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⚡ Source: ReedRef: 56828574

Data & Tech Manager

Sphere Digital Recruitment·London·Posted 6 days ago
💰 50-60k GBP/year
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Job description

Original text imported from Reed


An exciting opportunity with a leading marketing and media organisation in London is looking for a Data and Technology Manager to join their Data and Tech Strategy team.

  • Based in London
  • 2 to 3 days a week in the office
  • Start date: ASAP
  • Up to £60k per annum
The Job

As the Data and Technology Manager, your responsibilities will include:

  • Leading audits across client data and tracking setups to diagnose signal loss, tracking gaps and compliance issues
  • Designing future state tracking and measurement architectures to improve algorithmic media performance
  • Defining and specifying data pipelines to enable value based bidding, offline conversion tracking and improved ROI
  • Acting as a trusted advisor to senior client stakeholders, translating technical issues into clear commercial outcomes
  • Bridging the gap between data strategy, technical execution and media activation teams
  • Working closely with analytics, performance and experimentation teams to ensure tracking aligns with measurement frameworks
  • Partnering with internal and external technical teams to scope, specify and deliver complex ad tech and analytics solutions
You
  • Strong experience across ad tech, performance marketing and digital measurement
  • Hands on knowledge of GA4 and the wider Google Marketing Platform ecosystem
  • Deep understanding of modern tracking solutions including tag management, server side tracking, consent solutions and conversion APIs
  • Experience working with algorithmic media buying and value based bidding approaches
  • Confident translating technical detail into clear, commercially focused recommendations
  • Comfortable working with senior stakeholders across marketing, media, product and technology
Apply Now

You can apply for the Data and Technology Manager position now by sending us your CV or by calling us now. Don't forget to register as a candidate too.

Amy Brown
Principal Management Consultant

Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch to find out how we can help you. Please take a look at our website.

Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.


Sphere Digital Recruitment currently have a variety of job opportunities across digital so feel free to get in touch with us to find out how we can help you. Please take a look at our website.

Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.

If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.

SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
GA4Google Marketing PlatformAd tech platformsPerformance marketingDigital measurementTag managementServer-side trackingConversion APIsAlgorithmic media buyingValue-based bidding
Nice-to-have
Consent management solutionsData pipeline designAnalytics experimentationMedia activation platforms
Soft skills
Stakeholder managementCommunicationProblem solvingStrategic thinkingCollaborationAdvisory skills
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your GA4 and Google Marketing Platform expertise prominently as these are specifically mentioned as core requirements

2

📊 Quantify your ad tech achievements: 'Improved algorithmic performance by 35% through server-side tracking implementation'

3

🔧 Showcase specific tracking solutions you've implemented including consent management and conversion APIs

4

🎯 Emphasise your stakeholder management experience with senior marketing and technology teams

5

💡 Demonstrate your ability to translate technical concepts into commercial outcomes with concrete examples

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AI SpeedCV

Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Led GA4 migration for 12 enterprise clients, implementing server-side tracking that reduced signal loss by 28% and improved algorithmic bidding performance
  • Designed conversion API integrations for 8 major retail brands, enabling value-based bidding strategies that increased ROAS by 42% within 6 months
  • Conducted comprehensive ad tech audits across 15 client accounts, identifying compliance gaps and delivering measurement frameworks that improved campaign ROI by £1.2M annually

Free to copy — tailoring requires a 30-sec CV upload.

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AI cover letter

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Letter preview — tailored to Sphere Digital Recruitment

Dear Hiring Manager,

I am writing to apply for the Data & Technology Manager position at your leading marketing organisation. My extensive experience with GA4, Google Marketing Platform, and algorithmic media buying aligns perfectly with your requirements for improving client tracking architectures and measurement frameworks.

My background in ad tech and performance marketing has equipped me with the technical expertise to diagnose signal loss, implement server-side tracking solutions, and design data pipelines that enhance ROI. I excel at translating complex technical concepts into clear commercial outcomes for senior stakeholders across marketing and technology teams.

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SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • How would you diagnose signal loss in a GA4 implementation?
  • Explain the difference between client-side and server-side tracking approaches
  • How do conversion APIs improve data quality for algorithmic bidding?
  • What are the key components of a modern consent management solution?
  • How would you design a data pipeline for value-based bidding?

Behavioural

  • Tell me about a time you had to explain complex technical issues to senior stakeholders
  • Describe a situation where you had to bridge gaps between different teams
  • Give an example of when you identified and solved a tracking compliance issue
  • How do you approach working with both internal and external technical teams?
  • Tell me about a time you improved media performance through better measurement
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you had to explain complex technical issues to senior stakeholders

When implementing server-side tracking for a major retail client, their CMO was concerned about the 3-week implementation timeline affecting their Q4 campaigns. I created a visual presentation showing how signal loss was costing them £8,400 weekly in missed conversions. I explained that server-side tracking would recover 85% of this lost data, translating to £280,000 additional revenue over the quarter. I also provided a phased rollout plan that maintained their current campaigns while gradually implementing the new tracking. The CMO approved the project immediately and we delivered 32% improvement in conversion accuracy within 4 weeks.
2Question

Describe a situation where you had to bridge gaps between different teams

Our analytics team identified a 15% discrepancy between GA4 and the media buying platform data, while the performance team needed accurate conversion values for algorithmic bidding. The technical team wanted to rebuild everything, but media activation needed a solution within 2 weeks for a £500,000 campaign launch. I organised daily standups between all three teams and proposed implementing conversion APIs as an interim solution while planning the full server-side migration. I created a shared tracking specification document and assigned specific responsibilities to each team. This approach resolved the data discrepancy to under 3% within 10 days, allowing the campaign to launch successfully with 28% better ROAS than previous quarters.

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