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: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture focused on accountability, simplicity, inclusion, and innovation.
- Why this job: Make a real difference by turning complex data into valuable products for customers.
- Qualifications: Experience in data product management and leadership skills.
The predicted salary is between 63000 - 77000 £ per year.
Location: London (Dean Street) or Manchester (Spinningfields) | Hybrid: 2 days in the office per week
Level: Lead
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 Money Super Market , Money Saving Expert 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.
But technology is only part of the story.
How we work matters too.
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.
It's how we create products our customers trust and a workplace where people can do their best work.
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.
You'll lead our Advanced Analytics product area, including MAPs, our strategic customer intelligence capability, while developing our Data Product team and helping shape how we use data, analytics and AI across the Group.
If you're excited by turning complex data opportunities into products that create genuine customer and commercial value, we'd love to hear from you .
About the Role
As our Data Product Lead, 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 bringing together Main Account Facts, Activities and Predictions.
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.
As AI and advanced analytics continue to evolve, you'll bring new thinking into the team, helping us identify where emerging capabilities can solve real problems and create practical value for our customers and business.
- 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 across some of the UK's most trusted consumer brands.
- Data with a purpose - We start with the problem we're trying to solve, not the technology, and focus on where data, analytics and AI can create measurable value.
- Real ownership - You'll have the opportunity to shape Data Product strategy, priorities and ways of working, with visibility across senior and executive stakeholders.
- Collaboration by design - You'll work across Data Science, Data Engineering, Product, CRM, Finance and Commercial 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.
- A culture built on Accountability, Simplicity, Inclusion and Innovation - We take ownership, value diverse perspectives, challenge ourselves to improve and focus on making the complex simple.
- What You’ll Do
- Shape and lead Data Product and Advanced Analytics initiatives that support our wider business strategy and create measurable customer and commercial value.
- Own the vision, objectives and roadmap for Advanced Analytics and MAPs, our strategic customer intelligence capability.
- Turn complex business challenges into clear Data Product opportunities, defining objectives, outcomes, KPIs and measures of success.
- Balance priorities across CRM, Finance, Data and other teams, focusing investment and capacity on the highest-value opportunities.
- Work closely with Data Science and Data Engineering teams to take products from discovery and proof of concept through to production, adoption, monitoring and iteration.
- Ensure analytical and predictive products are solving clearly defined business problems and their impact can be measured.
- Lead, coach and develop three Data Product team members, setting clear objectives and helping them grow their product skills and careers.
- Communicate priorities, progress, value, dependencies and trade-offs clearly to senior and executive stakeholders.
- Ensure appropriate standards around data governance, privacy, security, model evalua
Data Product Lead in London employer: MONY Group Financial
MONY Group Financial is an attractive employer due to its commitment to a creative and collaborative work culture. The company values diversity and encourages employees to make a meaningful impact on customers' lives. With opportunities for professional growth, MONY Group Financial fosters an environment where everyone feels they belong.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Lead in London
✨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 Financial!
✨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 Financial.
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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 MONY Group Financial.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Product Lead in London
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 Financial, 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 Financial. 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 Financial
✨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 Financial!
✨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.
