Head of Data - Maternity Cover

Head of Data - Maternity Cover

Full-Time 75600 - 92400 £ / year (est.) Hybrid
M

At a Glance

  • Tasks: Lead and develop Data Product and Analytics teams to deliver impactful insights.
  • Company: Join MONY Group, a dynamic leader in data-driven solutions.
  • Benefits: Enjoy competitive salary, pension contributions, bonuses, and flexible work options.
  • Other info: Embrace a diverse culture focused on personal development and inclusion.
  • Why this job: Make a real difference by shaping data strategies that benefit millions.
  • Qualifications: Proven leadership in Data and Analytics with strong commercial judgement.

The predicted salary is between 75600 - 92400 £ per year.

The Head of Data leads MONY Group's Data Product and Analytics teams. As a senior leader, the Head of Data is a problem solver and leads from the front. You'll work closely with the CDTO to set a clear direction for Data, bring together strategy, priorities and delivery, and ensure the analytics and data product function delivers meaningful value for our customers, colleagues and the business. You'll lead teams that provide trusted insight, analytics and data products capability across the Group. You'll ensure their work is commercially focused, scalable and easy to use, while helping build a high-performing, connected and engaged Data team.

WHAT YOU WILL BE DOING

  • Leading and developing the Data Product and Data Analytics teams, including performance, capability, succession and team engagement.
  • Setting and delivering the strategy, roadmap and priorities for Data Product and Data Analytics.
  • Working closely with the CTDO to define and deliver the Group Data strategy and operating model.
  • Creating a joined-up Data leadership team, with aligned priorities, strong leadership capability and clear ways of working.
  • Partnering with Product, Technology, Commercial, Finance, Marketing and Operations to identify and deliver data products, analytics, insight and automation that improve customer, commercial and operational outcomes.
  • Prioritising automation opportunities that improve efficiency, reduce manual effort and enable colleagues to focus on higher-value work.
  • Ensuring data products, reporting and self-service insight are trusted, scalable and easy to use.
  • Supporting the CTDO with Data's contribution to Executive and Board papers, including clear reporting on progress, value, priorities and risks.
  • Leading Data-wide engagement and communication, including all-hands sessions, strategy discussions and leadership through change.

Proven experience leading complex Data, Analytics or Data Product teams, including developing leaders and building high-performing teams. Experience setting strategy, prioritising competing demands and translating this into clear plans and delivery roadmaps. Strong commercial judgement, with the ability to identify how data, analytics, and data products can improve customer, operational and business outcomes. Broad understanding of the wider Data function and how data product and analytics teams work together to deliver trusted, scalable data capabilities, including data governance, quality, KPI definition and self-service insight. Strong stakeholder management and communication skills, with the ability to influence senior leaders and communicate clearly in Executive and Board settings.

Desirable

Experience of developing and scaling AI automation, AI-enabled analytics or self-service data products.

At MONY Group, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We're committed to minimising systemic bias and creating a level playing field for all candidates.

Pension up to 6% employer contribution. Bonus scheme. Digital Doctor on demand. Work from anywhere scheme - 2 weeks per year. Financial coaching. Mental health platform access.

Head of Data - Maternity Cover employer: Moneysupermarket Group

At MONY Group, we pride ourselves on being an exceptional employer that fosters a creative and collaborative work culture. With a strong commitment to employee development, we offer extensive growth opportunities, including mentorship and access to over 16,000 LinkedIn Learning courses. Our diverse team thrives in an inclusive environment where every voice matters, and we provide generous benefits such as a flexible work-from-anywhere scheme, a robust pension plan, and a focus on mental health support, making it a truly rewarding place to work.

M

Contact Details:

Moneysupermarket Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data - Maternity Cover

✨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 Moneysupermarket Group!

✨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 - Maternity Cover at Moneysupermarket Group.

✨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 Moneysupermarket Group.

✨Apply Directly through Our Website

When you find a suitable opening like Head of Data - Maternity Cover at Moneysupermarket Group, 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 - Maternity Cover

Leadership Skills
Data Strategy Development
Team Development
Stakeholder Management
Commercial Judgement
Data Governance
Analytics Expertise

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 Moneysupermarket Group, 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 Moneysupermarket Group. 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 Moneysupermarket Group

✨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 Moneysupermarket Group!

✨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.