Data Architect - Life Science - Manager- Consulting

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

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- Consulting - Location OPEN role at EY
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Location: Anywhere in Country.

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 skillset and build your career.

As a Manager in Data Architecture, you will lead transformative technology projects and programs aligned with our organizational strategy. You will manage timelines, costs, and quality, and lead both technical and non‑technical project teams in 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. You’ll provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained.

In this pivotal role, you will be responsible for 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.

• Collaborate with cross‑functional 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.
• Design blueprints for data extraction and basic transformations.
• Participate in presentations and proposals for highly complex projects.
• Application integration with third‑party vendor SaaS applications.
• Cloud computing architecture.
• Data architecture design and platform modernization.
• Implement data integration best practices.
• Develop standardized practices using Big Data technologies.
• Interact with senior client technology leaders.
• Define and develop client‑specific best practices 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 problems to technical solutions considering security, performance, scalability.
• Knowledge of Big Data architecture patterns (Lambda, Kappa).
• Performance benchmarking 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 in the life sciences domain.
• Flexible, proactive, self‑motivated working style.
• Excellent written and verbal communication.
• Ability to multitask under pressure and work independently.
• Strong verbal and written communication skills.
• Team player; enjoy collaborative environment.
• Adaptable to new technologies and standards.
• Participation in all aspects of AI and…