At a Glance
- Tasks: Lead data product initiatives and shape analytics strategies for impactful customer experiences.
- Company: Join MONY Group, a mission-driven company transforming financial decisions for millions.
- Benefits: Enjoy 27 days holiday, bonus schemes, and a flexible work-from-anywhere policy.
- Other info: Inclusive culture that values diversity and encourages personal growth.
- Why this job: Make a real difference by turning complex data into valuable products for customers.
- Qualifications: Strong experience in data product management and leadership skills required.
The predicted salary is between 63000 - 77000 £ per year.
Location: London (Dean Street) or Manchester (Spinningfields) | Hybrid: 2 days in the office per week
MONY Group - Where better off begins. We’re on a mission to help millions of people make better financial decisions and build brighter futures. Through trusted brands including MoneySuperMarket, MoneySavingExpert and Quidco, we reach millions of people every month, making money simpler and helping customers get more from life.
We’re building the next generation of consumer technology experiences, using data, cloud technology and AI to solve real problems at scale. Our culture is shaped by our behaviours: Accountability, Simplicity, Inclusion and Innovation. We take ownership, make the complex simple, value different perspectives, and challenge ourselves to find better ways to do things.
As our Data Product Lead, you’ll provide strategic leadership across Data Product and Advanced Analytics, shaping the data products and capabilities that help us understand our customers, make better decisions and deliver measurable value.
About the Role:
- You’ll sit at the intersection of Data, Product and the wider business, identifying where data and advanced analytics can have the greatest impact and turning those opportunities into clear, scalable products.
- You’ll own the vision and roadmap for Advanced Analytics and MAPs, our account-level customer intelligence capability.
- Working across Data Science, Data Engineering, CRM, Finance and other teams, you’ll balance competing priorities and focus investment on the opportunities that can create the greatest value.
- This is a leadership role as much as a product role. You’ll lead and develop three Data Product team members, establishing strong product practices, clear accountability and a culture of continuous learning.
- You’ll also help us explore what’s next, bringing new thinking into the team.
What Makes Us Different:
- Purpose with scale - The data products you shape will help us make better decisions and create better experiences for millions of customers.
- Data with a purpose - We start with the problem we’re trying to solve, not the technology.
- Real ownership - You’ll have the opportunity to shape Data Product strategy, priorities and ways of working.
- Collaboration by design - You’ll work across various teams to turn complex opportunities into scalable products.
- Responsible innovation - We’re exploring the opportunities created by AI and advanced analytics while keeping data quality, privacy, explainability and responsible use at the heart of what we do.
What You’ll Do:
- Shape and lead Data Product and Advanced Analytics initiatives that support our wider business strategy.
- Own the vision, objectives and roadmap for Advanced Analytics and MAPs.
- Turn complex business challenges into clear Data Product opportunities.
- Balance priorities across teams, focusing investment on the highest-value opportunities.
- Work closely with Data Science and Data Engineering teams to take products from discovery to production.
- Ensure analytical and predictive products are solving clearly defined business problems.
- Lead, coach and develop three Data Product team members.
- Communicate priorities, progress, value, dependencies and trade-offs clearly to stakeholders.
- Ensure appropriate standards around data governance, privacy, security, model evaluation, explainability and responsible AI.
- Stay close to emerging Data Product, advanced analytics and AI trends.
What We’re Looking For:
- Strong experience in Data Product or Product Management.
- Experience leading Data Products from discovery through delivery.
- A good understanding of advanced analytics, predictive modelling and AI-enabled products.
- Experience working across Data Science, Data Engineering and business teams.
- Strong commercial and analytical judgement.
- Strong communication and stakeholder management skills.
- A good understanding of data governance, privacy, risk and the responsible use of data and AI.
Rewards & Benefits:
- 27 days holiday (rising to 30) + bank holidays
- Bonus scheme
- Pension up to 6% employer contribution
- Enhanced shared parental leave (6 months paid for both parents)
- Work-from-anywhere scheme (2 weeks per year)
- Mental health platform access, financial coaching, and more
Interview Process:
- A call with one of our Talent Acquisition Team
- An interview with members of our Data leadership team
Our Commitment:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. We’re an inclusive, anti-racist and equal opportunity employer that values diversity.
If you’re passionate about our purpose of helping households save money and excited about what you could accomplish here, we’d love to hear from you.
Data Product Lead employer: MONY Group
At MONY Group, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that values creativity and collaboration. Located in London, our team enjoys generous benefits such as up to 27 holidays, a robust pension scheme, and opportunities for professional development through mentorship and access to extensive training resources. Join us to make a meaningful impact while growing your career in a supportive environment that champions diversity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Lead
✨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 MONY 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 Data Product Lead at MONY 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 MONY Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Lead at MONY 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 Data Product Lead
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 MONY 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 MONY 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 MONY 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 MONY 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.
