Data Product Manager: Turn Data into Impact

Data Product Manager: Turn Data into Impact

Full-Time 58540 - 71548 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform data into impactful products that support cancer patients and colleagues.
  • Company: Join Macmillan Cancer Support, a leading charity making a difference.
  • Benefits: Flexible hybrid working, competitive salary, and opportunities for personal growth.
  • Other info: Work in a supportive environment with a focus on collaboration and innovation.
  • Why this job: Make a real impact in the fight against cancer through innovative data solutions.
  • Qualifications: Experience in product management and a passion for data-driven decision making.

The predicted salary is between 58540 - 71548 £ per year.

Macmillan Cancer Support is seeking a Data Product Manager to help turn data into trusted, reusable products and capabilities that support colleagues and people affected by cancer.

You’ll own product visions and roadmaps, and collaborate with data engineers, architects and analysts to deliver data products that are useful, scalable and compliant with governance, privacy and security requirements.

This hybrid role offers flexibility across our London, Shipley and Glasgow locations.

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Data Product Manager: Turn Data into Impact employer: Macmillan Cancer Support

At Macmillan Cancer Support, we pride ourselves on being an exceptional employer dedicated to making a meaningful impact in the lives of those affected by cancer. Our hybrid working model promotes flexibility, allowing you to balance your professional and personal life while collaborating with a passionate team in our London office. With a strong focus on employee growth, innovative projects in data and AI, and a culture that values inclusivity and collaboration, we offer a unique opportunity to contribute to transformative change in healthcare.

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Contact Details:

Macmillan Cancer Support Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Product Manager: Turn Data into Impact

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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 Macmillan Cancer Support.

Apply Directly through Our Website

When you find a suitable opening like Data Product Manager: Turn Data into Impact at Macmillan Cancer Support, 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: Turn Data into Impact

Product Vision Development
Roadmap Planning
Collaboration with Data Engineers
Collaboration with Data Architects
Collaboration with Data Analysts
Data Governance
Privacy Compliance

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!

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Craft a Tailored Cover Letter:For a full-time role at Macmillan Cancer Support, 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 Macmillan Cancer Support. 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 Macmillan Cancer Support

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!

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Get Comfortable with Python and R

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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.