Senior Manager, Content & Digital Experience Capabilities – Solution Architecture & Engineering

Bristol Myers Squibb EU Policy; Princeton (NJ); On-site; USD 140,000 - 169,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Support

Job summary

Bristol Myers Squibb in Princeton, NJ is seeking a senior technical architect/lead engineer to design and implement content, digital, and AI platforms. You will drive Azure-to-AWS migrations, build agentic AI applications, and lead end-to-end cloud, DevOps, and security practices to enable scalable, compliant marketing tech.

The role combines backend and cloud engineering with front-end touchpoints (React) and governance across API, data, and AI pipelines, reporting to the Marketing AI &

Qualifications

• 8+ years IT engineering and architecture experience.
• 6+ years as technical architect/lead engineer for content/digital/AI platforms.
• 4-5 years backend APIs, microservices, data pipelines.
• 4-5 years DevOps and AWS cloud infra; cloud migration experience.
• Strong full-stack proficiency including React.js/TypeScript.
• Experience with AI/ML platforms and governance frameworks.

Responsibilities

• Architect and deliver architectures for content & digital platforms; write production-grade backend code and APIs.
• Lead Azure-to-AWS migration for Marketing AI platform; design target-state AWS architecture.
• Build agentic AI applications with governance and responsible AI practices.
• Drive DevOps, CI/CD, IaC, and container orchestration across environments.
• Ensure platform security, cost governance, and compliance; monitor resources and auto-scale.

Skills

Cloud architecture

AWS

Python

Node.js

Java

DevOps

CI/CD

Infrastructure as Code

Data pipelines

React.js

GitHub Actions

Terraform

CDK/CloudFormation

Jenkins

API development

Education

Bachelor's or Master's in CS

Tools

Bedrock

SageMaker

Lambda

Step Functions

ECS/EKS

API Gateway

DynamoDB

DocumentDB

LangChain

LangGraph

CrewAI

MuleSoft

webMethods

Terraform

CDK/CloudFormation

GitHub Actions

CodePipeline

Jenkins

React.js

Job description

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.

Key Responsibilities

• Architect, build, and deliver solution architectures for content & digital platforms and the Marketing AI platform — hands-on writing production-grade backend code (Python, Node.js), APIs (REST/GraphQL), data pipelines, and infrastructure-as-code.
• Serve as Technical Lead for the end-to-end Azure-to-AWS migration of the Marketing AI platform — including service mapping, data migration, workload re-platforming, and cutover — and design the target-state AWS architecture using Bedrock, SageMaker, Lambda, Step Functions, ECS/EKS, API Gateway, DynamoDB, and EventBridge.
• Build and deploy agentic AI applications — autonomous marketing agents for content generation, audience segmentation, campaign orchestration, and real-time personalization — using frameworks such as LangChain, LangGraph, CrewAI, or custom orchestration, with proper governance including human-in-the-loop checkpoints and responsible AI practices.
• Support the north-star vision of automating end-to-end marketing workflows working with the Marketing AI & Innovation Engineering Lead — from insight generation and content creation through approval, distribution, channel activation, and performance measurement — to increase speed-to-market and enable personalized marketing at scale.
• Drive DevOps and cloud infrastructure — design and maintain CI/CD pipelines (GitHub Actions, CodePipeline, Jenkins), manage Infrastructure-as-Code (Terraform, CDK/CloudFormation), container orchestration (ECS/EKS/Kubernetes), serverless deployments, environment strategy (dev/staging/prod), and enforce best practices for automated testing, blue/green deployments, monitoring, logging, and incident response.
• Ensure platform security, compliance, and cost optimization — hands-on with IAM, secrets management, VPC/network security, encryption, and data privacy controls; monitor resource utilization, implement auto-scaling, right-size compute, and establish cost governance.
• Lead full-stack and backend engineering — design and build microservices, event-driven architectures, database solutions (PostgreSQL/RDS, DynamoDB/DocumentDB), data pipelines (AWS Glue, PySpark, Airflow), and AI/ML pipelines (SageMaker, Bedrock); build frontend components (React.js, TypeScript) as needed.
• Implement robust integration patterns connecting the Marketing AI platform and content/digital platforms with the broader ecosystem (Veeva, AEM, DAM, CRM, CDP, analytics tools) via APIs, event streams, and middleware such as MuleSoft or webMethods.
• Lead PoCs and pilots—from ideation to working prototype for agentic marketing use cases (e.g., AI-driven personalization, automated MLR pre-checks, intelligent content repurposing), and scale successful pilots to production.
• Lead by example — actively contributing code, conducting architecture reviews, pair-programming, and providing hands‑on technical mentorship to elevate team engineering quality and maintain alignment with architectural standards and best practices.
• Manage technical roadmaps, architecture documentation, and CLAD processes — ensure phased delivery with minimal business disruption, clear rollback strategies, and measurable success criteria; drive continuous improvement for productivity, cost savings, and engineering velocity.
• Partner cross-functionally with CASA Leads, C-BI&T, Cloud Engineering, Cyber Security, Data & Enterprise Architecture, vendor partners, and agency teams to ensure successful delivery across all content, digital, and AI capabilities.

Required Qualifications & Experience

• Bachelor's or Master's degree in Computer Science or a related field with 8+ years of hands‑on IT engineering and architecture experience, including 6+ years in a hands‑on technical architect / lead engineer role for content, digital, and/or AI platforms.
• 4-5 years of heavy backend engineering—building production-grade APIs, microservices, event-driven systems, and data pipelines using Python, Node.js, or Java.
• 4-5 years of hands‑on DevOps and AWS cloud infrastructure—CI/CD pipeline design, Infrastructure as Code (Terraform, CDK/CloudFormation), container orchestration (ECS/EKS/Kubernetes), serverless architectures, and environment management—with demonstrated experience in cloud migration (Azure-to-AWS preferred) and/or AI/ML platform development.
• Strong full-stack capabilities—backend and DevOps as core strengths, with working proficiency in frontend (React.js, JavaScript/TypeScript) and hands‑on experience with both relational (PostgreSQL, RDS) and NoSQL databases (DynamoDB, DocumentDB).
• Experience with AI/ML and GenAI - Amazon Bedrock, SageMaker, LLM-based application development, prompt engineering, RAG, and agentic AI frameworks (LangChain, LangGraph, CrewAI, or similar).
• Strong understanding of IT governance processes including data architecture, data privacy, cyber security reviews, risk assessments, Git-based workflows, and modern software engineering standards.
• Excellent communication and stakeholder management skills—ability to distill complex technical concepts into simple business language, present confidently to senior leaders, and work cooperatively across boundaries within a matrix organization.
• Familiarity with the Pharmaceutical Industry.

Desired Experience

• Digital marketing and commercialization domain experience—including MarTech ecosystems.
• AI/ML for marketing use cases—content personalization, audience segmentation, campaign optimization, and understanding of agentic AI architectures including multi-agent orchestration, tool-use patterns, and human-in-the-loop design.
• Experience with ETL tools (AWS Glue, Informatica) and integration platforms (MuleSoft, webMethods).
• Enterprise application integration experience - designing large-scale system-to-system integrations across CRM, ERP, CDP, CMS, MLR & DAM, using middleware, API gateways, event-driven architectures, and message brokers (Kafka, SQS/SNS), including enterprise integration patterns (EIP), iPaaS solutions, and integration architecture governance (API standards, versioning, SLA management, observability).
• Expertise in SDLC methodologies (Agile, Lean, Waterfall) and ability to manage business process analysis, cost-benefit estimation, and post-implementation KPI delivery.
• Ability to scan the technical landscape for leading-edge solutions, create business cases for new investments, and potential to develop into a recognized thought-leader for content, digital, and AI capabilities.

Other Experience

• Working knowledge of agile software development lifecycle methodologies.
• Demonstrated ability to support a dynamic culture of innovation and continuous improvement.
• Potential to develop into an internally/externally recognized thought-leader for content & digital capabilities.

Compensation Overview

Princeton - NJ - US: $139,570 - $169,126

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefits

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (E