AI & Data Architect

We’re hiring at Pitney Bowes, where top talent builds meaningful careers and lasting impact. We Move fast, Deliver excellence, and Win together…that’s The Pitney Bowes way. Here, how we work matters just as much as what we achieve.

We’re looking for people who:

• Act with urgency, accountability, and purpose

• Deliver high quality work with consistency and pride

• Collaborate effectively and elevate those around them

• Focus on outcomes that drive impact and growth

Job Description:

TheAI & Data Architect is the senior technical leader responsible for defining and executing the enterpriseAI and data architecture strategy. This role establishes a scalable, secure, and governed foundation for data and AI, enabling the organization to deliver measurable business outcomes through advanced analytics, machine learning, and generative AI.

The role acts as thedesign authority for AI and data platforms—ensuring alignment across business priorities, technology architecture, data governance, and AI capabilities—while driving consistency, reuse, and speed of delivery across the enterprise.

You Will

1. Enterprise AI & Data Strategy

• Define and own theenterprise AI and data architecture roadmap
• Align AI and data initiatives withbusiness strategy and value realization
• Establish standards forscalable, reusable AI and data capabilities
• Serve as a trusted advisor to CIO and business leadership on AI strategy

2. Data Architecture & Platform Leadership

• Design and implement amodern enterprise data architecture (lakehouse / mesh / hybrid models)
• Define enterprise-wide:
  • Data models and canonical schemas
  • Metadata, lineage, and data catalog strategy
  • Data integration and interoperability patterns
• Lead the development of acentralized, scalable data platform

3. AI Platform & Engineering Enablement

• Establish enterpriseAI/ML platform capabilities (MLOps / LLMOps)
• Enable consistent model lifecycle management:
  • Data ingestion → model training → deployment → monitoring
• Standardize tooling, frameworks, and infrastructure for AI delivery
• Drive adoption ofproduction-grade AI patterns vs. experimental silos

4. Data Governance, Quality & Ownership

• Define and enforcedata governance framework beyond regulatory minimums
• Clarifydata ownership, stewardship, and accountability models
• Establish enterprise standards for:
  • Data quality
  • Master data management
  • Data lifecycle management
• Resolve fragmentation and enable asingle, trusted data foundation

5. Responsible AI & Risk Management

• Embedresponsible AI practices (transparency, fairness, explainability)
• Ensure alignment with regulatory and internal policy requirements
• Partner with security and risk leaders to:
  • Mitigate AI-related risks
  • Protect sensitive data and models
  • Establish security standards for data and AI
• Establish auditability and controls for AI systems

6. Architecture Governance & Standards

• Serve as theenterprise authority for AI and data architecture decisions
• Definereference architectures, patterns, and reusable components
• Lead architecture reviews for:
  • Major data platforms
  • AI-enabled applications
• Ensure consistency across business units and technology teams

7. Cross-Functional Leadership & Influence

• Partner with Engineering, Product, Security, and Operations teams
• Enablefederated adoption model (central platform, distributed execution)
• Build and mentor ahigh-performing team of architects and engineers
• Drive collaboration through AI councils, governance forums, and working groups

You Bring

• 15+ years in enterprise architecture, data architecture, or AI/ML platforms
• Proven experience buildingenterprise-scale data and AI platforms
• Experience drivingAI adoption from concept to production at scale
• Strong background incloud platforms (AWS, Azure, GCP) and distributed systems

Technical Expertise

• Data architecture: lakehouse, data mesh, ETL/ELT, streaming pipelines
• AI/ML: model lifecycle, MLOps, generative AI, LLM integration
• Data governance: metadata, lineage, quality frameworks
• Platform engineering: APIs, microservices, cloud-native architectures
• Security and compliance principles for data and AI systems

Leadership & Operating Model

• Ability to operate at bothstrategic and deep technical levels
• Strong experience establishingenterprise standards and governance
• Proven ability to influenceexecutive stakeholders and cross-functional teams
• Track record of buildinghigh-talent-density teams

Success Outcomes (12–24 Months)

• Enterprise AI and data platform established and adopted across business units
• Data fragmentation reduced;clear ownership and governance in place
• AI delivery lifecycle standardized with measurable improvements in speed and quality
• Increased business impact from AI (revenue, cost efficiency, decision quality)
• Strong architecture governance model driving consistency and reuse

Key Performance Indicators (KPIs)

Business Impact

• AI-driven revenue contribution and cost optimization
• Adoption of data and AI capabilities across business units

Platform & Delivery

• Time-to-deploy AI models
• Platform adoption rate (% of workloads on standardized platform)

Data Quality & Governance

• % of critical data assets with defined ownership
• Data quality score improvements

AI Effectiveness

• Model performance (accuracy, drift, business outcome metrics)
• AI project ROI

Risk & Compliance

• % of AI systems under governance
• Reduction in data and AI-related risk incidents

Sponsorship:

Must be legally authorized to work in the US.  Employer will not sponsor position for employment visa status now or in the future (ex. H-1B).

We will:

• Provide the opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally(PB Benefits and Wellbeing Programs)

Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.

All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply. 

All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.