Head of Data

• Hands-On Analytics Delivery
  Design, build, andmaintaincore analytics outputs, including Power BI dashboards, ad-hoc analysis, and recurring reporting used by product, commercial, and leadership teams.

• KPI & Metrics Ownership
  Define, document, and own company and product KPIs, ensuring consistency, clarity, and trust in how performance is measured.

• Product Analytics & Tracking
  Partner with Product to define data goals forinitiatives,andvalidatethat data captured supports meaningful analysis.

• Analytics Engineering & Data Modelling
  Build and oversee analytics models usingdbtand Redshift,preferablyfollowing Kimballapproach,ensuring data is well-structured, performant, and fit for downstream analysis and BI.

• Stakeholder Engagement & Insight Translation
  Work directly with senior leadership and shareholders to answer business questions, present insights, and recommend actions grounded in data.

• Team Leadership & Quality Control
  Line-manage a data engineer, review Python and SQL work, set standards for analytics engineering, andestablishsustainable team processes.

• Data Literacy & Visual Storytelling
  Improve data literacy across the organisation and ensure insights are communicated clearly through well-designed dashboards and narratives.

• Strong Hands-On Analytics Capability
  You are comfortable owning analytics delivery end-to-end, from raw data through to dashboards and executive-level insights.

• Product-Minded Thinking
  You focus on metrics that reflect real user and businessvalue, andcan help teams define what success looks like before work begins.

• Analytics Engineering Fluency
  You can write and review SQL,dbtmodels, and Python, and understand data pipelines well enough to ensure correctness and scalability.

• Operational Data Leadership
  You have experience managing reports, planning team growth, and balancing delivery across multiple stakeholders, with enough hands-on involvement to ensure quality, focus, and momentum.

• Clear Communication & Judgment
  You can challenge assumptions, explain trade-offs, and make complex data understandable to non-technical stakeholders.

• Experience
  :Severalyearsspentin analytics, data analytics, or analytics engineering roles, including hands-on delivery and stakeholder-facing work

• Industry Knowledge
  : Experience working in SaaS or product-led technology environments

• Technical Skills
  :

• • Advanced SQL anddbt

• • Data modelling (preferably familiar with Kimball approach)

• • Redshift or similar cloud data warehouses

• • Power BI dashboard design and modelling

• • Python for analytics and code review

• • AWS familiarity (Glue, ECS, Docker, Lambda)

• • Alerting & Monitoring

• Education
  : Degree in a quantitative, technical, or related discipline, or equivalent practical experience

• Product Analytics Leadership
  Experience defining tracking schemas, product KPIs, and analytics frameworks in collaboration with Product and Engineering.

• Small-Team Leadership
  Experience leading or mentoring engineers or analysts in a lean, fast-moving environment.

• Competitive Salary:
  £80,000 - £105,000,
  depending on specific experience and qualifications relevant to the role.
• Stock Options:
  Meaningful equity in the company.

• Retirement Plan:
  Pension scheme to help secure your future.

• Paid Time Off:
  Unlimited vacation (Yes, you read right!)

• Flexible Work Options:
  Remote working arrangements

• Private Healthcare: Bupa Medical and Dental cover
• Life Insurance: Peace of mind for you and your family

• Paid parental leave:
  16 weeks if you’ve just given birth, 4 weeks if your partner has just given birth (after one year of year of service)

• Additional Perks:
  Your choice of laptop (Mac or Windows), regular company events to connect with teammates, and opportunities for continued professional development.

These aren’t just principles we print and forget – they’re how we work, how we treat each other, and how we deliver for our customers. They shape the company we are, and the one we aspire to become.

• Customers, Always: Everything starts with our customers. We walk in their shoes, speak their language, and build for their delight and success. We win when they win.
• Make It Happen: We move fast and take ownership. No waiting, no red tape – just action, urgency, and focus on outcomes. We ask for forgiveness, not permission.
• Learn and Invent: We stay curious. We learn what we can from past masters - and make up the rest. Change is constant, and so is our growth.
• Act Like Owners: Titles don’t solve problems - people do. We own challenges, break the rules when it’s necessary, and focus on what matters.
• Turn It Up to 11: There is no “Good enough”. We raise the bar, push boundaries, and keep building. There’s always a next level.
• Lead With Respect: We listen first, speak honestly, and value every perspective. Integrity, follow-through, and kindness matter.
• Build Trust Through Transparency: We default to openness. We give feedback, share information, and assume positive intent - no secrets, no silos.

AutogenAI is an equal opportunity employer dedicated to fostering a diverse and inclusive workplace. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by federal, state, or local laws.