Digital Science Operations, Insights & Data Products Expert

Job title:Digital Science Operations, Insights & Data Products Expert

• Location: Hyderaba
• Hiring Manager: Martin Montmerle

About the job

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Data & Analytics team as Digital Science Operations, Insights & Data Products Expert and you can help make it happen. Your job?

The newly founded and multi-skilled Data & Analytics team aims to deliver data across CHC globally. Located in five countries, the team is composed of several entities: Data Governance, Advanced Analytics, Data Modelling & Architecture, and Program & Operations. The Digital Science Operations, Insights & Data Products Expert will work within the Data Programs and Operations organization, implementing the strategic roadmap and executing Data & Analytics initiatives for Science functions. The role reports to the Science Data Platform Lead.

Scope:

• Research
• Development
• Design, Sustainability, and Packaging
• Real World Evidence
• Regulatory
• Medical

The main mandate of the Digital Science Operations, Insights & Data Products Expert is to deliver valuable, innovative, ready, and easy-to-deploy solutions and services to enable and promote Digital ambitions in the Science domain. The Product Expert’s ultimate accountability and responsibility is to deliver a workable product that delivers business value.

At Sanofi Consumer Healthcare, we build trusted and loved brands that connect with hundreds of millions of consumers worldwide. Our mission is to enable better self-care for individuals and communities, while also contributing to a healthier planet. We strive to act as a force for good by integrating sustainability along our business and employees’ mission and operate responsibly from both a social and environmental point of view. To achieve this, we need people who can shape the future of our business and help us on our journey to becoming the best fast-moving consumer healthcare company in and for the world.

Main responsibilities:

Indicate here the main job responsibilities with bullets points, avoiding Sanofi corporate jargon, acronyms, and gender-coded words (you can check if your language is neutral on this site)

Science Data Products, Platform, and insights (Analytics, Visualization):

Capturing Science need & business value

• Actively partner with Global Science stakeholders to understand their data needs and challenges and, in line with CHC Data & Analytics central standards, help them find solutions forward to drive improvement.

• Conduct customer research and business value assessment. Collaborate with key stakeholders to develop and deliver AI and Science data products aligned with business objectives.

• Implement product discovery approach that translates ideas into a prioritized backlog of advanced analytics data product use cases to maximize business outcomes and enhance existing capabilities.

• Participate in detailed assessment during acquisition of additional databases. Ensure databases can be integrated into the Science Data Platform (SciLake).

Development of data products

• Lead the development and upkeep of advanced AI/ML and analytics data products to advance Science objectives. Leading and guiding on-shore and off-shore engineers and data analysts to deliver solutions aligned with the Data product roadmap. Ensure delivery in time, cost, and quality.

• Ensure data products are compatible with the science data platform (SciLake). Ensure data sources are consolidated into SciLake with appropriate data governance, architecture, and analytics.

• Help establish AI/ML/Analytics strategies for the business area, in collaboration with specialized teams of data scientists (internal and external).

• Manage the entire lifecycle of AI and Science products, from concept to retirement, as a key decision-maker focused on delivering value to the business and its customers.

Governance & Operational excellence

• Lead the adoption of new tools and techniques for information storage, access, and analysis, incorporating cutting-edge approaches for SciLake, the Digital Health & Science platform, leveraging warehousing technology (Snowflake) and Amazon Web Services tech stack.

• Offer strategic guidance for evaluating and implementing information management, resource management, and analytics standards for excellence.

• Ensuring alignment of the product strategy with Digital Architecture guidelines, Data strategy, and data governance.

• Oversee the execution and maintenance reporting for data product portfolios and ensure reporting KPIs are fit for purpose and accessible in time for leadership decision-making (business value, resources, etc.)

• Enhance the global Advanced Science capability to support project teams for strategic and tactical investment decisions, including digital analytics, and product ROI evaluation.

About you 

Experience

• Proven (8+ years) experience in data analytics, digital strategy, and leading cross-functional teams (business, data, ML, etc.).
• Experience in a consultancy is strongly preferred.
• Strong understanding of consumer healthcare products, R&D processes, and regulatory requirements.
• Knowledge of data analytics tools, statistical software, and data visualization tools (Snowflake, AWS tech stack)
• Exceptional problem-solving and critical-thinking skills.
• Excellent communication and interpersonal skills.
• Ability to adapt to changing environments and navigate complex challenges.
• A commitment to maintaining the highest ethical and quality standards in research and development.
• Strong understanding of healthcare data & technology; cross-industry experience in pharmaceutical, consumer, or technology industry preferred.
• Strong background in quantitative/analytical skills: exploratory data analyses, computer science, statistics, modeling, mathematics, programming languages

Soft skills: 

• Strong communication, negotiation, and interpersonal skills

• Demonstrated conflict resolution & problem-solving skills in a global environment

• Strong appetite to learn and discover, entrepreneur mindset

• Adaptable and open to change

• Team player, service-oriented

• Analytical and synthetic, able to formalize solutions, good writing skills

• Strong oral and written communication skills

• With leadership attitude, autonomy and results driven

• Role model our 4 values: teamwork, integrity, respect, courage

Education: Bachelor's, Master's, or Ph.D. in a relevant field (e.g., Data Science, Life Sciences, Pharmaceutical Sciences, or related).