Head of Data at AutogenAI

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

105000.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics Delivery, Product Analytics, Data Modelling, SQL, Python, Power BI, Stakeholder Engagement, Team Leadership, Data Literacy, Cloud Data Warehousing, Analytics Engineering, KPI Definition, Communication, Operational Leadership, Monitoring, Tracking Schemas

Industry

technology;Information and Internet

Description

Join AutogenAI – Revolutionising Bid and Proposal Writing with generative AI AutogenAI is a leader in Generative AI SaaS, transforming how organisations create and optimise winning bids, tenders and proposals through cutting-edge natural language processing technology. We are one of the fastest-growing AI companies in the world, expanding rapidly to meet the increasing demand for AI-driven solutions across sectors. Our innovation stems from a belief that language technology will revolutionise business communication over the next decade. We empower our clients to grow faster and more efficiently by delivering bespoke AI language engines tailored to their needs, saving time, improving content quality, and boosting win rates in highly competitive markets. We drive AutogenAI’s growth by fostering a culture where innovation and ambition thrive, building a company where everyone can have a career-defining experience. As we scale, we invite passionate professionals to join our journey of innovation, helping shape the future of AI-powered business solutions. Job Summary: As Head of Data & Analytics at AutogenAI, you will be both the owner and a hands-on contributor to the company’s analytics function. You will personally deliver high-impact analysis and Power BI dashboards while setting the direction for how data is used across the business. AutogenAI already has a modern data stack in place — including a cloud data warehouse, analytics engineering layer, and semantic models that serve core business and product verticals. This role is not about building a data platform from scratch, but about capitalising on the foundations already built: improving adoption, sharpening metrics, extending models where needed, and ensuring analytics is consistently driving better decisions. You will own the full analytics lifecycle: defining KPIs, ensuring the right product tracking is in place, building and evolving analytics models, and translating insights into clear, decision-ready outputs for leadership and shareholders. You will work closely with Product, Engineering, Commercial, and senior stakeholders, and will lead the data function, currently including a data engineer direct report. This is not a purely strategic role. You will spend a meaningful proportion of your time writing SQL and dbt models, and building and maintaining Power BI dashboards that the business relies on day-to-day. What you'll be responsible for: Hands-On Analytics Delivery Design, build, and maintain core 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 for initiatives, and validate that data captured supports meaningful analysis. Analytics Engineering & Data Modelling Build and oversee analytics models using dbt and Redshift, preferably following Kimball approach, 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, and establish sustainable team processes. Data Literacy & Visual Storytelling Improve data literacy across the organisation and ensure insights are communicated clearly through well-designed dashboards and narratives. What You'll Bring to the Team: 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 business value, and can help teams define what success looks like before work begins. Analytics Engineering Fluency You can write and review SQL, dbt models, 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. Requirements: Experience: Several years spent in 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 and dbt 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 Preferred Qualifications: 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. Compensation and Benefits: 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. Values in Action: 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. Equal Employment Opportunity Statement: 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. We encourage applications from individuals of all backgrounds, including those with disabilities and veterans. Our hiring decisions are based on qualifications, merit, and business needs. At AutogenAI we value the unique perspectives each employee brings and strive to provide an equitable environment. If you require reasonable accommodations during the application or interview process, please let us know, and we will gladly assist you.

Responsibilities

The Head of Data will deliver high-impact analysis and Power BI dashboards while guiding the analytics function across the business. Responsibilities include defining KPIs, building analytics models, and translating insights for leadership.