At a Glance
- Tasks: Lead data management and visualisation projects, ensuring data quality and operational efficiency.
- Company: Join OMD EMEA, part of the world's largest media network, focused on innovation.
- Benefits: Flexible working with three days in the office, competitive salary, and professional development opportunities.
- Other info: Dynamic environment with a focus on empathy and continuous improvement.
- Why this job: Make a real impact by driving data solutions and collaborating with diverse teams.
- Qualifications: Experience in data governance, analytics, and strong communication skills required.
Agency:
Omd
Job Function:
Data and Analytics
Job Subfunction:
Data Engineering
Job Description:
The Senior Manager, Data Operations will lead the development and ongoing operation of one of our largest clients in Data & Tech.
This role requires extensive experience with analytics and technology tools, both syndicated and proprietary.
The ideal candidate will proactively communicate opportunities, build strong internal and external relationships, and drive the growth and development of the data operations practice.
Primary Responsibilities
- Lead the development, maintenance and implementation of a comprehensive data management and integrity programme.
- Oversee the design, requirements gathering, development and delivery of reporting applications.
- Manage cross-functional teams to understand complex data issues, establish priorities and implement solutions.
- Define and develop business rules for data cleansing and QA processes.
- Facilitate communication and progression of tasks through regular status meetings and working sessions.
- Ensure industry data standards are utilised to drive data quality and compliance.
- Act as the subject matter expert for projects relating to data quality and business rules.
- Generate targeted solutions for data quality issues and operational inefficiencies.
- Supervise analysts and offshore teams performing data operations and quality assurance tasks.
- Foster positive relationships with Planning, Channel Leads and Data Transformation Technology teams.
- Provide strategic direction and leadership to the Data Operations team.
- Mentor and develop team members while promoting continuous improvement.
- Collaborate with senior leadership to identify and implement innovative data solutions.
- Lead high-impact projects and initiatives, ensuring successful delivery.
- Partner closely with the Operations Director to support client management, media planning, team coordination and process improvement.
Experience & Skills Needed
- Experience in an advertising agency; Ad Operations, Analytics or Digital Investment experience preferred.
- Experience in data governance and data quality processes within Data Warehousing, ETL and Business Intelligence environments.
- Experience in Business Analysis.
- In-depth knowledge across multiple media channels including digital, search, social and offline.
- Strong attention to detail and excellent written and verbal communication skills.
- Exceptional organisational skills with the ability to manage multiple priorities simultaneously.
- Comfortable working with budgets, numbers and scoping exercises.
- Strong Excel skills.
- Ability to troubleshoot data quality, governance and operational issues.
- Experience managing stakeholders and cross-functional teams.
About the Agency:
At OMD EMEA, we strive to deliver on our promise of ‘better decisions, faster‘ for our clients, partners and all 6,000+ OMDers across our region every day. As part of the world’s largest media network, our business is staging experiences for consumers who have more choice and less attention than ever before. The key to the process is empathy. Empathy to see the world through the eyes of the consumer, to recognise the needs of our clients and to identify aspirations of our talent.
Learn Fast, Act Fast. To help navigate the road to a ‘new normal’, learning from, and acting upon data signals at scale and speed is crucial. Visit Why OMD? to learn more about our unique Act Fast Framework.
Our working pattern for colleagues is to be present in the office three days a week at our offices in London with the other days available to work remotely. Let us know if you have any questions about our working pattern as part of your application and interview process.



Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/
Manager, Data Management & Visualisation in London employer: Omdintuk Omd Emea
At OMD EMEA, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through mentorship opportunities and a focus on continuous improvement, all while working in the vibrant city of London. With a flexible working pattern that allows for remote work, we empower our team to thrive both personally and professionally, making OMD a rewarding place to build your career in data management and visualisation.
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We think this is how you could land Manager, Data Management & Visualisation in London
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We think you need these skills to ace Manager, Data Management & Visualisation in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
