Data Architect - Life Science - Manager- Consulting

Data Architect - Life Science - Manager
- Consulting

Location:

Anywhere in Country

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 lead transformative technology projects and programs that align with our organisational 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, ensuring data science solutions are properly engineered and maintained.
• 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 (Business Leads, Data Scientists, Business Analysts, IT teams) to define data requirements, design solutions, and implement data strategies that align with clients’ objectives.
• Organise and lead workshops and design sessions with stakeholders 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, 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 in application integration with third‑party vendor SaaS applications.
• Cloud computing and cloud architecture.
• Data architecture design and platform modernization.
• Implement data integration best practices.
• Develop standardised practices for delivering new products and capabilities using Big Data technologies.
• Interact with senior client technology leaders, understand business goals, 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.
• Translate business problems into technical solutions considering security, performance, scalability, etc.
• Knowledge of Big Data architecture patterns (Lambda, Kappa).
• Performance benchmarking of enterprise applications.
• Data security (on the move, at rest).

• Bachelor’s degree and 10‑15 years of full‑time experience in Data Architecture/Engineering.
• 2‑4 years of experience directly managing technical teams.
• At least 2 years working…