Senior Manager, Content & Digital Experience Capabilities – Solution Architecture & Engineering
$139,570–$169,126 year
HybridPrinceton, New Jersey, United States
Job Summary
Architect, build, and deliver solution architectures for content and digital platforms, including hands-on writing of production-grade backend code, APIs, and data pipelines. Serve as Technical Lead for the end-to-end Azure-to-AWS migration of the Marketing AI platform, designing target-state AWS architecture using Bedrock, SageMaker, and Lambda. Build and deploy agentic AI applications for content generation and audience segmentation with proper governance. Drive DevOps and cloud infrastructure by designing CI/CD pipelines, managing Infrastructure-as-Code, and enforcing best practices for automated testing and incident response. Lead full-stack and backend engineering, including microservices, event-driven architectures, and AI/ML pipelines, while implementing robust integration patterns connecting the Marketing AI platform with the broader ecosystem. Lead PoCs and pilots for agentic marketing use cases, scaling successful prototypes to production. Partner cross-functionally with CASA Leads, C-BI&T, Cloud Engineering, Cyber Security, and vendor partners to ensure successful delivery across all content, digital, and AI capabilities. Manage technical roadmaps, architecture documentation, and CLAD processes to ensure phased delivery with minimal business disruption.
Required Qualifications
- Bachelor's or Master's degree in Computer Science or a related field
- 8+ years of hands-on IT engineering and architecture experience
- 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 Qualifications
- 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
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.