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

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, Sage Maker, Lambda, Step Functions, ECS/EKS, API Gateway, DynamoDB, and Event Bridge.
• Build and deploy agentic AI applications — autonomous marketing agents for content generation, audience segmentation, campaign orchestration, and real‑time personalization — using frameworks such as Lang Chain, Lang Graph, 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 Dev Ops and cloud infrastructure — design and maintain CI/CD pipelines (Git Hub Actions, Code Pipeline, Jenkins), manage Infrastructure‑as‑Code (Terraform, CDK/Cloud Formation), 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/Document DB), data pipelines (AWS Glue, PySpark, Airflow), and AI/ML pipelines (Sage Maker, Bedrock); build frontend components (React.js, Type Script) 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 Mule Soft or web Methods.
• 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.

• 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 Dev Ops and AWS cloud infrastructure—CI/CD pipeline design, Infrastructure as Code (Terraform, CDK/Cloud Formation), container orchestration (ECS/EKS/Kubernetes), serverless architectures, and…