Product and Proposition Manager ML/AI
2 mesi fa
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 realize 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. 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
The Product and Proposition Manager is a visible role to span across the full spectrum of strategic and operational activities related to growing a portfolio of services in a evolving market. This challenging role is a great opportunity to manage all aspects of a product cycle, from a creative idea until the go-to-market. You will have the possibility to team up with a variety of different professionals, including Sales, Finance, Risk, Legal, Customer Solutions, Operations and Data Scientists, both in Italy, in Europe and globally. It is important to have a creative mindset, being to clients and colleagues and have to plan a roadmap according to a specific methodology, build viable business cases and monitor the product evolutions and scaling operations. It is a customer-facing role. You will continue the momentum already created in sales and service development and taking it to the next level by looking to grow current and new capabilities and to further improve of our end-to-end client engagement model. In particular, the focus will be AI propositions based on traditional and alternative data to produce scores and attributes to boost different Insights. You will manage the go-to-market process from the original idea until the launch or will support the scaling and the evolution of existing AI solutions.
The Data capabilities areas are related to:
- Scores and Attributes
- Analytics as a service this proposition includes Ascend Sandbox and Convex
Qualifications
Bachelor's degree in economics, data science, statistics and similar subjects
4-6 years' experience in product and business management / analytics consultancy in areas such as lending, FinTech, analytics services, credit management in financial institutions
Appreciated also experience with programming languages such as Python, SQL, R, WPS, SAS and with visualization tools such as Tableau, Power BI
Fluent English and Italian speaking and writing. Knowledge of the French language will be an advantage
Additional Information
Proud to be a Worlds Best Workplace 2024’
Our uniqueness is that we celebrate yours. Experian's culture and people are main differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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 a critical 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.
Experian Careers - Creating a better tomorrow together
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