Job title: Manufacturing & Supply Chain Data Solution Architect

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?

We are seeking a skilled, hands-on Data Solution Architect to join our team. As a Data Solution Architect, you will lead the design and implementation of comprehensive solutions for managing manufacturing and supply chain data. Your proficiency in designing data solutions and knowledge of relevant technologies such as Snowflake, SQL and AWS will be key to your success in this role.

In this position, you will be responsible for designing and implementing cutting-edge data solutions that enhance operational efficiency, optimize supply chain processes, and drive data-driven decision-making within our organization. The role involves collaborating with cross-functional teams, understanding business requirements, and architecting scalable and robust data solutions tailored to the unique challenges of the manufacturing and supply chain domain.

Join our team of professionals and have a meaningful impact on the efficiency of our healthcare operations. Apply now to contribute to transforming the way we manage and utilize patient data.

What you will be doing:

• Key Responsibilities:

• Lead and oversee the design and implementation of all-encompassing solutions for data management in manufacturing and supply. Ensure alignment with architecture strategy and adhere to governance standards.

• Collaborate with business stakeholders, manufacturing experts, and supply chain professionals to understand data requirements and challenges.

• Translate high-level business and functional requirements into data models, metadata and data dictionaries.

• Work closely with data engineers to implement and deploy data pipelines and data integration solutions using Snowflake, Informatica, AWS S3, Python and related technologies.

• Conduct hands-on Proof of Concepts (PoCs) to swiftly verify the feasibility of data solutions and present PoC outcomes to technology and business stakeholders.

• Drive teams of specialized professionals in large-scale programs to successfully deliver projects focused on manufacturing process optimization and quality improvement.

• Streamline and simplify existing data architecture, delivering reusable services and identifying cost-saving opportunities.

• Collaborate with cross-functional teams to ensure complete and operable solutions that align with business processes.

• Optimize data processes to improve efficiency, reduce latency, and enhance overall system performance.

• Provide clear and detailed leadership for manufacturing and supply data architecture within projects.

• Evaluate product usefulness and cost in the supplier selection process.

• Create and maintain current and target-state data architecture roadmaps aligned with business needs.

• Responsible for establishing the strategic direction, choosing technologies, settings standards, and data governance processes for manufacturing and supply services data.

• Evaluate and recommend emerging technologies for data management and analytics.

• Take on the responsibility of safeguarding the integrity and confidentiality of Good Manufacturing Practice (GMP) and Sarbanes-Oxley (SoX) data, ensuring strict adherence to security protocols.

• Stay current with industry trends, best practices, and emerging technologies in Snowflake, data integrations, data management, and related fields.

Main responsibilities

• Job-Specific Skills & Competencies:

• Application Design & Integration - Advanced

• DevOps - Intermediate

• Architecture - Advanced

• Compliance of computerized systems - Advanced

• Lean & Agile practices - Intermediate

• Transversal Skills & Competencies (Soft & Behavioral Skills):

• Business Acumen - Advanced

• Problem Solving - Advanced

• Decision Making- Intermediate

• Critical Thinking - Advanced

• Transversal collaboration - Intermediate

About you :

• Key Qualifications:

• Minimum of 8 years of experience in Data Architecture, specializing in relevant technologies such as Snowflake and public cloud services such as AWS and Azure.

• Extensive background in designing, developing, and optimizing data solutions, including data pipelines, architectures, and data sets.

• Excellent written and oral communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.

• Experience working with SQL, Relational / NoSQL databases, data query optimization and data warehousing technologies.

• Experience in data governance practices and policies to manage sensitive data effectively.

• Experience in encryption, data masking and data anonymization techniques.

• Proven ability to translate functional requirements into technical/solution design, ensuring alignment with business goals and objectives.

• Experience providing consumer or patient-facing technologies, understanding the unique challenges and requirements of delivering solutions in this space.

• Experience with GxP, HIPAA, and GDPR regulations and the ability to ensure compliance with these regulations in the design and implementation of patient data solutions.

• Strong experience with agile-based development methodologies, with direct experience as a Solution Architect preferred.

• Detail-oriented, customer-driven, and able to work well across time zones on a global team.

• Ability to work collaboratively as a team player, fostering a positive and productive work environment.

• Demonstrated professional and reliable behavior, consistently delivering high-quality work and meeting deadlines.

• Working knowledge of scripting languages (Python, SQL, CLI)

• Bachelor's degree in a relevant field.

• Nice to haves:

• Understanding of the life sciences/pharma industry and its specific data architecture requirements.

• Experience with data analytics and visualization platforms like Microsoft PowerBI / Tableau.

• Experience in seamlessly integrating data from SAP systems, ensuring connectivity and interoperability within the organizational framework.

• Experience in integrating data from Internet of Things (IoT) devices.

• Familiarity with pharma industry systems, such as LIMS and MES.

• Familiarity with AI/ML capabilities.

• Familiarity with Source Code Management Tools such as GitHub and Terraform.

Why choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

• Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.

Pursue Progress. Discover Extraordinary.

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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.

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