About us

At Sanofi, we chase the miracles of science to improve people’s lives. All our decisions are taken with our most important stakeholder in mind – the patients.

Having a rich history of innovation that dates back over 100 years, Sanofi more than ever stays true to its commitment to transform the practice of medicine by providing potentially life-changing treatments and the protection of life-saving vaccines to millions of people. This history includes the first treatments for many rare diseases and the establishment of standards of care in diabetes and cardiovascular disease. Sanofi’s commitment to public health has helped protect hundreds of millions of people from influenza every year for decades and pushed polio to the brink of eradication, while its scientific vision has led to breakthrough innovations in the treatment of inflammatory diseases.

~ 43.07Bn€ Net Sales FY23

~90 countries

~ 91K employees

~ 59 manufacturing sites

~ 20 R&D sites

About the role:

Overview: The Data Operation & Service Manager is responsible for ensuring the reliability, availability and stability of data foundation platforms and products, simultaneously adhere to the defined SLA to satisfy any on-demand requirements from end-users. This role demands a leader capable of fostering collaboration and driving operation excellence within the data foundation ecosystem.

Key Responsibilities

• Lead the recruitment, hiring, onboarding, and retention of a talented and collaborative operation and services team.

• Collaborate closely with the Data Engineering Team to understand the data platforms and products being delivered and to align on operational requirements and define service level agreement.

• Oversee the operation and services of all data foundation platforms and products ensuring their stability, availibility and performance.

• Develop, lead, and empower an efficient, effective ops & service team to manage and monitor the entire data foundation ecosystem, include the Tecent cloud infrastracture, big data architecture, routine data pipelines, as well as on-demand data services requests from end users.

• Foster effective teamwork and collaboration with all internal and external stakeholders, include associated upstream and downstream system owners, business users, as well as third-party technology partners.

• Provide technical support and guidance to data users by addressing data-related queries, troubleshooting issues, and ensuring a high level of service availability

• Drive operation excellence by establishing best practices of operation standards and processes, as well as by implementing innovative solutions to improve operation efficiency and quality.

• Provide technical leadership and guidance to the data operation and services team, acting as a point of escalation for complex technical challenges and issues.

·Embed the organization's core values and code of conduct within the team, ensuring adherence to the highest standards of ethics and compliance with relevant policies, processes, and regulations.

Qualifications

·Bachelor’s degree or above in Computer Science, Engineering, or a related field. A Master’s degree is preferred.

·Significant experience (typically 8+ years) in engineering and operation roles, with increasing levels of responsibility and complexity.

·Demonstrated experience (typically 4+ years) in leading, mentoring, or technically guiding other engineers or team members.

·Proven track record of successfully building, deploying and operating complex data platforms and data products, with deep knowledge of big data ecosystem and full-stack programming.

·Strong understanding of data operation and services principles, data security best practices, and Service Level Agreements (SLA) management.

·Strong problem-solving skills and root cause analytics thinking, with the ability to identify, resolve, and summarize operational issues quickly and precisely.

·Strong technical proficiency in cloud infrastructure (e.g., Tencent Cloud, Azure Cloud etc.), big data ecosystem (e.g., EMR, Kafka, StarRocks, Spark, Hive etc.), ETL development and monitoring, full-stack programming (e.g., Python, Node.js etc.). 

·Solid understanding of data governance principles, data security best practices, and data quality management.

·Demonstrated leadership or team management experience, with a track record of fostering collaboration and quality.

·Customer-centric and service-oriented mindset, with a focus on ensuring data availability and reliability for end-users, and a passion for driving data democratization.

·Excellent communication, interpersonal, and negotiation skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

·Experience in leverage AI or GenAI for innovative operation practices is preferred.

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!