At a Glance
- Tasks: Lead product growth for innovative analytics solutions in a dynamic B2B environment.
- Company: Join Experian, a global leader in data and technology, making a real impact.
- Benefits: Enjoy hybrid working, competitive pay, bonuses, and comprehensive health benefits.
- Other info: Be part of a collaborative team driving innovation across multiple industries.
- Why this job: Shape the future of credit decisioning with cutting-edge AI and analytics.
- Qualifications: Proven product management experience in B2B SaaS and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data.
We are looking for a Senior Product Manager with experience gained from a B2B sector, to manage and accelerate the growth of our Ascend Analytics products for model lifecycle management. This will be from build to deployment to governance management, and the application in combination with data for credit risk analytics across multiple markets including consumer and commercial lending, fraud prevention and insurance. Reporting into our Product Director, you will define product innovation-focused model lifecycle management and building into product roadmaps, creating and supporting go-to market plans and marketing campaigns for specific products. You will also be involved in the discovery and validation stages. This is an exciting opportunity to join one of our core Product teams to drive the growth of our innovative cloud-based credit decisioning products.
Qualifications:
- Strong product management experience gained within a B2B and SaaS organisation
- Experience in credit reference data, behavioural data and fraud prevention data
- Experience using AI / ML within products
- Experience with model lifecycle management processes (build, deploy and governance management)
- Experience of the lenders JTBD in the risk and affordability decision flows for new and existing customers
- Awareness of relevant regulation and regulators (FCA / PRA, SS1/23, others)
- Successful background in creating go to market and commercialisation strategies
- Partnership and collaborative style with experience communicating complex technical concepts to a variety of audiences written verbal and presentation
- Engaging, informative, and to the point and experience in storytelling
Additional Information:
Benefits package includes: Hybrid working, great compensation package and discretionary bonus. Core benefits include pension, Bupa healthcare, sharesave scheme and more. 25 days annual leave.
Remote Senior Product Manager - Analytics SaaS, AI in Wolverhampton employer: Experian
Experian is an exceptional employer that champions innovation and employee growth within a dynamic work culture. With a strong focus on hybrid working, competitive compensation, and a comprehensive benefits package, including healthcare and a sharesave scheme, employees are empowered to thrive both personally and professionally. Joining Experian means being part of a global leader in data and technology, where your contributions directly impact meaningful solutions across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Product Manager - Analytics SaaS, AI in Wolverhampton
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Experian!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Experian would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Experian through your school's career services!
We think you need these skills to ace Remote Senior Product Manager - Analytics SaaS, AI in Wolverhampton
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Remote Senior Product Manager - Analytics SaaS, AI, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Remote Senior Product Manager - Analytics SaaS, AI position at Experian. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Experian
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
