Head of Engineering MM (Basé à London)

Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.

Job Description

We are seeking an experienced and visionary Head of Engineering to lead our Media Measurement Engineering and Architecture Organization. This role requires an accomplished engineering leader with a proven track record of scaling global organizations, driving cross-functional collaboration, and delivering robust, cloud-driven, and scalable solutions. The ideal candidate will serve as both a lead architect and mentor, fostering excellence across engineering practices, tools, and metrics while staying ahead of emerging technologies and evolving engineering methodologies.

Key Responsibilities:

Organizational Leadership & Strategy

1. Design and implement a robust engineering organizational blueprint that ensures a well-structured, high-performing team with a clear emphasis on critical functions such as data engineering, quality assurance, and platform scalability.

2. Establish a culture of engineering excellence by embedding best practices, modern tooling, operational discipline, and clear KPIs/metrics to drive performance, accountability, and continuous improvement.

3. Manage capability and competence levels within the organization to ensure sustained success amidst evolving technologies and new ways of working, enabling agility, adaptability, and future-proofing the organization.

4. Ensure a strong career development framework, empowering engineers and architects with structured growth trajectories while maintaining strong ownership and accountability across teams.

People & Financial Management

1. Oversee an engineering organization of 100+ associates distributed across Germany, Bulgaria, Switzerland, and India, managing an associated budget of $15-20 million.

2. Build and lead a high-caliber, diverse, and geographically distributed team of engineers, architects, and technical leaders, ensuring scalability and efficiency across global hubs.

Cloud & Data Engineering Expertise

1. Leverage deep expertise in Cloud Architectures (AWS, Azure, GCP) to design and implement scalable, secure, and high-performing solutions.

2. Lead initiatives in data engineering, including data pipelines, processing, analytics, and storage, to enable efficient and effective business insights.

3. Architect and drive best-in-class engineering practices, ensuring high performance, reliability, and scalability of cloud-native applications, big data platforms, and engineering automation.

Solution Delivery & Execution

1. Drive the successful, on-time delivery of complex solutions that meet both business and technical needs.

2. Ensure seamless execution of cloud-based deployments, data-driven decision-making capabilities, and platform enhancements.

3. Implement engineering automation strategies, including testing automation, quality assurance frameworks, and AI-driven development tools to enhance productivity and efficiency.

Cross-Functional Collaboration & Innovation

1. Work closely with cross-functional teams (Product, Operations, Data Science, Commercial teams) to align on roadmaps, technology investments, and delivery timelines.

2. Foster innovation in software engineering, integrating AI, automation, and co-pilot technologies to enhance development efficiency and quality assurance.

Operational Efficiency & Cost Optimization

1. Strategically structure and scale global engineering teams, ensuring cost efficiency without compromising quality.

2. Optimize the mix of high-cost and low-cost development centers to maximize impact and efficiency.

Qualifications

1. Extensive experience in engineering leadership, with a focus on building and scaling global teams across geographies.

2. Proven expertise in Cloud architectures, distributed systems, and data engineering frameworks.

3. Strong experience in engineering automation, including quality assurance, testing automation, and AI-driven development tools.

4. Demonstrated ability to design and implement data pipelines, large-scale data processing systems, and analytics platforms.

5. Deep understanding of DevOps, CI/CD best practices, and data security principles.

6. Strong background in media measurement or related industries is highly beneficial.

7. Experience in managing large budgets, vendor relationships, and contractor teams in alignment with organizational goals.

8. Exceptional communication and leadership skills, with the ability to influence and drive results across diverse teams and stakeholders.

Why Join Us?

This position offers a unique opportunity to shape the future of a dynamic and evolving media measurement organization, drive innovation in cloud and data engineering, and build a world-class engineering team. If you are a visionary leader with deep technical expertise and a passion for scaling global teams, we invite you to apply and be part of our journey to excellence.

#J-18808-Ljbffr