EY
Data Architect - Life Science - Manager- Consulting - Location OPEN
EY, Boston, Massachusetts, us, 02298
Data Architect - Life Science - Manager‑Consulting - Location OPEN
4 days ago. Be among the first 25 applicants. 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.
Technology – AI & Data Data Architect – Manager – Life Sciences Sector.
Opportunity EY is seeking a Data Architecture Manager with 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 have the opportunity to 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 one or more processes, solutions, and projects, focusing on quality and risk management; drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
Interpret internal and external issues to recommend quality solutions and guide others.
Skills And Attributes For Success
Collaborate with cross‑functional teams (Business Leads, Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement strategies.
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 transformations.
Participate in presentations and proposals for highly complex projects.
Apply technical skills in integration with third‑party SaaS applications.
Leverage cloud computing and architecture.
Implement data integration best practices and standardize practices for delivering new products and capabilities.
Interact with senior client technology leaders to create, architect, propose, develop, and deliver solutions.
Define and 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, and data analytics databases.
Translate business problems into technical solutions considering security, performance, scalability.
Knowledge of big data architecture patterns (Lambda, Kappa) and performance benchmarking.
Experience in data security (data in motion and at rest).
Qualifications
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 in life sciences domains (Clinical R&D and Commercial) developing solutions.
Flexible and proactive/self‑motivated working style with strong personal ownership.
Excellent communication skills (written and verbal formal and informal).
Ability to multi‑task under pressure and work independently with minimal supervision.
Team player who enjoys collaborative environment.
Adaptable to new technologies and standards.
Participate in all aspects of AI and Data solution delivery life cycle.
Preferred Experiences
Building and managing relationships, client trust, and commercial astuteness.
Communicating with impact and digital fluency.
Experience with cloud data platforms like Snowflake and Databricks.
Leadership and mentorship focused on professional development.
Passion for innovation and strategic application of emerging technologies.
Fostering an inclusive environment that values diverse perspectives.
What We Look For Top performers with a blend of technical expertise and business acumen, capable of building strong client relationships and leading teams through change. Emotional agility and hybrid collaboration skills.
What We Offer
Competitive compensation and benefits package. Base salary range for this job in all geographic locations in the US is $125,500 to $230,200. In New York City Metro Area, Washington State, and California (excluding Sacramento) it is $150,700 to $261,600. Additional benefits include medical and dental coverage, pension and 401(k) plans, and paid time off.
Flexible hybrid model with 40–60% in person time for most client‑serving roles.
Flexible vacation policy with custom vacation time, EY Paid Holidays, and other leaves to support well‑being.
Ready to Shape Your Future? Apply today. EY accepts applications on an ongoing basis. For those living in California, additional information is available.
EY focuses on high‑ethical standards and integrity, and expects all candidates to demonstrate these qualities.
EY | Building a better working world.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. For assistance, call 1-800-EY-HELP3.
#J-18808-Ljbffr
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.
Technology – AI & Data Data Architect – Manager – Life Sciences Sector.
Opportunity EY is seeking a Data Architecture Manager with 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 have the opportunity to 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 one or more processes, solutions, and projects, focusing on quality and risk management; drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
Interpret internal and external issues to recommend quality solutions and guide others.
Skills And Attributes For Success
Collaborate with cross‑functional teams (Business Leads, Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement strategies.
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 transformations.
Participate in presentations and proposals for highly complex projects.
Apply technical skills in integration with third‑party SaaS applications.
Leverage cloud computing and architecture.
Implement data integration best practices and standardize practices for delivering new products and capabilities.
Interact with senior client technology leaders to create, architect, propose, develop, and deliver solutions.
Define and 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, and data analytics databases.
Translate business problems into technical solutions considering security, performance, scalability.
Knowledge of big data architecture patterns (Lambda, Kappa) and performance benchmarking.
Experience in data security (data in motion and at rest).
Qualifications
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 in life sciences domains (Clinical R&D and Commercial) developing solutions.
Flexible and proactive/self‑motivated working style with strong personal ownership.
Excellent communication skills (written and verbal formal and informal).
Ability to multi‑task under pressure and work independently with minimal supervision.
Team player who enjoys collaborative environment.
Adaptable to new technologies and standards.
Participate in all aspects of AI and Data solution delivery life cycle.
Preferred Experiences
Building and managing relationships, client trust, and commercial astuteness.
Communicating with impact and digital fluency.
Experience with cloud data platforms like Snowflake and Databricks.
Leadership and mentorship focused on professional development.
Passion for innovation and strategic application of emerging technologies.
Fostering an inclusive environment that values diverse perspectives.
What We Look For Top performers with a blend of technical expertise and business acumen, capable of building strong client relationships and leading teams through change. Emotional agility and hybrid collaboration skills.
What We Offer
Competitive compensation and benefits package. Base salary range for this job in all geographic locations in the US is $125,500 to $230,200. In New York City Metro Area, Washington State, and California (excluding Sacramento) it is $150,700 to $261,600. Additional benefits include medical and dental coverage, pension and 401(k) plans, and paid time off.
Flexible hybrid model with 40–60% in person time for most client‑serving roles.
Flexible vacation policy with custom vacation time, EY Paid Holidays, and other leaves to support well‑being.
Ready to Shape Your Future? Apply today. EY accepts applications on an ongoing basis. For those living in California, additional information is available.
EY focuses on high‑ethical standards and integrity, and expects all candidates to demonstrate these qualities.
EY | Building a better working world.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. For assistance, call 1-800-EY-HELP3.
#J-18808-Ljbffr