Job Properties
  • Job Type
    Full-time Position
  • Background
  • Languages
  • Experience Required
    10+ Years
  • Degree Required
    • Province
    • Date Posted
      October 16,2020
    • Career Consultation
    • Career Consultation
    • CV CHECK
    • internship package
    • Premium Package

    VP Data & ML

    VP Data Science job description

    At TomTom…

    You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.

    We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens and cities move towards a safe, autonomous world that is free of congestion and emissions.

    Our ambition is to lead in location-based data science and machine learning. The VP Data Science will lead a central unit, and will be responsible for: common infrastructure, governance and standards for collecting and cataloguing our data; a common platform for exploring data, performing experiments, training models, and deploying them in a privacy-sensitive way; and leading our community of data scientists, research engineers, and data engineers to create a world-class environment for applied research with significant positive impact on our business results. This role is expected to drive deep engagement by the central team with working data scientists around the company to solve real problems for the business, while creating further leverage by constantly evolving the central platform and infrastructure.

    The purpose of the role is to drive the TomTom organization (especially product development) to create more business value from data science, which includes advanced analytics, big data, and machine learning. The VP Data Science role reports to the CTO and is based in Amsterdam.

    Desired Impact

    • Our capability to transform experimental outcomes to business impact is significantly improved
    • Stakeholders believe TomTom is a leader in location-based data science and machine learning
    • Customers report that we are more advanced in our use of data science and machine learning than our competitors
    • The overview of our data science activities shows more satisfactory business value creation
    • Our data scientists are satisfied with their impact on our customers’ experience and our business performance
    • Data science and ML are integrated into our business strategy
    • An improved level of data and ML understanding in our general management


    • Work with the CTO, CPO, and SVP Engineering to drive organizational change to create more value from data science and machine learning
    • Manage the central Data Unit
    • Attract and recruit talented data scientists
    • Own the data science job family and to define the performance and recruiting models and career paths
    • Coach data scientists to help them to develop their skills
    • Raise TomTom’s general understanding of data science and machine learning, including training data scientists and executives
    • Contribute to the company strategy to ensure it integrates data science and machine learning opportunities
    • Develop a data and ML science strategy
    • Oversee the application of data science and machine learning in our product development activities, assess the use of data science and machine learning in product teams, and influence Product Unit management to achieve greater business value from data science and machine learning, including prioritizing high-impact activities and opportunities
    • Maintain relationships with higher management, including Product Unit Heads and Product Managers, and influence management to pursue the most impactful data science and machine learning opportunities
    • Working with Marketing and HR to promote TomTom as a company that effectively uses data science and machine learning, to customers and prospective employees


    • The right candidate should build trust and relationships within the organization to drive organizational improvement
    • A recognized data science authority, with supporting credentials
    • Experience of driving organizational change to take advantage of data science and machine learning, ideally in a company with software-intensive products
    • Communication and influencing skills: interpersonal, presentational, and written (ability to write clear and concise documents)

    Achieve more

    We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world. We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values: We care, putting our heart into what we do; we build trust (you can count on us); we create – driven to make a difference; we are confident, but don’t boast; we keep it simple, since life is complex enough; and we have fun because life’s too short to be boring.

    After you apply

    Our recruitment team will work hard to give you a meaningful experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews through your onboarding.

    TomTom is an equal opportunity employer

    We celebrate diversity, thrive on each other’s differences and are committed to creating an inclusive environment at our offices around the world. Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.

    Ready to move the world forward?


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