At a Glance
- Tasks: Lead the onboarding of markets onto the Open Intelligence platform and support data operations.
- Company: VML, part of WPP, a leading creative company driving growth for top brands.
- Benefits: Hybrid work model, inclusive culture, and opportunities for career progression.
- Other info: Join a dynamic team dedicated to creativity, collaboration, and continuous improvement.
- Why this job: Be at the forefront of data innovation and help markets unlock valuable insights.
- Qualifications: Experience in data operations and strong coordination skills across teams.
The predicted salary is between 63000 - 77000 £ per year.
VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization.
About WPP: WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.
Role Overview: As we scale the rollout of Open Intelligence across global markets, we are looking for a Data Operations & Enablement Manager to help operationalize the platform and support markets as they onboard data and adopt new capabilities. This role sits at the intersection of data platforms, operations, and market enablement, ensuring that local teams can successfully onboard data into OI, follow the defined operational processes, and build the capabilities required to support client use cases over time.
Key Responsibilities:
- Lead the operational onboarding of markets onto the OI platform.
- Support regional teams in understanding the process for onboarding datasets and building connectors.
- Ensure markets have the documentation, tooling, and access needed to operate independently.
- Coordinate training sessions and technical walkthroughs for local teams.
- Develop and maintain the operational playbooks for data onboarding and platform adoption.
- Translate technical documentation into clear operational workflows for markets.
- Establish repeatable processes that support scalable rollout across multiple regions.
- Coordinate the onboarding of global and local data sources through connectors.
- Support markets during initial data ingestion and troubleshooting.
- Work closely with the connector engineering team to track progress and resolve issues.
- Track rollout progress across markets and maintain visibility on dependencies and blockers.
- Work with product and engineering teams to align on timelines, readiness, and support requirements.
- Maintain centralized tracking of onboarding activities, requests, and issues.
- Capture lessons learned from pilot markets and incorporate them into improved onboarding processes.
- Identify opportunities to streamline rollout, documentation, and support structures.
- Help define the long-term operational model for OI adoption across regions.
Key Skills & Experience:
- Experience in data platform operations, analytics platforms, or data infrastructure programs.
- Experience supporting global rollouts or platform adoption across multiple markets.
- Ability to translate technical systems into clear operational processes.
- Strong coordination skills across engineering, product, and business teams.
- Experience with data pipelines, connectors, or data ingestion workflows.
- Excellent documentation and enablement skills.
What Success Looks Like: Within the first 6-12 months, success in this role will mean:
- Markets can onboard data into OI with minimal central support.
- Clear operational playbooks exist for data onboarding and connector setup.
- Market teams understand the process and responsibilities for data ingestion.
- Rollout across new markets becomes predictable and repeatable.
- Lessons from pilot markets are embedded into the global rollout framework.
Why This Role Matters: Open Intelligence is a foundational capability that will enable markets to unlock richer insights and smarter media strategies. This role will play a critical part in ensuring that the platform can scale effectively and that markets are equipped to use it successfully.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Senior Data Platform Enablement Lead employer: Bav Group México
VML is an exceptional employer that champions creativity and collaboration, offering a dynamic work culture where innovation thrives. With a commitment to employee growth, VML provides ample opportunities for professional development and the chance to work with prestigious clients in a hybrid environment that fosters connection and flexibility. Located in vibrant cities like London, employees benefit from a diverse and inclusive atmosphere that values every individual's contribution, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Enablement Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Bav Group México!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Platform Enablement Lead at Bav Group México.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Bav Group México.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Platform Enablement Lead at Bav Group México, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Platform Enablement Lead
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Bav Group México, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bav Group México. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bav Group México
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bav Group México!
✨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.
