Head of Data & Analytics, InvestEngine

• We are looking for a "Scale-up Architect": someone who is a technical genius in applied statistics and modern data stacks, but also a bold strategic partner capable of challenging the status quo with objective truth
• Scale-up Leadership: Proven experience leading data and analytics through transformational scaling phases, ideally in a regulated Fintech or investment platform
• Statistical & Technical Rigour: A "technical genius" mindset with deep expertise in applied statistics and modern data stack architecture (dbt, SQL, and ideally Python)
• Commercial Acumen: Strong ability to translate complex data into business decisions, specifically regarding marketing growth data and financial unit economics
• Governance Mindset: Experience working closely with Compliance and Risk to ensure analytics support regulatory objectives and FCA-ready MI
• Constructive Challenger: A confident communicator able to influence senior stakeholders and challenge the product roadmap constructively
• Gold Medal Background: Experience installing a complete analytical infrastructure in a well-known, high-growth environment

Desirable

• The Head of Data & Analytics is the architect of InvestEngine’s data-driven future
• You will be accountable for leading and scaling the Analytics function, ensuring the business is consistently supported by "decision-grade" data, metrics, and insight
• This is not a reporting function; it is a strategic leadership role responsible for turning data into measurable business impact
• You will act as the bridge between technical foundations and commercial reality, providing the CEO, CFO, and Executive Committee with the insights needed to scale from £2bn to £10bn+
• Strategy & Operating Model: Define and own the analytics strategy, covering data foundations, metrics governance, and insight delivery aligned to our 4x growth priorities
• The Single Source of Truth: Own the evolution of the Data Warehouse. Oversee data models, transformations (dbt), and documentation to ensure data lineage is transparent and auditable
• MI & Metrics Governance: Own the MI Catalogue, defining calculation logic and escalation thresholds. Establish robust governance to ensure every metric exists to inform a specific business decision
• Commercial Optimisation: Drive "decision-grade" MI for the CFO and CEO, with a relentless focus on unit economics, LTV modeling, and Return on Advertising Spend (ROAS)
• Analytics Enablement & AI: Lead the strategy for AI-assisted analytics and tooling. Enable safe, scalable self-serve analytics, moving the company from "gut-feel" to data-led
• Team Leadership: Lead and develop our domain-aligned analysts (Marketing, Product, Customer, Commercial). You will have the authority to audit and iterating on our team dynamics. and tech stack to ensure they are fit for purpose
• Executive Challenge: Act as a strategic counterweight to the executive team, presenting data that validates or invalidates high-priority roadmaps or strategic initiatives
• We’re a lean, fast-moving team that values clarity, ownership, and transparency
• You won’t just be executing tickets; you’ll shape systems, improve processes, and influence product direction
• We expect autonomy, but we also support each other. No bureaucracy, no drama: just respectful collaboration and meaningful work
• What We Offer:
• Impact from day one: You have the authority to rebuild the data function and tech stack from the ground up
• Room to grow: We’re scaling fast, and this role is central to our ability to reach our next milestones
• Transparent and open culture: From regular team updates to open Slack channels, we keep communication honest and decisions collaborative
• Supportive team: You’ll join a team of thoughtful, motivated people who care about what they build and how they build it
• Remote and flexible: Work from wherever suits you best. We care about outcomes, not time zones

• Introductory call with our Talent team
• Gamified cognitive assessment to understand how you think and problem-solve
• Hiring Manager Screen with the COO: Initial interview focused on analytics strategy and product vision
• Technical Deep Dive with a member of the team: Validation of "hard" skills in SQL, dbt, and data modeling
• CFO Case Study: A presentation-based interview focusing on applied statistics, LTV, and ROAS
• Values & Leadership with the CEO: Final session to explore cultural alignment and your ability to lead a matrixed team under executive scrutiny