Session: Dos and Don’ts of a successful product-led transformation
Many companies start digital transformation that nowadays if often connected with a product-led transformation. However it does fail more often than it succeeds. The reason behind is usually a misunderstanding of the principles of product-led culture and overall cultural shift that needs to happen as part of the digital transformation. After going through this culture change with Amazon International Business, Kiwi.com and now Stellantis, I would like to share some dos and don’ts of approaching a digital transformation. In my talk I will share a simple framework covering the processes you need to change, allies you need to have on your side, and principles of organization structure that helps you make the digital and product-led transformation a success.
Bio
Maria is a senior executive with 15 years of experience leading high-performing teams in product, technology, UX design, and data science /analytics. She has spent 8 years with Amazon where she served as a Head of Product/CPO for Amazon Regional Tools, Amazon Fashion and most recently Amazon International Expansions. She has built high performing multi-layered, multi-functional teams (50+) across locales comprising Product manager, engineers, designers, business developers and analysts. Her subsequent career moves include a stint as VP of Product with Kiwi.com, a digital travel company, and as of 2023 - SVP of Product for Stellantis, responsible for creating software-defined vehicles.
Maria built her career on a deep understanding of how technology and innovative products can transform the life of customers and enterprises. She is passionate about digital transformation, culture changes, people development, personal growth, diversity and inclusion. As an Amazon bar raiser, interviewed hundreds of candidates and helped set up better processes for hiring and growing PM talent.
Specialities: building high performing product teams, scaling up businesses, product management, strategy and vision, UX, Machine Learning, shopping experience, customer service automation, marketplace platforms.