Global Head of M&S Data and Process Strategy

Job Title: Global Head of MnS Data and Process Strategy

Location:  Cambridge, MA, Morristown, NJ,

About the Job

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. 

We are seeking an experienced, visionary, and hands-on leader to drive our end-to-end M&S Data and Processes Strategy (DPS).

The Global DPS Head would be responsible for overseeing Data Management, Data Governance, and Data Quality by Design. This role is pivotal in driving data-enabled business transformation and realizing our ‘AI at Scale’ ambition. The ideal candidate will combine strategic leadership with deep technical expertise in modern data architecture, artificial intelligence, and data governance. They will also have a profound understanding of data management principles and the ability to drive data quality and data integrity initiatives.

The Global DPS Head is also responsible for overseeing the end-to-end process capabilities and process modernization, standardization and simplification. This role involves close collaboration with the Digital M&S and Smart & Digital Factory teams to identify and leverage the latest technology, with focus on AI-Gen/AI to enable transactional tasks automation, and ensure data integrity within the respective E2E processes. The Global DPS Head will monitor compliance with relevant regulations and policies, establish periodic self-auditing frameworks, and define appropriate internal control and risk frameworks to mitigate business risks.

This role requires a visionary leader who can also be a hands-on practitioner, guiding technical decisions and mentoring team members.

Main Responsibilities

Scope:

• End-to-end M&S Data: all core systems (e.g.: SAP, MES, LIMS, QMS, Kinaxis), new use-cases (e.g. Lighthouses), automation assets (e.g. Engineering Equipment), Data Analytics (e.g. PBI, Factory 4.0, DEC)

• Sanofi Operating Model ‘Plan to Manufacture’ Business Processes as well as supporting M&S Manufacturing and Production Systems and Processes

Data Strategy:

• Data Strategy: Develop and execute, in partnership with Digital M&S, an M&S Data Strategy (Master Data, Reference Data, Transactional Data) aligned with business objectives, enabling ‘AI-Ready’ Data posture.

• Data Governance: Implement the strategic vision for M&S Data Governance, securing Data Quality for Master, Reference and Transactional Data, across end-to-end Sanofi M&S Core Models and Digital Solutions, by design and at the point of entry.

• • Maintain robust Data Governance frameworks, including data quality, privacy, and security standards. Drive initiatives to improve data quality, consistency, and accuracy, including automated controls and AI-enabled data structuration.

  • Partnering with Digital M&S Data Foundation, Digital Programs Leads, Business Process Owners, and Business System Owners across M&S, lead the design and implementation of enterprise data architecture, flows, and consumption, ensuring scalability, security, integrity and compliance, and enabling AI-Ready Data Posture.

• Data Standards: Through Business Process Owners, define, maintain, and promote the M&S Data Standards to federate sites Key Users and Data Content Owners on one set of data and master data rules.

• Master Data Management: Oversee the Master Data Management (MDM) initiatives to ensure consistent, high-quality data across the enterprise.

• Data Lifecycle: Manage Data lifecycle processes, including data creation, modification, and deactivation. Comply with Sanofi AI RAISE principles.

• Compliance: Ensure compliance with data privacy regulations and industry standards.

• Culture: Drive data literacy and foster a data-driven culture throughout the organization.

Business Process Ownership:

• Process Standardization and modernization: Develop a global core model in line with Sanofi Operating Model standards, support its deployment partnering with Digital Factory, and monitor adherence. Drive modernization, simplification and standardization across functions and GBUs, including AI-enablement for all transactional tasks. Design Authority, ‘gate keeper ‘ and final approver for Standardized Business Process requirements, including Data and Master Data.

• Compliance Monitoring: Ensure adherence to relevant regulation