Job Details
Manager, Data Integration, Research IT Data Engineering
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.
Manager, Data Integration, Research IT Data Engineering
The role of Manager, Data Integration, Research IT Data Engineering, is accountable for the analysis, design, development, support, and provisioning of data products and technologies used for data analytics by Research scientists. This position will ensure that scientific data from disparate sources is combined into meaningful and valuable datasets using APIs, ETLs, and data virtualization by extracting large volumes of data from source systems and loading it into enterprise data stores. This role will work in partnership with a broad range of partners in IT and in Research, including IT Business Partners, Product Teams, and software development teams to deliver innovative data capabilities while ensuring adherence to data architecture standards and best practices.
Key Responsibilities
Work as a member of the Analytics Data Integration team, dedicated to delivering high-quality data sets for use in analytics platforms, with full API and ETL lifecycle management, to support and accelerate the lifecycle of data to analytics
Contribute to the design, development, and support of Research Analytics Data Platforms using integration frameworks and patterns to enable the transformation of data leveraging modern data services, integration, transformation, and virtualization solutions
Contribute to the provision of knowledge on APIs and underlying logical and physical data models across core platforms
Contribute to the provision of data services and API reference capability blueprints across core analytics platforms
Work with interfacing parties for continuous improvement of APIs and drive for complexity reduction & simpler interfaces
Contribute to the enablement of scalable and efficient data integration across scientific domains at the insight level
Provide understanding of scientific data types, data ingestion and loading patterns, data transformation & transport options
Implement solutions with adherence to data models, data governance and/or data use policies
Perform analysis of Research data for analytics
Create and maintain documentation of the Analytics data integration solutions.
Qualifications & Experience
Minimum of a bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or equivalent experience. Alternatively, a degree in a life science discipline with deep computer science expertise
3+ years’ experience in designing, implementing, and/or supporting technical capabilities including information systems, digital solutions, information management, data pipelines, and reporting and analytics platforms in the pharmaceutical industry
Some experience in the development of scalable and high performing data models, databases, and data flow architectures for structured, semi-structured, and unstructured data in on-premises or cloud RDBMS, Non-SQL DBs, and cloud storage services like Amazon S3
Knowledge and experience with data-centric technologies like Data and Analytics Services, Data Lakes, ELT, ETLs
Knowledge and experience designing and developing data ingestion, integration, virtualization, and transformation platforms
Hands-on experience with data engineering tools and languages such as Data Mesh, Modak Nabu, AWS Database Services, Data Services and Web Services, Informatica, Glue, Spark, Python, Oracle PL/SQL, RESTful API, GraphQL API, Shell scripts, etc.
Exposure in source control and deploying in AWS infrastructure and CloudFormation
Knowledge and experience with R&D data types and data flows; data conversions, data migrations, data aggregation; exposure to Machine Learning/Data Science a plus
Knowledge or exposure in information Taxonomy and Ontology development and management, data catalog, data governance and data quality a plus
Exposure in using data analytics, visualization, and business intelligence platforms
Proven ability to work as a team player with strong collaboration skills
Why You Should Apply
Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion, and integrity bring out the highest potential of each of our colleagues.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or any part of the recruitment process direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.