Daiichi Sankyo, Inc.
Senior Analyst, Data Architect Modeler
Daiichi Sankyo, Inc., Little Ferry, New Jersey, us, 07643
Join a Legacy of Innovation 110 Years and Counting!
Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 120 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.
SummaryThe Data Architecture team will employ the candidate to establish fundamental data capabilities for R&D Excellence, Data Governance, and Master Data Management. They will be directly responsible for developing data and information models for the R&D domain of Daiichi Sankyo globally, and the Commercial domain for the US region. The candidate will also be responsible for constructing and maintaining Master Data Management and Data Governance capabilities to ensure that solutions meet pharmaceutical industry regulations and best practices.
ResponsibilitiesDevelop comprehensive data architecture diagrams that depict the data life cycle, data flow, data processes, and data integration in and across systems. Create and maintain accurate documentation of source-to-target mappings for data integration processes. Provide support for enterprise architecture initiatives by aligning data architecture with TOGAF principles.Collaborate with stakeholders to understand data requirements and translate them into logical and physical data models. Design and develop data models to support data management, data integration, and data analysis activities in the pharmaceutical RD domain.Ensure data models adhere to industry best practices, data governance standards, and regulatory requirements. Optimize data models for performance, scalability, and efficiency. Conduct data modeling training sessions for end-users and provide ongoing support and guidance.Ensure compliance with Data Governance policies by collaborating with relevant teams within the organization. Work with Data Governance bodies to apply/integrate policies and assist in the development of data migration, integration, and quality projects based on business needs. Provide guidance and support to the development team during implementation and participate in testing and quality assurance to ensure compliance with regulatory requirements such as GxP and CRF21 Part 11.Collaborate with domain experts in privacy, security, and compliance to ensure that the RD and Commercial data platforms uphold privacy, security, and compliance requirements. Serve as a liaison between the business and technical teams by planning, conducting, and capturing the analysis of complex, strategic privacy matters that require IT solutions.
Qualifications : Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.
Education
(from an accredited college or university)Bachelor's Degree in Computer Science or a related discipline from an accredited college or university.Master's Degree in Life Science or Engineering or Information Technology preferred.
Experience4-7 Years of experience in applications development and business analysis in life sciences, pharma, or informatics industry.4 or More Years of experience with large and complex data management projects.4 or More Years of experience with data and information modeling using tools such as ERWin, ER/Studio and/or iServer preferred.4 or More Years of experience with Data Integration Technologies preferred.Knowledge of Master Data Hub Architecture, data design, and implementation.Experience in supporting MDM strategies, with the ability to discuss requirements, priorities, and potential solutions.Strong in Unix shell/Perl scripting.Proven ability to work in a global and highly matrix environment.Experience with Amazon Web Services (S3, RDS, Red Shift etc.).Familiarity with and understanding of key industry best practices as well as legislative, regulatory and industry artifacts/frameworks.
TravelAbility to travel up to 10% to DSD, DSE, DST locations which will include overnight travel. Ability to travel to EU and Japan - sometimes at short notice.
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
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Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 120 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.
SummaryThe Data Architecture team will employ the candidate to establish fundamental data capabilities for R&D Excellence, Data Governance, and Master Data Management. They will be directly responsible for developing data and information models for the R&D domain of Daiichi Sankyo globally, and the Commercial domain for the US region. The candidate will also be responsible for constructing and maintaining Master Data Management and Data Governance capabilities to ensure that solutions meet pharmaceutical industry regulations and best practices.
ResponsibilitiesDevelop comprehensive data architecture diagrams that depict the data life cycle, data flow, data processes, and data integration in and across systems. Create and maintain accurate documentation of source-to-target mappings for data integration processes. Provide support for enterprise architecture initiatives by aligning data architecture with TOGAF principles.Collaborate with stakeholders to understand data requirements and translate them into logical and physical data models. Design and develop data models to support data management, data integration, and data analysis activities in the pharmaceutical RD domain.Ensure data models adhere to industry best practices, data governance standards, and regulatory requirements. Optimize data models for performance, scalability, and efficiency. Conduct data modeling training sessions for end-users and provide ongoing support and guidance.Ensure compliance with Data Governance policies by collaborating with relevant teams within the organization. Work with Data Governance bodies to apply/integrate policies and assist in the development of data migration, integration, and quality projects based on business needs. Provide guidance and support to the development team during implementation and participate in testing and quality assurance to ensure compliance with regulatory requirements such as GxP and CRF21 Part 11.Collaborate with domain experts in privacy, security, and compliance to ensure that the RD and Commercial data platforms uphold privacy, security, and compliance requirements. Serve as a liaison between the business and technical teams by planning, conducting, and capturing the analysis of complex, strategic privacy matters that require IT solutions.
Qualifications : Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.
Education
(from an accredited college or university)Bachelor's Degree in Computer Science or a related discipline from an accredited college or university.Master's Degree in Life Science or Engineering or Information Technology preferred.
Experience4-7 Years of experience in applications development and business analysis in life sciences, pharma, or informatics industry.4 or More Years of experience with large and complex data management projects.4 or More Years of experience with data and information modeling using tools such as ERWin, ER/Studio and/or iServer preferred.4 or More Years of experience with Data Integration Technologies preferred.Knowledge of Master Data Hub Architecture, data design, and implementation.Experience in supporting MDM strategies, with the ability to discuss requirements, priorities, and potential solutions.Strong in Unix shell/Perl scripting.Proven ability to work in a global and highly matrix environment.Experience with Amazon Web Services (S3, RDS, Red Shift etc.).Familiarity with and understanding of key industry best practices as well as legislative, regulatory and industry artifacts/frameworks.
TravelAbility to travel up to 10% to DSD, DSE, DST locations which will include overnight travel. Ability to travel to EU and Japan - sometimes at short notice.
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
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