Data Architect - Life Science - Manager- Consulting

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

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At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

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.

Your teams will design and build scalable solutions for life sciences clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We’ll look to you to 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.

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. You will apply your depth of expertise to guide others and interpret internal/external issues to 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 that align with our clients’ objectives.
• Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross‑functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
• Design and build solutions on AWS, Databricks, Snowflake.
• Design conceptual, logical, 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:
  
  Applications Integration with third‑party vendor SaaS applications.
• Cloud Computing and Cloud Computing Architecture.
• Data Architecture Design and Platform Modernization.
• Implement data integration best practices.
• Develop 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 environment or cloud environment.
• Recommend design alternatives for data ingestion, processing and provisioning layers.
• Experience in enterprise‑grade solution implementations.
• Ex…