Sanofi
Director-DataOperations
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“Director - Data Operations at Sanofi. Skills: Data Operations, Data Governance, Metadata Management, Data Quality. Define and execute roadmap. Establish cross-domain standards”
What You'll Achieve.
Enable high-quality, governed, AI-ready data; Deliver scalable, reusable data services; Impact data reliability; Impact regulatory compliance; Impact AI readiness; Influence standards, tooling, operating models; Improve coverage and efficiency; Maintain consistent master and reference data; Ensure clear definitions; Ensure lineage visibility; Support analytics and AI use cases; Ensure adherence to regulatory standards; Ensure consistent adoption of standards
Industry & Context.
Root cause analysis; Problem-solving
What They're Looking For.
Must Have
Data quality, Metadata management, Data governance, Reference data, MDM, Cross-system data integration, Shared data services, Modern data platforms, Data lineage, Metadata models, Data architecture principles, Data observability, Pipeline monitoring, AI/ML applications, Anomaly detection, Automation, Enrichment, Matrixed environment, Stakeholder management, Cross-functional alignment, Technical concepts to business impact, Large-scale commercial data environments, Operational data environments
Nice to Have
Life sciences / healthcare data familiarity, Rx data familiarity, Customer data familiarity, Payer data familiarity, Sales data familiarity
What You'll Do.
Define and execute roadmap
Establish cross-domain standards
Represent Data Operations
Own data quality framework
Drive adoption across domains
Lead root cause analysis
Advance automation and AI-enabled monitoring
Own enterprise reference data services
Ensure controlled change management
Partner with MDM teams
Lead data catalog and business glossary
Ensure data discoverability
Develop semantic layer
Establish monitoring for pipeline health
Define incident response models
Improve proactive detection
Identify and deploy AI/ML use cases
Drive requirements for AI-ready data products
Define data contracts
Establish and track KPIs
Drive delivery through cross-functional teams
Provide operational direction
Ensure consistent adoption
How You'll Work.
Team & Collaboration
Drive execution through domain teams; Work with platform teams; Work with shared/offshore resources; Drive delivery through cross-functional teams; Align stakeholders; Partner with domain leads; Partner with senior leadership
Full Job Description
**Our Team** The Go-to-Market Capabilities (GTMC) organization aims to centralize Go-to-Market excellence and operational tasks across GBUs, standardizing best-in-class capabilities with strengthened global support while establishing clear ways of working to optimize process excellence and efficiency. **Strategic Context** Leads the design and operation of enterprise data operations capabilities that enable high-quality, governed, and AI-ready data across all commercial data domains. Accountable for delivering scalable, reusable data services (data quality, metadata, reference data, observability) that are consumed across the CDM data mesh. Operates as a senior individual contributor with **broad cross-functional influence** , driving execution through domain teams, platform teams, and shared/offshore resources rather than direct people management. **Scope & Impact** * **Enterprise horizontal scope** across all commercial data domains (e.g., Customer, Product, Omnichannel, Business Performance, Business Dynamics) * Owns capabilities that underpin **all CDM data products** , not a single domain * Direct impact on **data reliability, regulatory compliance, and AI readiness** * Influences standards, tooling, and operating models across CDM and enterprise data programs (e.g., USDF / OneMesh) **Main Responsibilities** **1\. Data Operations Strategy & Execution** * Defines and executes a rolling **12–24 month roadmap** for data operations capabilities * Establishes **cross-domain standards** for data quality, metadata, reference data, and observability * Represents Data Operations in enterprise governance and methodology forums **2\. Enterprise Data Quality Management** * Owns the **data quality framework** (rules, scorecards, defect taxonomy, remediation workflows) * Drives consistent adoption across all domains * Leads **root cause analysis and resolution** for material data issues * Advances **automation and AI-enabled monitoring** to improve coverage and efficiency **
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