Data Product Manager in London

Data Product Manager in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the evolution of our data platform for advanced analytics and AI.
  • Company: Join International SOS, a global leader in security risk management and health solutions.
  • Benefits: Enjoy a competitive salary, hybrid working, and a comprehensive benefits package.
  • Other info: Collaborate with experts in a supportive culture that values innovation.
  • Why this job: Make a real impact by bridging business and technology in a dynamic environment.
  • Qualifications: Experience in product management with a focus on data, analytics, or AI.

The predicted salary is between 60000 - 80000 £ per year.

International SOS is a global provider of security risk management, health, and wellbeing solutions that operates in 90 countries and employs nearly 13,000 experts.

We are seeking a Data Product Manager to define and evolve our data platform as a strategic product, enabling advanced analytics and AI readiness. This role bridges business and technology to ensure scalable, secure, and commercially valuable data capabilities.

Key responsibilities

  • Position the data platform as a scalable, reusable internal product and identify and address capability gaps across analytics, AI, and machine learning use cases.
  • Own and prioritise the product backlog across data ingestion, storage, quality, and governance.
  • Translate strategic objectives into clear deliverables, metrics, and outcomes.
  • Partner with Data Engineering and ML teams to deliver in an agile environment.
  • Establish standards for data quality, governance, and trust.
  • Ensure platform readiness for advanced analytics, MLOps, and AI deployment.
  • Collaborate with commercial teams to align platform capabilities with revenue opportunities.
  • Communicate progress, risks, and complex concepts clearly to stakeholders.

About you

  • Significant experience in product management within data, analytics, or AI environments.
  • Strong understanding of modern data platforms, cloud technologies, and data lifecycle management.
  • Ability to collaborate effectively with technical and non‑technical stakeholders.
  • Commercial mindset with a focus on delivering measurable business value.
  • Degree in Computer Science, Engineering, Information Systems, or a related field.

Benefits

  • Competitive salary and incentive scheme.
  • Hybrid working: 3 days in the office.
  • Birthday holiday and option to purchase additional annual leave.
  • Comprehensive Benefits Package: Private Pension, Private Medical Insurance, Life Assurance and more.

Data Product Manager in London employer: SOS International

International SOS is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the field of data management. With a strong focus on employee growth, the company provides comprehensive benefits, including a competitive salary, hybrid working options, and a robust benefits package, ensuring that team members are well-supported both personally and professionally. Working in a global environment with nearly 13,000 experts, employees have the unique opportunity to contribute to meaningful projects that enhance health and wellbeing solutions worldwide.

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Contact Details:

SOS International Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Product Manager in London

Get Involved in Data Science Meetups

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Show Off Your Projects

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Apply Directly through Our Website

When you find a suitable opening like Data Product Manager at SOS International, 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 Data Product Manager in London

Product Management
Data Platform Development
Advanced Analytics
AI Readiness
Data Ingestion
Data Storage
Data Quality Governance

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 SOS International, 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 SOS International. 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 SOS International

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 SOS International!

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.