Global M&S Services, QA/QC Data & Analytics Business expert

Job title: QA/QC Data & Analytics Business Expert

• Location: Budapest
• Job type: permanent, full-time, hybrid

About the job

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Join our Global Manufacturing and Supply Services Team as QA/QC Data & Analytics Business Expert and you can help make it happen. Our mission is to deliver and support Global M&S teams in partnership with Business and Digital, and drive priority and transformative initiatives across the organisation. Your job? You’ll be responsible for the structure and maintenance of the global quality data referential and to advise on its appropriate and consistent usage across digital projects and processes.

Main responsibilities:

The main mission is to establish and maintain the quality data referential associated with respective processes and core digital solutions, to set the conditions for accurate data usage, data integrity and compliance. This is a key driver of efficiency and performance in QA, QC, Supply chain and Manufacturing digital programs.

The scope of responsibilities applies to quality data, associated with processes supported by existing or to be (projects) digital core solutions (master data, transactional data, meta data) across all Sanofi organization (all GBUS), towards business ambitions related to quality digital transformation towards performance (e.g., productivity, cycle time optimization) & compliance (e.g., data integrity, data accuracy, data availability).

Main interactions will be with the respective Business Process Owners, Quality Project Leads and Business System Owners, as well as digital teams (managing source data solutions as well as Data Foundation/data lake) to establish and maintain reliable & sustainable quality data models, which will facilitate the building, implementation & sustainable usage of the respective Core Solutions. This also requires appropriate link with the governance bodies around data across Sanofi (Manufacturing & Supply, R&D, Global Regulatory).

Ultimately, to support digitalization & transformation of Quality, you will contribute to Data Artificial Intelligence & Analytics related projects as Expert/SME on the quality data areas (data sourcing, data modelling, data structure, data ingestion) towards analytics (descriptive, predictive, prescriptive) In collaboration with Projects leads, source systems business owners & digital product owners as well as respective Business process owners.

1) Design and maintain the global Quality data referential.

Build and maintain the Global Quality data referential, based on a deep understanding of business processes, and co builds the data model associated with the digital solutions supported quality processes with the respective BPOs & digital experts

Analyse risks and anticipate the needs of processes and solutions changes on existing usage of the data referential

Liaise with the BPOs, Project leads, Digital Product owners as well as Functional solution experts to ensure the referential and data model is maintained in line with state-of-the-art processes, digital solutions, or regulation driven evolutions.

Liaise with the Sanofi Data Governance network to ensure that the Quality data referential is in line with both Sanofi and other global functions standards to guarantee overall consistency across Sanofi.

Liaise with the Digital data architects to ensure that the referential digital implementation will allow future interoperability across systems and allow develop analytics for quality or contributes to analytics cross functions.

2) Quality Data SME for digital project:

Support digital project teams using Quality data to best take advantage of the Global Quality Referential, liaising with relevant Quality or digital SMEs to ensure proper knowledge transfer.

Advise on existing and/or upcoming Global Quality referential and promotes best data usage practices & supports Quality teams’ data literacy upskilling

Act as Business Quality Representative for foundational Data Products to ensure compliance by design & risks & life cycle quality oversight  

3) Contribution to Artificial intelligence & Data Analytics Projects:

Act as Point of Contact for project teams in charge of data lake/data foun