Data Architect - Life Science - Manager- Consulting

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

Join to apply for the Data Architect - Life Science - Manager
- Consulting - Location OPEN role at EY.

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 build a better working world.

EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence.

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.

• 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 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.
• Effective management and delivery of one or more processes, solutions, and projects, with focus on quality and risk management. Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Guide others and 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 and align on data architecture strategies.
• Design and build solutions on AWS, Databricks, Snowflake.
• Design conceptual, logical, and physical layers of a data solution.
• Conduct data design reviews to improve usability and efficiency.
• Design blueprints for data extraction and basic transformations.
• Present complex projects and proposals.
• Applications integration with third‑party SaaS applications.
• Cloud computing and architecture.
• Data architecture design and platform modernization.
• Implement data integration best practices.
• Develop standardized practices for delivering new products using Big Data technologies.
• Interact with senior client leaders to understand business goals and deliver technology solutions.
• Define and develop best practices for data management in Hadoop or cloud environments.
• Recommend design alternatives for data ingestion, processing and provisioning layers.
• Enterprise‑grade solution implementations.
• Experience with BI and data analytics databases.
• Convert business problems into technical solutions considering security, performance, scalability.
• Knowledge in Big data architecture patterns (Lambda, Kappa).
• Experience in performance benchmarking and data security.

• Bachelor’s degree and 10‑15 years of full‑time working 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).
• Strong personal ownership, ability to multi‑task, excellent communication skills.
• Team player, adaptable to new technologies and standards.
• Participate in all aspects of AI and Data solution delivery lifecycle.

• Building and Managing Relationships, Client Trust and Value, Digital Fluency.
• Experience with cloud data platforms like Snowflake and Databricks.
• Leadership and mentoring teams.
• Passion for innovation and strategic…