Senior Product Manager - Analytics

JobsCloseBy Editorial Insights

Experian is seeking a Senior Product Manager to lead Analytics optimization products in ESS, partnering with regional GTM teams in Nottingham, ENG to drive adoption, pre‑sales support and client implementations. You will own product management for Optimize and other global products, lead Proof of Concept projects, and shape roadmaps and PI processes while aligning with market needs. Expect to build business cases, size markets, quantify profitability, secure funding, and create global sales collateral and RFP responses. This role requires matrix‑team leadership across marketing, delivery and data science, strong analytics in financial services or tech, and familiarity with Agile and ML basics. Hybrid work and a competitive package await; tailor your application with concrete PoCs and measurable outcomes.

Company Description

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 invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We are looking for an experienced Senior Product Manager will help partner with key Experian regions. You will drive productisation and scaling of the products in the Analytics portfolio in ESS, with a focus on Optimisation solutions.

Reporting to the VP of Product Management, your responsibilities will include:

• Drive adoption and knowledge of Optimization solutions in ESS and the regions
  • Be a Subject Matter Expert in the field of constrained mathematical optimisation
  • Work with regional GTM teams on sales opportunities, including pre-sales support. Deliver support for client implementations and ongoing usage

• Product Management for Optimize and other high profile global products, including management of PI processes and roadmap
• Lead and coordinate Proof of Concept projects in Analytics
  • Understanding product and technical requirements and feasibility
  • Determining product-market fit for the local market
  • Collaborating with data science, infrastructure and technology teams
• Driving business cases for investing in new and existing analytics products
  • Work with regional teams on market sizing, revenue potential and profitability and Identify the resources and funding needed
  • Create written business cases to obtain senior leadership support
• Create global product and commercial materials
  • Produce sales collateral and pitch decks to support GTM activities
  • Contribute to RFP responses and client proposals
• Partner with regional teams to secure initial beta clients for products and then scale
  • Comfortable both as an individual contributor and a leader of a matrix team of marketing, technical and client delivery specialists in allocated region(s)
  • Identify suitable early adopter clients
  • Build strong cross-functional relationships across teams engaged in delivering AIS to clients

Qualifications

• Product management experience gained from Financial Services, Technology/Telecoms, or Management Consulting, with a with a track record in applying analytics to address practical problems
• Experience deploying and delivering mathematical optimisation solutions in credit risk, marketing and collections
• Experience driving product vision, design, roadmap and go-to-market discussions
• Experience working with commercial materials, client proposals and business cases
• Comfortable driving daily business, technical, and design direction
• Familiar with a range of Agile methodologies including Scrum and Kanban, and applications in a product and software development context.
• Familiarity with data science methodologies and techniques, particularly Machine Learning, is desirable

Additional Information

Benefits package includes:

• Hybrid working - 40% office based
• Great compensation package and discretionary bonus
• Core benefits include Pension, Bupa healthcare, Sharesave Scheme and more
• 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Grade: D/EB8

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