Enterprise AI & Data Platform Architect

Pitney Bowes; Shelton (CT); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Pitney Bowes is seeking a senior technical leader to set the direction for the organization’s AI and data architecture. You will build scalable, secure, and governed foundations for analytics, ML, and generative AI, and lead architecture governance across data platforms and AI-enabled applications.

You will drive enterprise AI strategy, align initiatives with business goals, define data models and lineage, and mentor a high-performing team of architects and engineers in a hybrid Shelton, CT

Qualifications

• 15+ years in enterprise architecture, data architecture, or AI/ML platforms.
• Proven success building enterprise-scale data and AI platforms.
• Experience driving AI adoption from concept to production at scale.
• Strong background in AWS, Azure, GCP, and distributed systems.
• Understanding security and compliance requirements for data and AI systems.

Responsibilities

• Lead enterprise AI and data strategy and own the architecture roadmap.
• Align AI and data initiatives with business goals and measurable value.
• Establish standards for scalable and reusable AI and data capabilities.
• Serve as a trusted advisor to technology and business leaders on AI strategy.

Skills

Enterprise architecture

Data architecture

AI platforms

MLOps

LLMOps

Generative AI

Data governance

Stakeholder influence

Tools

AWS

Azure

GCP

Lakehouse

Data mesh

ETL/ELT

Streaming pipelines

Model lifecycle management

Metadata & lineage

Job description

Pitney Bowes is seeking a senior technical leader to set the direction for the organization’s AI and data architecture. You will build scalable, secure, and governed foundations for analytics, ML, and generative AI, and lead architecture governance across data platforms and AI-enabled applications.

You will drive enterprise AI strategy, align initiatives with business goals, define data models and lineage, and mentor a high-performing team of architects and engineers in a hybrid Shelton, CT