Job Location: Cambridge, MA
Job Detail:
Data Architecture Manager Research and Development
Cambridge, MA
Fulltime
Job Highlights:
ยท Demonstrate solid experience in developing Data and AI architecture roadmaps, blueprints and designs for real world solutions in R&D and RWE
ยท Possess practical knowledge of R&D and RWE processes and business decisions, familiar with therapeutical areas that drive unique data requirements and restrictions (bioinformatics, omics, proteins, bio imaging, clinical data, patient information)
ยท Have solid experience in technical solution identification and realization through translation of requirements into workable, fit for purpose designs and approaches
ยท Provide hands-on support in delivering both data lake/warehouse (data mesh) and AI/ML solutions
ยท Apply architecture frameworks to shape solutions and understand dependencies of technologies in a vast and complex environment
ยท Bring strong relationship management skills in working with peers, colleagues, senior leadership and vendor communities
ยท Lead multidisciplinary teams, with and without external third-party partners/vendors, with direct supervisory and people management responsibilities
Key Functional Requirements & Qualifications:
ยท Strategic thinker with the ability to act as a translator between data and analytics and R&D and RWE business, ensuring business value is achieved through appropriate architecture foundation
ยท Demonstrated techno functional Data and AI capabilities (e.g. data engineering, data architecture, master data management, data lake/warehouse (data mesh), data visualization, artificial intelligence, machine learning, analytical modeling, federated learning, etc.)
ยท Exposure to therapeutical areas in a pharmaceutical and life sciences setting and understanding of the associated unique data and analytics requirements
ยท Ability to lead and manage agile teams
ยท Experience working cross-functionally in large organizations to solve complex problems and treat large amounts of information
ยท Relationship-oriented with the ability to communicate meaningfully and influence all levels of stakeholders
ยท Ability to deal with ambiguity and work in autonomy with limited guidelines
ยท Effective written communication, presentation, and interpersonal skills.
Key Technical Requirements & Qualifications:
ยท Bachelorโs/Masterโs in business, or STEM (science, technology, engineering, mathematics) preferred or equivalent, with 5+ years of relevant working experience
ยท Strong background and experience with cloud technologies and services, preferably AWS
ยท Strong background and experience with data management technologies, preferably Snowflake, Informatica IICS, Informatica MDM
ยท Strong background and experience with AI/ML technologies, preferably Python, R, Databricks
ยท Solid understanding of Docker, Kubernetes, AKS/EKS/Openshift
ยท Solid understanding of CI/CD, DevOps, DataOps and MLOps
ยท Solid understanding of architectural frameworks and notations, such as TOGAF, C4
ยท Technical knowledge of software application development and agile methodologies
ยท Understanding and application of data / digital strategy and governance
ยท Understanding of software development processes and procedures
ยท Understanding of change management and release processes
ยท Experience in using agile delivery tools such as Jira, Confluence, etc. preferred
Job Type: Full-time
Pay: $140,426.41 – $169,863.03 per year
Benefits:
- Dental insurance
- Flexible schedule
- Health insurance
- Paid time off
- Vision insurance
Schedule:
- 8 hour shift
Experience:
- Informatica IICS: 5 years (Required)
- Snowflake: 5 years (Required)
- Informatica MDM: 5 years (Required)
- AKS/EKS/Openshift: 4 years (Preferred)
- TOGAF: 5 years (Preferred)
Work Location: Hybrid remote in Cambridge, MA 02141
Submit CV To All Data Science Job Consultants Across United States For Free

Leave a Reply