Specialist, Master Data Quality & Performance 

Job title: Specialist, Master Data Quality & Performance 

• Hiring Manager: Head – M&S Services, Hyderabad Hub

• Location: Hyderabad

• % Remote working and % of travel expected: 10%

• Job type: Permanent

About the job 

Job purpose

• Secure master data (MD) quality and availability at the Sanofi target 

• Support master data quality improvement activities across all sites in the frame of M&S master data playbook 

• Identify any master data quality and availability issues and propose solutions and remediation (continuous improvement spirit) 

• Provide technical analysis on Masterdata and implementation of new scope 

Key accountabilities

MD operational responsibility

• Responsible for the operational task relative to DataLab environment 

• Bi-weekly update for enhancement, scope extension, and refresh of our Data product 

• Monthly calculation of Masterdata KPIs. Publication, historization and failures for correctives actions 

• Site-level data collection to define and set up parameters to ensure the correct scope of Masterdata 

• Preparing the execution of internal assessments / capability reviews by providing relevant data analysis and data situation report 

• Preparing MD deactivation analysis and executing deactivations operations according to relevant policies and instructions 

Continuous improvement responsibility

• Driving continuous improvement for Master DataLab efficiency by identifying and raising initiatives to respective team lead 

• Supporting Master DataLab evolutions, projects, and improvement initiatives 

• Providing input for documentation, training materials, and knowledge management 

• Follow the evolution of the M&S Masterdata Playbook to extend the scope of the M&S DataLab 

• Organize and animate regular meeting with BPO to review the Playbook evolution, define the technical specification and attributes implementation 

• Responsible for the visual solution of the DataLab (Dashboard, reports) and improvement of the end user experience 

Master data user support and monitoring

• Supporting MD community on site level by providing tools to support and monitor their Masterdata Quality 

• Contributing to the education of the MD community  

About you  

Preferred skills/expertise/experience:

Experience:

• Minimum 1 year in Master Data Management with knowledge of pharma industry (e.g., GxP) 

• Preferably, work experience / educational background in data analytics (covering supply chain mgmt. / logistics / pharma quality mgmt. / pharma manufacturing) 

Skills/expertise:

• Strong understanding of Master Data Management, data governance frameworks local processes, and site systems 

• Work experience with data analytics tools, data visualization (PowerBI and PowerApps), data sourcing (Snowflake, SP List, Power Automate), data processing (dbt) - Mandatory

• Work experience with SAP ERP (ECC 6.0, S/4H) / LIMS - Optional

• Mandatory English, preferably languages for key markets (French) 

Competency requirements:

• Being thorough and consistent 

• Be a good communicator and team player to resolve ad-hoc issues 

• Strong willingness to learn 

Sanofi values

• Stretch to go beyond the level we have operated at up until now 

• Act in the interest of our patients and customers  

• Take action instead of waiting to be told what to do  

• Put the interests of the organization ahead of my own or those of our team 

Pursue progress, discover extraordinary 

Better is out there. Better medications, better outcomes, better science. But 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. So, let’s be those people.  

At Sanofi, we provide equal opportunities to all regardless of race, colour, 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!