EY
Data Architect - Life Science - Manager- Consulting - Location OPEN
EY, Cleveland, Ohio, us, 44101
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.
Technology – AI & Data Data Architect – Manager – Life Sciences Sector 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.
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 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 to support the ongoing business needs of our clients.
Ensure effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management.
Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
Apply depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.
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 data strategies that align with our clients’ objectives.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross‑functional partners, 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, physical layers of a data solution.
Conduct data design reviews, striving for improved usability and efficiency.
Design blueprints for data extraction and basic transformations.
Participate in presentations and proposals for highly complex projects.
Technical Skills: Applications Integration with third‑party vendor SaaS applications.
Cloud Computing and Cloud Computing Architecture.
Data Architecture Design and Platform Modernization.
Implement data integration best practices.
Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.
Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions.
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.
Experience with BI, and data analytics databases.
Experience in converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
Knowledge in Big data architecture patterns (Lambda, Kappa).
Experience in performance benchmarking enterprise applications.
Experience in Data security (on the move, at rest).
To qualify for the role you must have
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 player and enjoy working in a cooperative and collaborative team environment.
Adaptable to new technologies and standards.
Participate in all aspects of AI and Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
Ideally, you’ll also have
Building and managing relationships.
Client trust, value and commercial astuteness.
Communicating with impact and digital fluency.
Experience with cloud data platforms like Snowflake and Databricks.
Experience in leading and influencing teams, with a focus on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies to solve real‑world challenges.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
What We Look For We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills.
What We Offer You
Comprehensive compensation and benefits package. Base salary ranges are listed depending on geographic location. Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a range of paid time off options.
Flexible vacation policy and hybrid working model.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
For those living in California, please click here for additional information.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Professional Services
Equal Employment Opportunity 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, in accordance with applicable law.
Reasonable Accommodation EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
#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 to build a better working world.
Technology – AI & Data Data Architect – Manager – Life Sciences Sector 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.
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 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 to support the ongoing business needs of our clients.
Ensure effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management.
Drive continuous process improvement and identify innovative solutions through research, analysis, and best practices.
Apply depth of expertise to guide others and interpret internal/external issues to recommend quality solutions.
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 data strategies that align with our clients’ objectives.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross‑functional partners, 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, physical layers of a data solution.
Conduct data design reviews, striving for improved usability and efficiency.
Design blueprints for data extraction and basic transformations.
Participate in presentations and proposals for highly complex projects.
Technical Skills: Applications Integration with third‑party vendor SaaS applications.
Cloud Computing and Cloud Computing Architecture.
Data Architecture Design and Platform Modernization.
Implement data integration best practices.
Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.
Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions.
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.
Experience with BI, and data analytics databases.
Experience in converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
Knowledge in Big data architecture patterns (Lambda, Kappa).
Experience in performance benchmarking enterprise applications.
Experience in Data security (on the move, at rest).
To qualify for the role you must have
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 player and enjoy working in a cooperative and collaborative team environment.
Adaptable to new technologies and standards.
Participate in all aspects of AI and Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
Ideally, you’ll also have
Building and managing relationships.
Client trust, value and commercial astuteness.
Communicating with impact and digital fluency.
Experience with cloud data platforms like Snowflake and Databricks.
Experience in leading and influencing teams, with a focus on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies to solve real‑world challenges.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
What We Look For We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills.
What We Offer You
Comprehensive compensation and benefits package. Base salary ranges are listed depending on geographic location. Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a range of paid time off options.
Flexible vacation policy and hybrid working model.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
For those living in California, please click here for additional information.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Professional Services
Equal Employment Opportunity 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, in accordance with applicable law.
Reasonable Accommodation EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
#J-18808-Ljbffr