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Senior Product Manager - Analytics
- Nottingham, England, United Kingdom
- Nottingham, England, United Kingdom
Über
Drive adoption and knowledge of Optimisation 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 track record in applying analytics to address practical problems Strong analytics background including model lifecycle and technical deployment. 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.
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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Sprachkenntnisse
- English
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