Product and Proposition Manager ML/AI

2 mesi fa

Milano, Italia Experian Health A tempo pieno

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 an 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, be client-oriented, and have the ability to plan a roadmap according to a specific methodology, build viable business cases, and monitor product evolutions and scaling operations. This is a customer-facing role. You will continue the momentum already created in sales and service development and take it to the next level by looking to grow current and new capabilities and to further improve our end-to-end client engagement model. In particular, the focus will be on 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, or similar subjects.
4-6 years' experience in product and business management / analytics consultancy in areas such as lending, FinTech, analytics services, and credit management in financial institutions.
Appreciated experience with programming languages such as Python, SQL, R, WPS, SAS and with visualization tools such as Tableau, Power BI.
Fluent in English and Italian, both spoken and written. Knowledge of the French language will be an advantage.
Additional Information 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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