Associate Director, Content & Digital Experience Capabilities – Solution Architecture & Engineering

About the role

This is a hands-on technical role within the Commercialization BI&T organization, responsible for leading solution architecture, engineering, and supporting delivery for capabilities within the Marketing Technology platforms (specifically in the content & digital engagement channels space), as well as content/engagement channels performance that drives next best action.

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, setting the engineering standard for the team.
• Lead 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.
• Drive the north-star vision of automating end-to-end marketing workflows — 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.
• Own 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.
• 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.

Requirements

• Bachelor's or Master's degree in Computer Science or a related field with 10+ years of hands-on IT engineering and architecture experience, including 7+ years in a hands-on technical architect / lead engineer role for content, digital, and/or AI platforms.
• 5+ years of heavy backend engineering—building production-grade APIs, microservices, event-driven systems, and data pipelines using Python, Node.js, or Java.
• 4+ 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.

Qualifications

• Desired Experience includes digital marketing and commercialization domain experience—including MarTech ecosystems, Content platforms (Veeva, AEM), and Digital Channels (Web, Chatbots, Social/Podcasts, HOE, Third-party Media etc.).
• 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.
• Potential to develop into a recognized thought-leader for content, digital, and AI capabilities.

Skills

• Full-stack engineering skills (backend and DevOps)
• Hands-on experience with Python, Node.js, or Java
• Experience with AWS cloud infrastructure
• Knowledge of AI/ML and genAI technologies (Amazon Bedrock, SageMaker, LLM-based applications)
• Experience with ETL tools and integration platforms
• Enterprise application integration experience
• SDLC methodologies (Agile, Lean, Waterfall)
• Ability to communicate complex technical concepts to business stakeholders

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care
• Wellbeing Support Programs: BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP)
• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support
• Work-life Benefits: Paid Time Off, Summer Hours Flexibility, Leaves of Absence for Medical, Personal, Parental, Caregiver, Bereavement, and Military Needs, and an annual Global Shutdown between Christmas and New Years Day

Pay

$171,020 - $207,236

Schedule

US Exempt Employees: Flexible time off (unlimited, with manager approval), 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

Pennsylvania Exempt Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays