About InvestEngine

InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2.5 billion invested, award-winning service, and a passionate team, now we’re ready to scale.

About the Role

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+. 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.

What You’ll Do

• 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.

What We’re Looking For

• 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.

How We Work

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.

Our Hiring Process

1. Introductory call with our Talent team.

2. Gamified cognitive assessment to understand how you think and problem-solve.

3. Hiring Manager Screen with the COO: Initial interview focused on analytics strategy and product vision.

4. Technical Deep Dive with a member of the team: Validation of "hard" skills in SQL, dbt, and data modeling.

5. CFO Case Study: A presentation-based interview focusing on applied statistics, LTV, and ROAS.

6. Values & Leadership with the CEO: Final session to explore cultural alignment and your ability to lead a matrixed team under executive scrutiny.