Head of Data & Analytics, AutogenAI
£80-105k
+ Stock Options
2 days a week in office
AI bid proposal writing tools
Be an early applicant
AI bid proposal writing tools
101-200 employees
Be an early applicant
£80-105k
+ Stock Options
2 days a week in office
101-200 employees
Company mission
To create a new kind of product where users collaborate with Artificial Intelligence to produce relevant, impactful bid proposals.
Role
Who you are
- 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
- 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
- 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
Desirable
- 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
What the job involves
- 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
- 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
Salary benchmarks
Our take
Companies spend a large amount of time and resources writing copy, with sales writing alone being a significant spend. Not only is the cost of writing talents' time an issue, but it's also a constant worry to ensure that everyone is putting their best foot forward at all times and adhering to the company's style guide. The cost of miscommunications and errors in both internal and external communications is being minimised.
Utilising the latest advances in natural language processing, AutogenAI seeks to replace manually-generated content with text generated by its General Language Engine, also known as Genny-1. Its multi-disciplinary team works with clients to understand their needs, collates existing text to fine tune its model to that company's voice, then deploys Genny-1 in the areas of the business where it will have the greatest impact.
While this is likely to produce the best returns in bid proposals and other high value-add activities, AutogenAI can be applied to a wide range of internal and external business processes such as marketing, sales and public relations. As the use of AI becomes more mainstream, AutogenAI seeks to position itself as a vital tool in all forms of business communication, and substantial funding rounds show that it is well poised to achieve this.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Hybrid-working with 3/4 office days in our beautiful King's Cross, London office
- Regular Team Socials
- Unlimited Annual Leave (Yes, you read right!)
- Laptop
Company HQ
City of London, London, UK
Leadership
Sean Williams
(Founder & CEO)Also a Board Memeber of the Sussex Community Development Association. Was previously Founder & CEO of Corndel and a Non Executive Director at ThnkWinDo and MyWorkSearch. Before that founded Guitar Club.
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