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Florent Hassen is a professional employed in Roche's Global Product Strategy Department, specializing in areas encompassing commercial effectiveness and customer engagement. Established in 1896 in Basel, Switzerland, Roche has evolved into one of the largest biotech companies globally. It stands as a prominent provider of in-vitro diagnostics and a leading supplier of transformative, innovative solutions spanning major disease areas. Renowned for introducing highly effective drugs, Roche holds a prominent position as a global leader in innovative cancer medications. The company's impact extends to places such as viral infections, central nervous system disorders, and inflammatory diseases.
In the role of a data science lead at Roche, Florent has dedicated the past four years to focusing on critical areas, including data strategy, data governance, marketing mix modeling, and customer engagement. Currently assuming the role of Global Product Owner for the Customer Engagement Suite, responsibilities encompass the supervision of a global analytics-driven application. This application holds a pivotal role in providing essential insights into customer engagement, behavioral segmentation, key opinion leaders, and the measurement of customer engagement.
With over 17 years of dedicated experience in the healthcare industry, Florent has cultivated expertise in customer engagement, data science, and emerging technologies. Beginning as a statistician at Kantar, the journey initiated with a deep dive into primary market research, establishing a solid foundation. In 2007, a significant transition to IMS Health (now IQVIA), a health information technology company, unfolded, involving nine years of contributing advanced analytics within the commercial effectiveness consulting team. This role involved leveraging coding skills to support business consultants.
In 2015, Florent's career trajectory took a strategic turn with a transition to management consulting at a company subsequently acquired by Accenture. Over the following four years, the focus shifted from a purely technical role to a more strategic one, delving into topics related to business strategy powered by data and new technologies. Drawing on extensive analytic experience, notable contributions included supporting the design of the Global Insights & Analytics organization for a top 10 pharmaceutical company and publishing a study for the French government on the impact of emerging technologies on health industry competitiveness.
This career journey is characterized by a dual growth path, involving data science programming in the early stages and evolving into strategic thinking during the management consulting period.
In 2007, as a junior statistician programmer at a business consulting firm, Florent found himself surrounded by colleagues with backgrounds in MBA or international business schools. Navigating this environment demanded a swift acquisition of the language prevalent in those circles and the ability to simplify and communicate data science and machine learning concepts. It posed a challenge, given the limited awareness of these fields during that period.
Additionally, the absence of opportunities to collaborate with fellow data scientists necessitated finding solutions independently, without the aid of common online resources like Stack Overflow or Generative AI, which are prevalent today. This situation compelled Florent to cultivate resourcefulness and creativity, leading to a profound understanding of the foundational principles of data science and machine learning.
Despite the challenges faced, the experience as a junior statistician programmer was enjoyable for Florent. Interactions with colleagues and clients proved to be valuable learning experiences, contributing significantly to the development of the skills and knowledge required for success in their careers. There exists a sense of gratitude for the opportunity to have worked in the field during a pivotal time in its development.
Florent highlights the essential qualities of ethical and innovative data science leadership. Leaders are urged to prioritize ethics, responsibility, and inclusivity in utilizing their skills for the betterment of society. Leaders are advised to take proactive measures for mitigation, recognizing potential biases in data and algorithms. Additionally, a commitment to privacy and data security is emphasized.
Beyond ethical considerations, effective communication and collaboration are underscored as vital attributes for data science leaders. The ability to convey technical concepts to diverse audiences and collaborate successfully towards shared objectives is deemed crucial.
In the pursuit of innovation, Florent encourages data science leaders to embrace creativity. A proactive approach to experimenting with novel ideas and technologies, coupled with a continuous exploration of inventive ways to leverage data for problem-solving, is advocated for making a positive impact on the world.
Florent asserts that the organization sets itself apart as a non-service delivery center, functioning as a business-side entity primarily dedicated to providing solutions for omnichannel transformation. The team plays an active role in the decision-making process for this transformation, engaging in collaborative efforts with digital stakeholders to co-construct pertinent solutions. After the enforcement of new business processes by leadership, the solutions advocated by the team receive an official endorsement as the designated means to facilitate and enable those processes.
Florent anticipates a rise in the regulation of data and artificial intelligence. From a data standpoint, the classification of health data as sensitive under the General Data Protection Regulation (GDPR) is noted. While this classification does not have a substantial impact on commercial operations, compliance remains a crucial factor in the development of analytics products.
There is a recognition that the pharmaceutical commercial model needs to evolve beyond its traditional focus on sales representatives, looking at the business landscape. While acknowledging the critical role played by representatives, Florent envisions the future of orchestrated customer engagement across all channels. It necessitates the dismantling of existing data silos and the creation of a more comprehensive view of the customer.
Florent advises individuals to commence their careers by developing technical skills and subsequently enhancing communication skills and business understanding. This sequential approach is seen as instrumental in cultivating a well-rounded profile for emerging data science leaders.
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