Data Architect - Life Science - Manager- Consulting

Data Architect – Life Science – Manager – Consulting – Location OPEN

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Technology – AI & Data •
Data Architect – Manager – Life Sciences Sector

EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambition to keep doing more.

EY is seeking a Data Architecture Manager with a strong understanding of data and technology within the Life Sciences (Clinical (R&D) and Commercial) sector, complemented by a solid track record of delivery. This individual will spearhead the design, development, and governance of our clients’ data architectures, ensuring scalable, effective, and secure data solutions that align with business objectives and support data imperatives.

You will have the opportunity to lead and develop your skill set to keep up with the ever‑growing demands of the modern data platform. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skill‑set and build your career.

As a Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non‑technical project teams in the development and implementation of cutting‑edge technology solutions and infrastructure.

• Design and build scalable solutions for life sciences clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Guide clients through the complex world of modern data science, analytics, and software engineering.
• Lead and mentor teams in technical development tasks to ensure data‑science solutions are properly engineered and maintained.
• Manage and deliver one or more processes, solutions, and projects, focusing on quality and effective risk management.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Advise stakeholders with deep expertise and recommend quality solutions.

• Collaborate with cross‑functional teams (Business Leads, Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies.
• Organize and lead workshops and design sessions with stakeholders.
• Design and build solutions on AWS, Databricks, Snowflake.
• Design conceptual, logical, and physical layers of a data solution.
• Conduct data design reviews to improve usability and efficiency.
• Design blueprints for data extraction and basic transformations.
• Participate in presentations and proposals for complex projects.
• Integrate applications with third‑party vendor SaaS applications.
• Implement best practices for data integration and platform modernization.
• Develop standardized practices for delivering new products using Big Data technologies.
• Interact with senior client technology leaders and deliver tailored solutions.
• Define and develop best practices around data management within Hadoop or cloud environments.
• Recommend design alternatives for data ingestion, processing, and provisioning layers.
• Experience in enterprise‑grade solution implementations.
• Experience with BI and data analytics databases.
• Convert business challenges to technical solutions considering security, performance, scalability.
• Knowledge of Big Data architecture patterns (Lambda, Kappa).
• Experience benchmarking enterprise applications.
• Experience in Data security (mobile, at rest).

• Bachelor’s degree and 10–15 years of full‑time working experience in Data Architecture/Engineering.
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