Who You Are:

You are a dynamic leader, looking to drive, define and realize Data and AI architecture on global enterprise level in support of the digital transformation with a focus on Research and Development (R&D) and Real-World Evidence (RWE). 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 adopting the enterprise (technology) standards for Data and AI platforms, representing Data and AI in R&D and RWE , exploring and/or recommending new or emerging technologies that enhance Data and AI capabilities, designing and developing solutions that will both support Data and AI products as well as address enterprise needs. You are well versed in bioinformatics and clinical data, are familiar with regulatory dependencies and the implications on architecture solutions. 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 Head of Data Architecture, providing architectural leadership and know-how across the entire Data and AI spectrum for R&D and RWE, 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 in R&D and RWE
• Possess practical knowledge of R&D and RWE processes and business decisions, familiar with therapeutical areas that drive unique data requirements and restrictions (bioinformatics, omics, proteins, bio imaging, clinical data, patient information)
• 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

Key Functional Requirements & Qualifications:

• Strategic thinker with the ability to act as a translator between data and analytics and R&D and RWE 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 5+ years of relevant working experience
• Strong background and experience with cloud technologies and services, preferably AWS
• Strong background and experience with data management technologies, preferably Snowflake, Informatica IICS, Informatica MDM
• Strong background and experience with AI/ML technologies, preferably Python, R, Databricks
• Solid understanding of Docker, Kubernetes, AKS/EKS/Openshift
• Solid understanding of CI/CD, DevOps, DataOps and MLOps
• Solid understanding of architectural frameworks and notations, such as TOGAF, C4
• Technical knowledge 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. Job Title: Data Architecture Manager Research and Development - Real World Evidence

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