Job Title
MarTech Lead (Data & AI)Job Description
So, who are we?IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in
established businesses.
The bar is high - bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next.
Join us at IG – the future gets built here.
Your teamOur MarTech team is evolving as we take on projects that will reshape how we communicate with clients, personalise their experiences, improve marketing performance and embed AI into how our marketing teams work. As MarTech Lead, you will drive the successful delivery of a complex and evolving marketing technology roadmap spanning customer engagement, data infrastructure, performance marketing measurement and AI enablement.
Your role in the Team’s Success
Own the SFMC → Braze Migration
- Act as the technical owner of the SFMC → Braze migration: own the plan, sequencing, and cutover strategy, not just a workstream within it
- Develop and lead a QA plan to validate data and journey parity between SFMC and Braze, including reconciliation of records, journey logic and event data, with hands-on checks at the SQL/pipeline level where needed.
- Identify and fix migration-related data issues directly (mapping errors, duplicate/missing events, broken triggers) rather than logging tickets for someone else to resolve
- Own the technical relationship with Client Tech and Data Architecture for everything migration-related: uptime, data integrity, and rollback/contingency planning
Build the source of truth
- Work with the support of Data Engineers to Define the technical architecture for a unique source of truth: schema design, identity resolution/stitching across tools, update cadence, and ownership of conflicts when tools disagree
- Manage integrations of 3rd-party tools, understanding the technical data contracts involved; spec how data from disparate tools should be integrated, deduplicated, and reconciled into a single, trusted data store
- Work with Data Architecture and the data warehouse team to align this with the existing BigQuery/attribution setup
- Build validation/monitoring so the source of truth is trusted by default; flag drift or breakage before stakeholders notice bad numbers
Technical ownership
- Where possible diagnose and resolve data quality issues directly (duplicate events, integer overflow/ID issues, broken field mappings, integration failures) rather than escalating to a data engineer
- Use AI tools (LLM-based agents, scripting, internal automation) to speed up recurring MarTech work: QA checks, documentation, campaign audits, migration validation, training material generation etc.
- Manage vendor relationships
What you’ll need for this role
You’re a technologist first, not a project coordinator. Someone who’s more comfortable in a SQL console or a data pipeline than in a status meeting, and who reaches for AI tools instinctively to move faster rather than waiting for someone else to build the tool for you.
You are comfortable operating in ambiguity, able to connect the dots between teams and skilled at turning broad goals into practical technical plans. You understand how marketing technology, measurement and data work together at a hands-on level, not just conceptually.
You will likely bring:
- Strong ability to translate business objectives into structured delivery plans, requirements and documentation
- Clear, confident communication skills with the ability to work effectively across teams with different priorities, disciplines and levels of technical understanding
- Experience managing multiple initiatives in parallel, including coordination of external vendors and delivery partners, while maintaining focus on outcomes
- Strong SQL and comfort working in BigQuery or an equivalent warehouse. You can write your own validation queries, not just request them
- Practical experience building with AI/LLM tools: automating a workflow, building an internal agent, or similar, beyond casual chatbot use
- Experience owning (not just contributing to) at least one platform migration or major data integration project
- Comfort working with Data Engineering teams to contribute in the design of data architecture
It really is more than a job. We think like a start-up, but we deliver like a FTSE 100 — so the bar is high, and we won't pretend otherwise. We work hybrid, which means three days in the office. We’ll recognise your talent and make sure that you can still have a life – at work, and outside of it. Networks, committees, awards, sports and social clubs, mentorships, volunteering opportunities, extra time off… the list goes on.
- Competitive salary
- Flexible Benefits Package on top of your salary (12%)
- Private medical cover for you and your family
- Life insurance
- Contribution to gym memberships
- 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total)
- The option to buy or sell holiday days
- A comprehensive global and local onboarding process
- Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
Learn more about the Perks here!
Join us for this exciting journey. Apply now!
Number of openings
1IG Group London, England Office
Cannon Bridge House, 25 Dowgate Hill, London, United Kingdom, EC4R 2YA
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