At a Glance
- Tasks: Lead innovative data and AI solutions in the payments ecosystem.
- Company: Join Vocalink, a leader in payment reporting and analytics.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities.
- Why this job: Make an impact with cutting-edge AI technology and drive real change.
- Qualifications: Experience in data product management and strong collaboration skills required.
The predicted salary is between 72000 - 88000 £ per year.
Within Vocalink, the Data & Insights function is responsible for the delivery of payment reporting and customised analytics to both internal stakeholders and external customers. The Data & Insights function is looking for a Data & AI Senior Product Specialist to deliver innovative data-led and AI driven solutions in a range of areas including:
- AI Enablement: Applying LLMs, GenAI, Agentic AI to solve customer problems in the payments ecosystem.
- Real-time trend monitoring and predictive analytics.
- Customer intelligence, behavioural segmentations and personalisation.
- Self-Service Business Intelligence.
- Early warning systems, alerts and automated anomaly detection across payment journeys.
The Data & AI Senior Product Specialist is responsible for identifying gaps and opportunities for new data and AI services, developing compelling product propositions, and leading end-to-end product delivery through internal and external partnerships. Success in this role requires applying product innovation frameworks, defining clear product roadmaps, and driving commercialization and business impact.
Key responsibilities include:
- Contributing to the Data & Insights strategy, driving value from ideation through to the launch, scaling, and commercialisation of data-driven products and services.
- Identifying high-value data and AI-led opportunities that address customer pain points and create new revenue-generating services across the UK payments ecosystem.
- Working closely with cross-functional teams, including Engineering, Data Science and Commercial, to deliver our data & insights product strategy, coordinate end-to-end product development using Agile methodologies and develop market/customer outreach documentation.
- Driving the development of new data solutions through the Mastercard’s Studio framework, defining target audiences, validating customer needs, quantifying market opportunities, and developing business cases and pricing strategies.
- Defining, prioritising, and delivering data product roadmaps using Agile methodologies.
- Presenting data & AI-led products to internal senior stakeholders and to customers, succinctly and clearly, translating complex technical concepts and data science models into clear customer benefits and business value.
- Acting as a subject matter expert and advocate for Data & AI internally and externally.
- Supporting go-to-market activities, including customer engagement, commercialisation plans, partnership opportunities, and distribution strategies.
- Driving product documentation, requirements gathering, delivery governance, and project management best practices.
Qualifications:
- Hands-on familiarity with scalable cloud-based data science platforms such as AWS, Databricks and Microsoft Azure.
- Proven experience building and commercialising data-driven, advanced analytics, AI, and ML products using multiple data sources, including payments, card transactions, macroeconomic, and syndicated data.
- Basic understanding of data ingestion APIs, data flows, analytics tech stack and data platform architecture.
- Experience in two or more of the following areas: forecasting and predictive analytics, self-service reporting, early warning systems, customer segmentation and scoring, credit risk insights, or personalisation.
- Strong track record of applying Agile product development methodologies.
- Highly collaborative, with experience working effectively across cross-functional teams and external partners.
- Strong understanding of AI and data science techniques, including statistical modelling, logistic regression, NLP, LLMs, Generative AI, and Agentic AI.
- Results-oriented, with a strong sense of ownership and the ability to deliver high-quality outcomes against demanding timelines.
- Customer-centric mindset with a proven ability to build trusted relationships and deliver business value.
- Experience in data & AI product management, data science, or a related field within Financial Services, FinTech, Insurance, or other regulated industries.
- Nice to have: programming skills in Python and SQL, with experience in processing and analysing large-scale datasets.
- Experience with Enterprise Business Intelligence platform e.g. PowerBI, Qlik Sense, Tableau or similar.
- Bachelor’s degree (Master’s or PhD preferred) in Data Science, Technology, Mathematics, Statistics, Business Administration or equivalent work experience.
Senior Product Owner (Data & AI) in London employer: Mastercard
As a Senior Site Reliability Engineer at Connex, you will be part of a dynamic team dedicated to maintaining the UK's national payment infrastructure, where innovation and collaboration are at the forefront of our work culture. We offer a supportive environment that prioritises continuous improvement and professional growth, alongside competitive benefits and a commitment to work-life balance. Join us in making a meaningful impact in the financial services sector while enjoying the unique advantages of working in a cutting-edge technology space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Owner (Data & AI) 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 Mastercard!
✨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 Senior Product Owner (Data & AI) at Mastercard.
✨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 Mastercard.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Product Owner (Data & AI) at Mastercard, 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 Senior Product Owner (Data & AI) 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 Mastercard, 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 Mastercard. 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 Mastercard
✨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 Mastercard!
✨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.
