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 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 ambitions 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.

• Design and build scalable solutions for life sciences clients that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Lead the development and implementation of cutting-edge technology solutions and infrastructure, managing timelines, costs, and quality.
• Provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support ongoing business needs.
• Drive continuous process improvement, identify innovative solutions through research and best practices, and apply depth of expertise to guide others.
• Manage the effective delivery of one or more processes, solutions, and projects, focusing on quality and risk management.

• Collaborate with cross-functional teams (Business Leads, Data Scientists, Business Analysts, and 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, 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, strive for improved usability and efficiency.
• Design blueprints for data extraction and basic transformations.
• Participate in presentations and proposals for highly complex projects.
• Implement data integration best practices and develop standardized practices for delivering new products and capabilities using Big Data technologies.
• 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, BI, data analytics databases.
• Experience converting business problems/challenges to technical solutions considering security, performance, scalability.
• Knowledge in Big data architecture patterns (Lambda, Kappa) and performance bench marking enterprise applications.
• Experience in Data security (on the move, at rest).

• 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 the life sciences domains (Clinical (R&D) and Commercial), developing solutions for life sciences challenges.
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team…