Senior Manager Data Engineer, GPS Analytics and AI Enablement

New Brunswick - NJ, United States

Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients with serious diseases.

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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. 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.

The GPS Data Engineer for Analytics & AI Enablement (A&AIE) is responsible for leading projects from requirement gathering to deployment in the Enterprise Data Lake. This role involves managing stakeholders, including ITBP, Data Platform owners, and BI&T leads. Additional responsibilities include leading a technical team of developers in designing, building, and operating the GPS Enterprise Data Lake capabilities throughout the technology lifecycle, supporting the Global Product Development Data Enablement BIT organization. The role also includes proposing and implementing automation and improvement ideas to reduce costs and effort.

Position Responsibilities:

  • Solution architect to design and model new data enablement projects to enable analysts and scientists’ team to take out some insights from data.
  • Based on design and model lead the projects and perform end to end delivery
  • Lead requirement gathering discussions with business to understand the business challenges and design solution.
  • Technical point of contact for AWS services and helps/support technical team to resolve technical issues.
  • Perform code review for provide feedback and fix issues in the code.
  • Provide technical support to end users to resolve issues specific to AWS services ie Athena, and other AWS services.
  • Evaluate emerging technologies in data and analytics area, perform technical pilots if necessary and share read out with leadership team.
  • Own and maintain git repository for code base.
  • Lead implementation of GxP (validated) projects.
  • Technical SME to operate and develop data and analytics focused capabilities in support of the Product Development Data Enablement BIT Organization
  • Ability to setup data ingestion pipelines in GPS datalakes using AWS services ie glue studio, S3, Lambda
  • Hands-on experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD).
  • Hands on experience in Python, AWS services Redshift/S3/ RDS/Athena, Native AWS Services, Database design and familiarity with Domino/data lake principles
  • Come up with automation, innovation ideas and implement them in datalakes
  • Hands on modeling experience to build data models (Conceptual and Logical data models)
  • Strong analytical skills to troubleshoot and resolve data-related issue

Skill Requirement:

  • Minimum 7-8 years of experience with Information Technology and Information Management systems, designing, implementing, and/or supporting analytic platforms (data warehouse, data hub, ETL/transformations, and/or Business Intelligence) related activities satisfying complex information needs within the life sciences industry
  • Hands-on expertise in AWS technologies and Python
  • Experience with applying AI/ML technologies in data Engineering and analytics
  • Must have broad technology expertise, working knowledge of life sciences manufacturing business processes, with demonstrated command of key concepts, systems, and processes
  • Experience with Big Data, Master Data Management (MDM), Data Visualization, and/or Data Virtualization for both structured and/or unstructured data
  • Experience in working in geographically dispersed teams and virtual collaboration

Ideal Candidates Would Also Have:

  • Prior experience in global life sciences especially in the GPS functional area will be a plus
  • Priori experience in Cloud technologies – preferably AWS and related capabilities such as storage, compute, catalogue, data virtualization will be a huge plus
  • Prior experience working in jira
  • Experience working internationally with a globally dispersed team including diverse stakeholders i.e. offshore technical development team(s)
  • Strong communication and presentation skills

Education Requirement:

  • Minimum bachelor’s degree in computer science, Information Systems or equivalent

#Hybrid

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 a supportive culture, promoting global participation 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

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

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.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Athena AWS Big Data Business Intelligence CI/CD Computer Science Data management Data visualization Data warehouse DevOps Engineering ETL Excel Git Jira Lambda Machine Learning Pipelines Privacy Python Redshift Unstructured data

Perks/benefits: Career development Team events

Region: North America
Country: United States

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