Head of Data Asset Portfolio in London

Head of Data Asset Portfolio in London

London Full-Time 60750 - 74250 £ / year (est.) Hybrid
E

At a Glance

  • Tasks: Lead the strategy and performance of our data asset portfolio to drive business impact.
  • Company: Join Euromonitor, a global leader in data analytics and market research.
  • Benefits: Enjoy competitive salary, flexible working hours, and generous holiday allowances.
  • Other info: Be part of a diverse, international team with excellent growth opportunities.
  • Why this job: Make a real difference by shaping data strategies that empower businesses worldwide.
  • Qualifications: Proven leadership in managing complex data portfolios and strong commercial acumen required.

The predicted salary is between 60750 - 74250 £ per year.

About Euromonitor

Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.

Purpose of the role

The Head of Data Asset Portfolio leads the commercial performance, business effectiveness and strategic direction of the organisation's data asset portfolio. The role acts as the single business owner across all data assets, aligning client demand, commercial priorities and methodological requirements into one coherent roadmap. The role ensures assets deliver measurable value across Passport, Consulting and New Product initiatives while creating a consistent framework for quality, governance, adoption and return on investment.

Key Accountabilities

  • Portfolio Strategy: Define the business purpose, commercial value and strategic direction of all data assets to maximise customer value and business impact.
  • Roadmap and Prioritisation: Own the cross-asset roadmap and prioritisation framework to ensure resources are focused on the highest-value opportunities.
  • Commercial Performance: Develop and track KPIs, ROI measures and commercial outcomes across products and services that utilise data assets.
  • Team Leadership and Development: Recruit and establish the Data Assets team, setting clear KPIs, responsibilities and workload expectations. Build team capability alongside the development of the asset roadmap.
  • Research Integration: Define how assets support research methodologies, analytical workflows, models and emerging AI-enabled capabilities.
  • Quality and Governance: Establish business quality standards, usage policies and governance frameworks that support confidence in outputs and client defensibility.
  • Cross-functional Leadership: Align priorities across Product teams to deliver successful commercial and client outcomes.
  • Asset Adoption: Drive consistent use of assets across heritage products, consulting solutions and new product development.
  • Continuous Improvement: Maintain a pipeline of new data sources, enhancements and commercialisation opportunities that strengthen portfolio value.
  • Performance Management: Monitor portfolio health, delivery progress and value realisation, addressing risks and prioritisation conflicts.
  • Knowledge and Capability Development: Ensure critical asset knowledge, source expertise and business context are documented and institutionalised.

Proven leadership experience managing complex data, research or information portfolios. Proven line management experience, including establishing teams, setting expectations, managing performance and developing capability. Strong commercial acumen with the ability to translate data investment into measurable business value. Deep understanding of data governance, quality management and lifecycle practices. Strong stakeholder management skills across senior business, product and technical communities. Experience developing enterprise roadmaps, prioritisation frameworks and investment cases. Strong analytical and decision-making capability supported by evidence and performance metrics. Experience operating in research, data, insight or information-driven organisations. Ability to influence and lead through change in complex matrix environments.

Generous salary, pension, holidays plus bank holidays, 40 hours personal development, work from anywhere in the world, up to 15 days a year, flexi working hours.

Why work for Euromonitor?

  • Our Values: We seek individuals who act with integrity, are curious about the world, feel that as a community we’re stronger together, enable people to feel empowered, and bring strength in diversity.
  • International: We have a very multinational workforce in each office and communicate across our 16 offices worldwide on a daily basis.
  • Hardworking and sociable: Our staff know how to work hard and enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising.
  • Committed to making a difference: Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays.
  • Excellent benefits: We offer competitive salaries, enhanced healthcare and pensions, plus generous holiday allowances, hybrid working and flexible start and finish times.
  • Opportunities to grow: We offer extensive training and development opportunities at all levels. The vast majority of our Managers and Directors have been promoted from within.

Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.

Head of Data Asset Portfolio in London employer: Euromonitor

At Euromonitor London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Finance Systems Manager, you will benefit from our commitment to employee growth through continuous learning opportunities and a supportive environment that encourages professional development. Located in the vibrant city of London, we offer a dynamic workplace where your contributions directly impact our global finance platforms, making your role both meaningful and rewarding.

E

Contact Details:

Euromonitor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Asset Portfolio in London

✨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 Euromonitor!

✨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 Head of Data Asset Portfolio at Euromonitor.

✨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 Euromonitor.

✨Apply Directly through Our Website

When you find a suitable opening like Head of Data Asset Portfolio at Euromonitor, 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 Head of Data Asset Portfolio in London

Commercial Acumen
Data Governance
Quality Management
Portfolio Management
KPI Development
Stakeholder Management
Analytical Skills

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 Euromonitor, 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 Euromonitor. 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 Euromonitor

✨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 Euromonitor!

✨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.