Data Architect - Life Science - Manager- Consulting

Data Architect – Life Science – Manager – Consulting

Location:

Anywhere in Country

EY is seeking a Data Architecture Manager in the Life Sciences sector. In this role you will design, develop, govern, and secure data architectures for clinical (R&D) and commercial clients, ensuring scalable and effective solutions that support business objectives.

• Design and build scalable data solutions that unify, enrich, and derive insights from diverse data sources across a broad technology landscape.
• Lead projects that align with EY’s strategy, managing timelines, costs, and quality while leading both technical and non‑technical teams.
• Conduct data architecture reviews, improve usability, and develop blueprints for data extraction and basic transformations.
• Organize workshops and design sessions with clients and cross‑functional stakeholders to capture requirements, understand use cases, and align on data strategy.
• Participate in presentations, proposals, and high‑complexity projects, communicating technical solutions to senior client leaders.

• Collaborate with cross‑functional teams (Business Leads, Data Scientists, Analysts, IT) to define requirements and implement data strategies.
• Experience with AWS, Databricks, Snowflake, and building data solutions on cloud platforms.
• Design conceptual, logical, and physical data models and perform data design reviews.
• Apply best practices for data integration, platform modernization, and data security (in‑transit and at‑rest).
• Implement standardized practices for delivering new data products using Big Data technologies.
• Mentor junior team members and support professional development.
• Strong verbal and written communication skills; able to explain complex technical concepts to non‑technical audiences.
• Flexible, proactive, and self‑motivated with strong problem‑resolution ownership.

• Bachelor’s degree and 10–15 years of full‑time experience in Data Architecture/Engineering.
• 2–4 years of direct technical team management experience.
• At least 2 years working in life‑sciences domains (clinical R&D and commercial).
• Experience with cloud data platforms such as Snowflake or Databricks.
• Understanding of big‑data architecture patterns (Lambda, Kappa) and performance benchmarking.
• Proficiency in BI, data analytics databases, and data security best practices.
• Adaptable to new technologies and standards; capable of working under pressure and independently.

• Experience building and managing relationships with clients, fostering trust and value.
• Digital fluency and strong communication with impact.
• Leadership and mentorship experience, encouraging inclusive environments.
• A passion for innovation and strategic application of emerging technologies.

Top performers who blend technical depth with business acumen, build strong client relationships, lead change, and demonstrate emotional agility and hybrid collaboration skills.

• Competitive compensation: base salary range $125,500–$230,200 (US); higher ranges for metro areas.
• Comprehensive benefits: medical, dental, pension, 401(k), PTO, and flexible vacation policy.
• Flexible working model: hybrid approach with 40–60% in‑person collaboration.
• Career development through learning, mentorship, and exposure to complex global projects.
• Inclusive, diverse culture focused on ethical standards and integrity.

We accept applications on an ongoing basis. For those living in California, additional information is available on our website. EY is committed to equal employment opportunity for all, providing reasonable accommodations for qualified individuals with disabilities.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Engineering and Information Technology