IG Group
MarTech Lead (Data & AI)

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Job Title
MarTech Lead (Data & AI)
Job Description
So, who are we?
IG has been at the centre of retail trading and investment since 1974, when we helped create the market for financial spread betting. Today, we're a FTSE100 fintech operating across five continents, serving over 700,000 clients and handling billions in transactions - built on decades of 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 team
Our 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
We're looking for a hands-on MarTech Lead to take technical ownership of our marketing technology stack, not just manage the roadmap, but get into the data and fix what's broken. You'll lead two flagship projects: building a single source of truth by integrating and reconciling data across 40+ tools (Braze, GA4/BigQuery, Salesforce, and more) and owning our SFMC (Salesforce Marketing Cloud) to Braze migration end-to-end, including data validation and technical sign-off. Day to day, you'll diagnose data quality issues directly and use AI tooling to automate the manual work that used to take a whole team. This is a technical role at heart, strong data engineering fundamentals and real fluency with AI-assisted workflows matter more here than project management polish.
What you’ll do
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
- Personally validate data and journey parity between SFMC and Braze, reconciling records, logic, and event data at the SQL/pipeline level, not just sign-off via a status report
- 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Build the source of truth data
- 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
- 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
- Write and maintain SQL/Python for data validation, QA scripts, and user journey debugging.
- 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
- Working proficiency in Python (or another mainstream language) for scripting data checks, automation, and pipeline debugging
- 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 designing data architecture, schema decisions, identity resolution, reconciling conflicting data across systems


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How we work
We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office – which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:
- Lead and Inspire: Drives trust, alignment, and enthusiasm
- Think Big: Focus on the problems that most impact commercial outcomes
- Champion the client: Understand and prioritise client's needs
- Deliver at pace: Push for fast, sustainable growth;
- Raise the bar: Take ownership, be accountable and share feedback
We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We’re committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that’s why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here.
The Perks
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
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