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

The opportunity

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 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 Key Responsibilities

• 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 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.
• Manage and deliver processes, solutions, and projects with focus on quality and risk management; drive continuous improvement and recommend innovative solutions through research, analysis, and best practices.
• Guide others, interpret internal/external issues, and recommend quality solutions.

Skills and Attributes for Success

• Collaborate with cross‑functional teams (Business Leads, Data Scientists, Business Analysts, IT teams) to define data requirements, design solutions, and implement data strategies.
• Organize and lead workshops and design sessions with stakeholders to capture requirements, understand use cases, personas, and key business processes.
• Design and build solutions on AWS, Databricks, Snowflake; design conceptual, logical, and physical data layers.
• Conduct data design reviews, improve usability and efficiency.
• Design blueprints for data extraction and basic transformations.
• Participate in presentations and proposals for highly complex projects.
• Integrate third‑party vendor SaaS applications; apply cloud computing architecture best practices.
• Implement data integration best practices and develop standardized practices for delivering new products and capabilities using big data technologies.
• Interact with senior client technology leaders to understand business goals and deliver technology solutions.
• Develop client‑specific 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, BI, data analytics databases, and data security.
• Knowledge of big data architecture patterns (Lambda, Kappa) and performance benchmarking.

To qualify for the role you must have

• 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 life sciences domains (Clinical R&D and Commercial) and developing solutions for life sciences challenges.
• Flexible, proactive, self‑motivated working style with strong ownership of problem resolution.
• Excellent written and verbal communication skills.
• Ability to multi‑task under pressure and work independently with minimal…