Data Architect - Life Science - Manager- Consulting

Data Architect - Life Science - Manager
- Consulting

Location:

Anywhere in Country

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Technology – AI & Data

Data Architect – Manager – Life Sciences Sector

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 skillset 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.
• Help our clients navigate the complex world of modern data science, analytics, and software engineering.
• Provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
• Manage and deliver one or more processes, solutions, and projects with a focus on quality and effective risk management.
• Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
• Apply depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.

• Collaborate with cross‑functional teams to define data requirements, design solutions, and implement data strategies that align with clients’ objectives.
• Organize and lead workshops and design sessions with stakeholders to capture requirements, understand use cases, personas, key business processes, and align on data architecture strategies and projects.
• Design and build solutions on AWS, Databricks, Snowflake.
• Design conceptual, logical, and physical layers of a data solution.
• Conduct data design reviews, striving for improved usability and efficiency.
• Design blueprints for data extraction and basic transformations.
• Participate in presentations and proposals for highly complex projects.
• Technical skills: integration with third‑party SaaS applications, cloud computing and architecture, data architecture design and platform modernization, implementing data integration best practices, developing standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions.
• Define and develop client‑specific best practices around data management within a Hadoop or cloud environment.
• Recommend design alternatives for data ingestion, processing and provisioning layers.
• Experience in enterprise‑grade solution implementations.
• Experience with BI and data analytics databases.
• Experience converting business problems into technical solutions considering security, performance, scalability, etc.
• Knowledge of Big Data architecture patterns (Lambda, Kappa).
• Experience in performance bench‑marking enterprise applications.
• Experience in data security (on‑the‑move,…