Head of Data

Head of Data

City of London Full-Time 54000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead global data strategy, manage teams, and oversee client data management.
  • Company: Gain Theory is a top marketing consultancy focused on data-driven growth for ambitious brands.
  • Benefits: Enjoy a collaborative culture, professional development opportunities, and the chance to work with cutting-edge technology.
  • Why this job: Join a dynamic team that values innovation and offers a chance to shape the future of data.
  • Qualifications: Bachelor's in a quantitative field; experience in data management and strong leadership skills required.
  • Other info: Embrace our values: Be Curious, Be Positive, Act with Consideration, and Make it Better.

The predicted salary is between 54000 - 84000 £ per year.

Gain Theory, a VML company, seeks a highly experienced and driven Global Head of Data to lead our global data strategy and operations. This critical leadership role requires a blend of technical expertise, strategic vision, and strong people management skills within a matrixed global organization.

The Global Head of Data will be responsible for establishing and maintaining best practices, fostering a culture of innovation, driving the professional development of our data and analytics talent globally, and ensuring consistent standards and seamless collaboration across regions. This role will oversee both client-facing data management and internal Data Center of Excellence (DCOE) initiatives, ensuring high-quality data-driven insights that support Gain Theory's business objectives and enhance client value.

Key Responsibilities:
  • Global Data Strategy & Vision: Define and implement Gain Theory's global data strategy, aligning it with overall Gain Theory and VML business objectives. Establish a clear vision for the future of data at Gain Theory, incorporating industry best practices and emerging technologies.
  • DCOE Leadership: Oversee and drive global DCOE initiatives, including defining and scoping projects (e.g., common data sets, data training, best practices, tool standardization), coordinating with regional DCOE leads, and actively participating in data governance.
  • Client Data Management: Oversee the design, delivery, and maintenance of robust data management solutions for clients globally. Ensure timely and accurate data collection, processing, and quality assurance across all client engagements.
  • Team Leadership & Development: Lead, manage, and mentor a global team of data professionals, fostering a culture of collaboration, innovation, and continuous learning. Oversee talent acquisition, training, performance management, and career development.
  • Cross-Functional Collaboration: Collaborate effectively with client leads, modelers, analysts, designers, solution owners, and various COEs in a global matrix structure within Gain Theory and VML. Partner with DevOps, product, and engineering teams to drive cross-functional technology initiatives.
  • Resource Management & Optimization: Develop and implement strategies to optimize the cost structure of global data operations, including exploring opportunities to leverage talent pools in lower-cost markets while maintaining high quality and service levels.
  • Innovation & Thought Leadership: Stay abreast of industry trends and emerging technologies in data and analytics. Promote Gain Theory's and VML's data expertise and thought leadership through external presentations, publications, and industry events.
  • Performance Measurement & Reporting: Establish and monitor KPIs to track the performance of global data operations. Regularly report on progress to senior management, identifying areas for improvement and highlighting successes.
  • VML Alignment: Ensure alignment and integration of Gain Theory's data strategy and operations with VML's broader data and analytics initiatives. Collaborate with relevant VML teams to leverage synergies and maximize the value of data across the organization.
Skills/Qualifications:
  • Bachelor’s Degree in a quantitative field (e.g., Business, Marketing, Statistics, Computer Science, Information Science, Engineering).
  • Extensive experience in data management, analysis, and reporting, including working with diverse datasets, data processing tools (e.g., SQL, ETL), and robust QA processes.
  • Deep understanding of the advertising ecosystem (ad servers, DSPs, media strategy, measurement, reporting, etc.).
  • Experience leading requirements gathering, project planning, and implementation for both internal and client-side data projects.
  • Strong project management skills, including managing timelines, risks, resources, and multiple simultaneous projects.
  • Proven ability to manage and motivate teams in a global matrixed environment.
  • Excellent written, verbal, and presentation skills.
  • Experience with Multi-Touch Attribution, Market Mix Modeling, and reporting solutions (e.g., Tableau) highly valued.
  • Familiarity with programming languages (Python, Java, R) and programming concepts a plus.
90-Day Plan:
  • Days 1-30 (Assessment & Alignment): Meet with key stakeholders across Gain Theory, assess current global data capabilities and challenges, define initial priorities, and establish relationships with regional DCOE leads and relevant teams.
  • Days 31-60 (Strategy & Planning): Develop a comprehensive global data strategy and roadmap, outlining key initiatives, timelines, and resource requirements, ensuring alignment with Gain Theory’s corporate strategy. Begin exploring talent optimization strategies and developing talent management plans.
  • Days 61-90 (Implementation & Communication): Initiate key strategic initiatives (automation, team development, talent optimization strategy, etc.), establish performance tracking mechanisms, communicate the global data strategy to stakeholders across Gain Theory and VML.
OKRs:
  • Data Quality: Increase client satisfaction with data deliverables' accuracy and actionable insights by X%.
  • Processing Speed: Reduce average data processing time for marketing effectiveness projects by X%.
  • Team Scalability: Increase data team project capacity by X% while maintaining or improving per-project cost efficiency.
  • Team Satisfaction: Increase data team member satisfaction scores by X%.

Gain Theory is a leading global marketing effectiveness and foresight consultancy. We combine quality data, proprietary technology, and advanced analytics to give our clients the confidence to make better informed investment decisions that drive growth.

Growth is the defining characteristic of successful organisation and Gain Theory’s vision is to accelerate growth for ambitious brands. We define ambitious brands as those that generate earnings/profits that are above the industry average.

We deliver:

  • Data strategy, harmonization, and visualization.
  • Advanced analytics and modelling, including MMM, attribution and unified measurement, testing, segmentation, behavioural sciences, choice analytics, simulation, war gaming and forecasting.
  • High-touch consultancy that includes bespoke roadmaps, training and education, industry benchmarking and activation planning.

At Gain Theory, we love accelerating growth for ambitious brands and people. As a Gain Theorist, you will need to demonstrate behaviours which support our values. Our values are: Be Curious, Be Positive, Act with Consideration and Make it Better.

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Contact Detail:

Gain Theory Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Data

✨Tip Number 1

Network with professionals in the data management and analytics field. Attend industry events, webinars, or local meetups to connect with potential colleagues or mentors who can provide insights into Gain Theory's culture and expectations.

✨Tip Number 2

Familiarise yourself with Gain Theory's current projects and initiatives by researching their recent publications and case studies. This knowledge will help you demonstrate your understanding of their business objectives during interviews.

✨Tip Number 3

Showcase your leadership skills by preparing examples of how you've successfully managed teams in a global environment. Highlight specific instances where you fostered collaboration and innovation among diverse team members.

✨Tip Number 4

Stay updated on the latest trends in data analytics and technology. Being able to discuss emerging tools and methodologies will position you as a forward-thinking candidate who can contribute to Gain Theory's vision for the future of data.

We think you need these skills to ace Head of Data

Data Management
Data Analysis
Data Processing Tools (e.g., SQL, ETL)
Quality Assurance Processes
Project Management
Team Leadership
Cross-Functional Collaboration
Performance Measurement
Multi-Touch Attribution
Market Mix Modeling
Reporting Solutions (e.g., Tableau)
Programming Languages (Python, Java, R)
Strategic Vision
Stakeholder Engagement
Resource Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data management, analytics, and leadership. Use specific examples that demonstrate your ability to lead teams and manage complex projects, particularly in a global context.

Craft a Compelling Cover Letter: Your cover letter should reflect your understanding of Gain Theory's mission and values. Discuss how your background aligns with their goals, particularly in driving data strategy and fostering innovation within teams.

Showcase Technical Skills: Emphasise your technical expertise in data processing tools and programming languages mentioned in the job description. Provide examples of how you've successfully applied these skills in previous roles to achieve measurable outcomes.

Demonstrate Leadership Experience: Highlight your experience in leading diverse teams and managing cross-functional collaborations. Share specific instances where you have mentored team members or driven successful projects that required coordination across different regions.

How to prepare for a job interview at Gain Theory

✨Understand the Company Culture

Before your interview, take some time to research Gain Theory's values and culture. Familiarise yourself with their commitment to curiosity, positivity, consideration, and improvement. This will help you align your answers with what they value in their employees.

✨Showcase Your Leadership Experience

As the Head of Data, you'll be leading a global team. Be prepared to discuss your previous leadership roles, focusing on how you've managed teams in a matrixed environment. Highlight specific examples where you fostered collaboration and innovation among your team members.

✨Demonstrate Technical Expertise

Given the technical nature of this role, be ready to discuss your experience with data management tools and methodologies. Prepare to talk about your familiarity with SQL, ETL processes, and any programming languages you know, such as Python or R, as these are crucial for the position.

✨Prepare for Strategic Discussions

The role requires defining and implementing a global data strategy. Think about how you would approach this task and be ready to share your vision for data at Gain Theory. Discuss industry trends and how you would incorporate emerging technologies into their data strategy.

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