Data & AI Engineering Specialist

About the Role

The Data & AI Engineering Specialist is a hands-on technical role within Sanofi's Platform Engineering organization, responsible for designing, building, and maintaining AI-ready data pipelines and infrastructure that power breakthrough discoveries and improve patient outcomes. This specialist contributes to the implementation of Sanofi's AI-Ready Data framework, ensuring data is well-understood, trusted, secure, and accessible for enterprise-wide AI consumption. The role operates at the intersection of data engineering, data governance, and AI enablement in a global, regulated biopharma environment.

What You’ll Do

• Execute technical implementation of Sanofi's AI-Ready Data framework, ensuring data assets meet quality, trust, security, and accessibility standards for AI consumption

• Design and build end-to-end data pipelines supporting both structured and unstructured data for GenAI and next-generation AI applications

• Develop and maintain automated data preparation workflows using AI agent tooling, to enable enterprise-wide AI adoption

• Implement and maintain data governance processes, including metadata management and data cataloguing

• Maintain and curate metadata assets including data lineage, dictionaries, and catalogs; validate AI-generated metadata suggestions and manage metadata-as-code artifacts

• Implement compliance-as-code policies and automated access governance to ensure data security and compliance with GDPR, HIPAA, and other regulatory requirements; audit AI agent data access patterns

• Maintain documentation-as-code for data processes, models, and flows; validate auto-generated documentation to ensure audit-ready records in regulated environments

• Support stewardship workflows within governance platforms and collaborate with business stakeholders on data ownership

• Leverage automated observability tools and AI agents to monitor data catalog health; triage alerts and drive remediation across business units

• Collaborate with cross-functional teams globally to integrate data solutions with AI and data marketplace platforms

• Apply data quality engineering practices to identify, remediate, and prevent data quality issues in production environments

• Contribute to technical documentation, standards, and best practices for data engineering within the team

• Participate in code reviews, technical design discussions, and continuous improvement initiatives

Must Have:

• Bachelor's degree in Computer Science, Data Engineering, or a related technical field (Master's preferred)

• 5+ years of hands-on experience in data engineering, AI/ML data engineering, or a closely related technical role

• Experience working in pharmaceutical, life sciences, or other regulated industry environments preferred

• Demonstrated experience delivering data solutions at scale

• Familiarity with data protection regulations (GDPR, HIPAA) and compliance best practices

• Proficiency in data modeling, metadata management, data cataloging and data lineage practises; experience with schema-as-code and automated catalog management

• Proficiency in cloud data platforms, including one or more of the following: Snowflake, AWS, Microsoft Azure, Google Cloud Platform (GCP)

• Strong experience with data pipeline development using modern data engineering tools and frameworks (e.g., Apache Spark, dbt, Airflow, or equivalent)

• Proven experience in data management, with a focus on Informatica CDGC or similar data governance and compliance tools

• Proficiency in Python and/or SQL for data engineering and transformation tasks

• Hands-on experience in API/programmatic governance workflows

• Familiarity with data observability and monitoring tools and practices

• Understanding of data security, access control, and compliance requirements in regulated environments

• Strong analytical and problem-solving skills with attention to detail

• Effective communication skills, with the ability to explain technical concepts to non-technical stakeholders

• Ability to work collaboratively in global, cross-functional, and multicultural teams

• Continuous learning mindset with a passion for emerging data and AI technologies

Nice to Have

• Knowledge of pharmaceutical R&D, clinical trials, or manufacturing data domains

• Experience with Generative AI, Large Language Models (LLMs), and agentic AI systems

• Experience with AI/ML data preparation, feature engineering, and supporting production AI systems

• Familiarity with unstructured data processing, Natural Language Processing (NLP), and document AI technologies

• Understanding of responsible AI principles and AI governance frameworks

• Experience with real-time streaming and event-driven architectures (e.g., Apache Kafka, AWS Kinesis)

• Certification in Informatica CDGC, Collibra, or similar data governance platforms

• Relevant cloud or platform certifications (AWS, Azure, GCP, Snowflake, or equivalent)

• Exposure to enterprise AI data enablement platforms

Why Join Us

• Meaningful Impact: Your work directly accelerates life-saving drug discovery and improves patient outcomes worldwide

• Cutting-Edge Technology: Lead implementation of industry-leading AI and data platforms including DataOrion, Snowflake, and advanced GenAI systems

• Innovation Leadership: Shape the future of AI-driven biopharma as part of Sanofi's transformation into an AI-first organization

• Career Growth: Exceptional opportunities for professional development, working with renowned leaders and academics in machine learning and data engineering

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Physical Requirements

This position is primarily office-based in Hyderabad with the possibility of hybrid working arrangements in line with Sanofi's flexible work policy. The role requires the ability to work at a computer workstation for extended periods. Occasional participation in virtual meetings across global time zones may be required.

Equal Opportunity Statement

Sanofi is an equal opportunity employer committed to diversity, equity, and inclusion. We welcome applications from all qualified individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Sanofi provides reasonable accommodations for persons with disabilities during the recruitment process upon request. We believe that a diverse workforce drives innovation and helps us better serve patients around the world.

Why choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
• Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. 

PursueProgress. Discover Extraordinary.

Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue Progress. And let’s discover Extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!