Data Management Governance and Quality Lead in City of London
Data Management Governance and Quality Lead

Data Management Governance and Quality Lead in City of London

City of London Full-Time 120000 - 120000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data strategy and contribute to modelling, orchestration, and BI in a fast-growing platform.
  • Company: Mission-driven company with a strong foundation and clear product-market fit.
  • Benefits: Up to £120,000 salary, flexible working hours, and professional development opportunities.
  • Other info: Collaborative environment with a focus on ownership and growth.
  • Why this job: Shape the future of data and AI while advancing your career towards Data Director.
  • Qualifications: Experience in data engineering, team leadership, and deep data modelling expertise.

The predicted salary is between 120000 - 120000 £ per year.

You’ll play a key role in evolving a modern data stack into a scalable, business-aligned function within a fast-growing, mission-driven platform with strong foundations and clear product–market fit.

You’ll operate as a hands-on data leader, owning strategy while still contributing technically across modelling, orchestration, ingestion and BI.

This is a critical hire; you will also explore and shape how AI sits within Data, helping users interpret data more responsibly, not just faster.

The environment is collaborative, pragmatic and ownership-driven, with a clear path toward Data Director as the function formalises.

Stack: BigQuery, dbt Core, Airflow, Airbyte, Python, LLMs

  • Strong commercial experience in data engineering/analytics engineering roles
  • Proven experience leading a small data team
  • Deep data modelling expertise
  • Exposure to AI/LLM tooling (commercial or personal) and an interest in how it can be applied to data interpretation

Flexible working hours

Hybrid working

Flexible Bens Scheme

Professional Development

Data Management Governance and Quality Lead in City of London employer: RevTech

As a Data Management Governance and Quality Lead, you will thrive in a dynamic and collaborative environment that prioritises ownership and innovation. With a strong focus on professional development and flexible working arrangements, this role offers a unique opportunity to shape the future of data strategy while advancing your career towards a Data Director position. Join a mission-driven platform in London that values your contributions and supports your growth in the evolving landscape of data and AI.
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Contact Detail:

RevTech Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Management Governance and Quality Lead in City of London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, especially those involving BigQuery, dbt Core, or AI tools. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data modelling and leading teams, as well as how you envision AI enhancing data interpretation.

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us evolve our data stack and drive our mission forward. Your next big opportunity could be just a click away!

We think you need these skills to ace Data Management Governance and Quality Lead in City of London

Data Strategy
Data Modelling
Data Orchestration
Data Ingestion
Business Intelligence (BI)
AI/LLM Tooling
Team Leadership
Data Engineering
Analytics Engineering
BigQuery
dbt Core
Airflow
Airbyte
Python
Collaboration Skills

Some tips for your application 🫡

Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! We want to see how you’ve engaged with data in the past and how it aligns with our mission-driven platform. Share specific examples that highlight your experience and interest in evolving data strategies.

Tailor Your Application: Make sure to customise your application for the Data Management Governance and Quality Lead role. We’re looking for someone who understands our tech stack and can contribute technically. Highlight your experience with BigQuery, dbt Core, and other tools mentioned in the job description.

Demonstrate Leadership Skills: Since this is a critical hire, we want to see your leadership experience front and centre. Talk about your previous roles leading data teams and how you’ve fostered collaboration and ownership within those teams. Show us how you can guide others while still being hands-on!

Be Authentic and Clear: Keep your application clear and authentic. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Let your personality come through, and don’t hesitate to express why you’re excited about the opportunity to work with us at StudySmarter!

How to prepare for a job interview at RevTech

✨Know Your Data Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like BigQuery, dbt Core, and Airflow. Brush up on your knowledge of data modelling and orchestration techniques, as you’ll want to demonstrate your technical expertise during the interview.

✨Showcase Your Leadership Skills

Since this role involves leading a small data team, be prepared to discuss your previous leadership experiences. Share specific examples of how you've successfully managed teams, resolved conflicts, or driven projects forward. This will show that you can thrive in a collaborative and ownership-driven environment.

✨Emphasise AI Knowledge

Given the focus on AI and LLMs, it’s crucial to highlight any relevant experience you have with these tools. Discuss how you’ve applied AI in data interpretation or any personal projects that showcase your understanding of AI's role in data management.

✨Prepare Questions About the Company Culture

Since the environment is described as collaborative and pragmatic, come prepared with questions that reflect your interest in their culture. Ask about team dynamics, how they encourage professional development, or how they handle challenges within the data function. This shows you’re not just interested in the role, but also in fitting into their team.

Data Management Governance and Quality Lead in City of London
RevTech
Location: City of London

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