Senior Director of Data Mesh and AI Architecture
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Job Description
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:
You are a dynamic leader, looking to drive, define and realize Data Mesh and AI architecture on global enterprise level in support of the digital transformation. You ensure that vision meets execution, apply pragmatism to solutions and approaches, provide hands-on leadership, mentor and enhance capabilities of a team of data and solution architects. You are in charge of setting the enterprise (technology) standards for Data Mesh and AI platforms, representing Data Mesh and AI in Enterprise Architecture forums, exploring and/or recommending new or emerging technologies that enhance Data Mesh and AI capabilities, designing and developing solutions that will both support Data and AI products as well as address Sanofi enterprise needs. Your role includes setting architecture standards within your team, ensuring you re resourced to execute on the data team operating model and associated project portfolio and supporting delivery of quality work.
In your role, you will be reporting directly into the VP of Data Engineering, Architecture and Governance, providing architectural leadership and know-how across the entire Data Mesh and AI spectrum, from data engineering, data mesh, data lake/warehouse, master data management, data access and security, data privacy, data visualization to advanced analytics, unstructured data search and retrieval AI/ML engineering, federated learning, and feature stores. Your expertise extends into platforms and infrastructure automation (DevOps), cloud architecture, CI/CD practices and platform performance (compute and storage) as it pertains to the development of Data and AI products.
You will work closely with multiple transversal teams in Data (across foundational data platforms, business-facing AI products, and data portfolio management), Digital (infrastructure, cloud, security, Agile) and key business stakeholders. You will have direct people management responsibilities and accountabilities for a team of data and solution architects, with opportunities to shape your team at your discretion.
Job Highlights:
Demonstrate solid experience in developing Data and AI architecture roadmaps, blueprints and designs for real world solutions
Possess practical knowledge of Data and AI solutions in business processes and business decisions, preferably in a pharmaceutical and life sciences setting
Have solid experience in technical solution identification and realization through translation of requirements into workable, fit for purpose designs and approaches
Provide hands-on support in delivering both data lake/warehouse (data mesh) and AI/ML solutions
Apply architecture frameworks to shape solutions and understand dependencies of technologies in a vast and complex environment
Bring strong relationship management skills in working with peers, colleagues, senior leadership and vendor communities
Lead multidisciplinary teams, with and without external third-party partners/vendors, with direct supervisory and people management responsibilities
Requirements
Key Functional Requirements & Qualifications:
Strategic thinker with the ability to act as a translator between data and analytics and the business, ensuring business value is achieved through appropriate architecture foundation
Demonstrated techno functional Data and AI capabilities (e.g. data engineering, data architecture, master data management, data lake/warehouse (data mesh), data visualization, artificial intelligence, machine learning, analytical modeling, federated learning, etc.)
Exposure to therapeutical areas in a pharmaceutical and life sciences setting and understanding of the associated unique data and analytics requirements
Ability to lead and manage agile teams
Experience working cross-functionally in large organizations to solve complex problems and treat large amounts of information
Relationship-oriented with the ability to communicate meaningfully and influence all levels of stakeholders
Storyteller with the ability to translate complex technical jargon and concepts into something simple, accurate and understandable
Ability to deal with ambiguity and work in autonomy with limited guidelines
Effective written communication, presentation, and interpersonal skills.
Key Technical Requirements & Qualifications:
Bachelor s/Master s in business, or STEM (science, technology, engineering, mathematics) preferred or equivalent, with 8+ years of relevant working experience
Extensive knowledge and experience with cloud technologies and services, preferably AWS
Extensive knowledge and experience with data management technologies, preferably Snowflake, Informatica IICS, Informatica MDM
Extensive knowledge and experience with AI/ML technologies, preferably Python, R, Databricks
Working knowledge of Docker, Kubernetes, AKS/EKS/Openshift
Working knowledge of CI/CD, DevOps, DataOps and MLOps
Solid understanding of architectural frameworks and notations, such as TOGAF, C4
Solid understanding of software application development and agile methodologies
Understanding and application of data / digital strategy and governance
Understanding of software development processes and procedures
Understanding of change management and release processes
Experience in using agile delivery tools such as Jira, Confluence, etc. preferred
You should have experience with a few of the above, but we don t expect all of them. If you re missing some qualifications but believe your experience is transferable and you have a passion for the role, please do apply. At time of interview, we will look to optimize for fit based on ambitions, skillsets and experience.
Key Functional Requirements & Qualifications: Strategic thinker with the ability to act as a translator between data and analytics and the business, ensuring business value is achieved through appropriate architecture foundation Demonstrated techno functional Data and AI capabilities (e.g. data engineering, data architecture, master data management, data lake/warehouse (data mesh), data visualization, artificial intelligence, machine learning, analytical modeling, federated learning, etc.) Exposure to therapeutical areas in a pharmaceutical and life sciences setting and understanding of the associated unique data and analytics requirements Ability to lead and manage agile teams Experience working cross-functionally in large organizations to solve complex problems and treat large amounts of information Relationship-oriented with the ability to communicate meaningfully and influence all levels of stakeholders Storyteller with the ability to translate complex technical jargon and concepts into something simple, accurate and understandable Ability to deal with ambiguity and work in autonomy with limited guidelines Effective written communication, presentation, and interpersonal skills. Key Technical Requirements & Qualifications: Bachelor s/Master s in business, or STEM (science, technology, engineering, mathematics) preferred or equivalent, with 8+ years of relevant working experience Extensive knowledge and experience with cloud technologies and services, preferably AWS Extensive knowledge and experience with data management technologies, preferably Snowflake, Informatica IICS, Informatica MDM Extensive knowledge and experience with AI/ML technologies, preferably Python, R, Databricks Working knowledge of Docker, Kubernetes, AKS/EKS/Openshift Working knowledge of CI/CD, DevOps, DataOps and MLOps Solid understanding of architectural frameworks and notations, such as TOGAF, C4 Solid understanding of software application development and agile methodologies Understanding and application of data / digital strategy and governance Understanding of software development processes and procedures Understanding of change management and release processes Experience in using agile delivery tools such as Jira, Confluence, etc. preferred You should have experience with a few of the above, but we don t expect all of them. If you re missing some qualifications but believe your experience is transferable and you have a passion for the role, please do apply. At time of interview, we will look to optimize for fit based on ambitions, skillsets and experience.
Employment Type
Full Time
