Associate Director of Fragrance Development at dsm - firmenich creating innovative fragrances and leading product development. Collaborating with global teams to align fragrance strategy with market trends.
About the role
- Senior Director driving R&D Portfolio Data Strategy & Insights for Sanofi. Establishing data foundations, governance, and analytics across the organization for pharmaceutical innovations.
Responsibilities
- Provide strategic leadership for Data, AI and GenAI tied to R&D Project and Portfolio Management business objectives
- Lead the delivery of a portfolio of new and mature AI data products to generate transformational impact
- Continue to build and improve foundational data assets and related governance as standards for adoption across all R&D project and Portfolio Management applications
- Ensure quality, accuracy, and completeness of data within the project and portfolio business domain
- Act as the subject matter expert for data within their domain and provide domain and context-specific expertise on the data as needed for various projects and portfolio analytics initiatives
- Drive operational innovation through advanced analytics, machine learning models, computer vision, GenAI and Agentic AI applications to optimize project and portfolio decision-making
- Lead digital transformation initiatives that leverage data as a strategic asset
- Develop and execute a comprehensive enterprise data strategy aligned with Sanofi's business objectives and scientific mission
- Foster consistent use of data governance practices across the enterprise to ensure reliable portfolio insights.
Requirements
- Advanced degree (Ph.D., MBA, or equivalent) in life sciences, pharmaceutical sciences, Data Science, or a related field required.
- Minimum of 10 years of experience in portfolio data strategy, portfolio management and analytics, or a related field within the pharmaceutical or biotechnology industry
- Excellent leadership and communication skills, with the ability to influence stakeholders at all levels of the organization.
- Natural curiosity to stay abreast of the latest and greatest trends in AI
- Expert knowledge of data governance frameworks and methodologies
- Strong track record in metadata management and data cataloging initiatives
- Proven ability to lead and develop new capabilities and collaborate effectively across functions.
- Maturity and leadership skills to be able to interact at senior levels including influencing strategic decisions and working in a matrix environment
- Strong understanding of AI and machine learning principles, particularly regarding data requirements for AI applications.
- Fluent English, both written and verbal.
Benefits
- Health insurance
- Prevention and wellness programs
- At least 14 weeks’ gender-neutral parental leave
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