Job
Description
About Bristol Myers Squibb: At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. Position Summary: The GPS Data & Analytics Sr. Manager role is accountable for designing, setting up and managing the AWS Infrastructure ensuring its reliability, scalability, and security. This role will work closely with development teams, analytics/AI engineers, and other stakeholders to maintain and optimize our cloud environment. Position Responsibilities Key Responsibilities: Manage and support AWS infrastructure, including EC2, S3, RDS, VPC, IAM, and other AWS services. Monitor and maintain the health, performance, and security of AWS resources. Automate routine tasks and processes to improve efficiency and reduce manual intervention. Troubleshoot and resolve issues related to AWS infrastructure, including network, storage, compute resources, vulnerabilities, and upgrades Collaborate with development teams to ensure seamless deployment and integration of applications and analytics assets such as data models, ML, and AI. Ensure compliance with security policies and best practices, including regular security assessments and audits. Optimize AWS resources for cost efficiency and performance. Provide technical support and guidance to internal teams and stakeholders. Document infrastructure configurations, processes, and procedures. The Cloud Engineer will be responsible for designing, building, and maintaining all the AWS Services and Cloud Formation templates required to support GPS use-case and business functions . Collaborate with data architects, data analysts and data scientists to understand their Infra needs and ensure that the data infrastructure supports their requirements Implement and maintain security protocols to protect sensitive data Stay up-to-date with emerging trends and technologies in cloud engineering and analytics Participate in the analysis, design, build, manage, and operate lifecycle of the enterprise data lake and analytics focused digital capabilities Define data operations support (example: Access management) and experience with the supporting tools Proficient in AWS infra, CFTs , IAM & other Native AWS Service (Like EC2, s3 bucket policies, RDS, Redshift, Lake-Formation, Glue Neptune, Lambda, ECS, Bedrock, DynamoDB, Secret manager). Proficient in Networking (VPC, DNS, Route53, Subnet, ELB, ELN, ALB) Familiarity and experience with AWS Sagemaker, AWS bedrock, AWS Neptune Proficient in GitHub/GitHub copilot implementation. Proficient in Python and Shell Scripting . Good to have Athena/Any Metadata platform (Like CDP-Impala), and familiarity with Domino/data-lake principles. Familiarity and experience with Cloud infrastructure management and work closely with the Cloud engineering team Participate in effort and cost estimations when required Partner with other data, platform, and cloud teams to identify opportunities for continuous improvements Architect and develop data solutions according to legal and company guidelines Assess system performance and recommend improvements Responsible for maintaining of data acquisition/operational focused capabilities including; Data Catalog; User Access Request/Tracking; Data Use Request Show more Show less
