture of ownership and quality
Industry & Context.
Decision Framing Skills; Exploratory Analysis; Anomaly Detection; Cross-domain Pattern Recognition
What They're Looking For.
Must Have
3+ years in business intelligence, analytics, or a decision science role, 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), SQL skills with the ability to write, optimise, and review complex queries against large datasets in a cloud data platform (Databricks, Snowflake, BigQuery, or equivalent), 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, 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, commercial acumen
Nice to Have
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, 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
What You'll Do.
Map and prioritise critical decisions
Work across departments to identify decisions
Define data requirements for decisions
Proactively surface business insights
Lead analytics function as product team
Design and deliver gold-tier data products
Architect and own self-service analytics model
Own semantic layer strategy
Partner with data engineering on data contracts
Own BI platform end-to-end
Lead AI-powered analytics adoption
Drive data literacy and decision-readiness
Establish and maintain catalogue presence
Define and enforce analytics engineering standards
Measure analytics product impact
Mentor and develop analysts
How You'll Work.
Team & Collaboration
Work across product, sales, finance, customer success; Partner with data engineering; Collaborate with stakeholders across business; Work with product team; Partner with data engineering on data contracts
Communication Scope
Present clearly to audiences; Push back when request is wrong question
Process & Methodology
Roadmap Development, Operating Model Establishment, Agile Delivery, Product Backlogs
Full Job Description
Every mind is unique. Yet much of the world is still built for what’s considered "normal," leaving too many people behind. At Everway, we change that by creating technology that helps everyone understand and be understood. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. Our careers fit real life. When you join us, you’re not just taking a job. You’re joining a movement to build a more neuroinclusive world. We’re a global community of over 800 employees spanning North America, UK, Europe, Australia, and New Zealand. A career here is purposeful and fast-moving, with clear expectations, modern tools, and the clarity to focus on what matters most. Our people are supported and encouraged to show up as they are, with different ways of thinking welcomed and valued. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully. Join us at Everway - together, we can unlock the full potential of every mind. 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 lake
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