Data Quality Analyst

About Sanofi:

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

Who You Are:

The Data Quality Analyst is responsible for the technical implementation and management of data governance and cataloging solutions in a cloud environment. This role involves configuring and maintaining these tools to ensure that data is well-governed, cataloged, and accessible in a secure and compliant manner.You take pride knowing your work enables innovation and helping Sanofi build better solutions.

About Sanofi:

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

Who You Are:

The Data Management Analyst of CDGC is responsible for the technical implementation and management of data governance and cataloging solutions in a cloud environment. This role involves configuring and maintaining these tools to ensure that data is well-governed, cataloged, and accessible in a secure and compliant manner.You take pride knowing your work enables innovation and helping Sanofi build better solutions.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

·AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

·Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

·World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets.

Job Highlights:

·Implement and configure cloud-based data governance and quality solutions to meet the specific needs of the organization, ensuring that data is correct and of good quality.

·Collaborate with on-shore team to understand the data quality strategy and requirement, and design the technical documentation along with technical implementation on data quality.

·Play a pivotal role in integrating and managing data from various sources using Informatica CDQ, CDP, CDI ensuring data is of good quality for analytical and reporting purposes.

·Provide technical guidance on CDQ tool’s best practices, technical capabilities, and troubleshooting issues.

·Ensure data security and compliance with relevant data protection regulations (e.g., GDPR, HIPAA) by implementing access controls, encryption, and auditing mechanisms.

·Collaborate with Program Management team to update project/program plan, report risks/issues, discuss mitigation strategy, program status

·Partner with Data Stewards across the organization to operationalize all aspects of Data Quality management, to support effective data decisions, escalations, and issue resolution.

·Create and maintain documentation on data processes, data models, and data flows for the organization.

·Define and assign data stewards responsible for data domains, data ownership, and data-related responsibilities.

·Provide training and support to end-users and data stewards to promote data governance best practices and awareness.

Key Functional Requirements & Qualifications:

·Bachelor’s degree in computer science, Information Technology, or a related field

· Must have hands on experience in AWS services like Lambda, S3, API Gateways, SQS

· Must have hands on experience in Snowflake Database

· Must have hands on experience in Python programming

·       Proven experience in data quality management, with a focus on Informatica Cloud Data Quality (CDQ), Cloud Data Profiling (CDP), Cloud Data Integration (CDI)

· Strong understanding of data governance principles, data quality, data integration, and data security

·Proficiency in data modeling.

·Excellent communication and teamwork skills to collaborate with cross-functional teams

· Knowledge of Data Observability concepts is a plus

·Certification in Informatica CDGC/CDQ or Informatica AXON/EDC/IDQ data governance tools is a plus

The fine print:

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request.

Thank you in advance for your interest.

Only those candidates selected for interviews will be contacted.