AI & Data Architect

Pitney Bowes OY; Northern (KY); Hybrid; USD 160,000 - 230,000; Full time

Benefits offered by this job

Global benefits

Wellbeing programs

Job summary

Pitney Bowes is seeking an AI & Data Architect to lead the enterprise AI and data architecture strategy. You will define scalable, governed data and AI foundations, enabling measurable business outcomes through analytics, ML, and generative AI.

As design authority, you will drive platform leadership across data models, metadata, MLOps, governance, and risk management, partnering with CIO and business leaders to ensure reuse, security, and speed of delivery in a remote-friendly environment.

Qualifications

• 15+ years in enterprise architecture, data architecture, or AI/ML platforms.
• Proven experience building enterprise-scale data and AI platforms.
• Experience driving AI adoption from concept to production at scale.

Responsibilities

• Define and own the enterprise AI and data architecture roadmap.
• Design and lead a modern enterprise data architecture (lakehouse/mesh).
• Establish and enable AI/ML platform capabilities (MLOps/LLMOps).
• Define governance, metadata, lineage, and data quality standards.
• Lead architectural reviews for major data platforms and AI-enabled apps.
• Partner with CIO and business leaders to drive value realization.

Skills

Enterprise Architecture

Data Architecture

AI/ML Platforms

Cloud Platforms

Leadership

MLOps & LLM integration

Job description

## AI & Data ArchitectApply: US CT Shelton: US FL Remote: US OH Remote: US VA Remote: US NC Remote: Full time: Posted 30 Days Ago: R22082**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:**The **AI & Data Architect** is the senior technical leader responsible for defining and executing the enterprise **AI 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 the **design 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 the **enterprise AI and data architecture roadmap*** Align AI and data initiatives with **business strategy and value realization*** Establish standards for **scalable, 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 a **modern 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 a **centralized, scalable data platform****3. AI Platform & Engineering Enablement*** Establish enterprise **AI/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 of **production-grade AI patterns vs. experimental silos**## **4. Data Governance, Quality & Ownership*** Define and enforce **data governance framework beyond regulatory minimums*** Clarify **data ownership, stewardship, and accountability models*** Establish enterprise standards for: + Data quality + Master data management + Data lifecycle management* Resolve fragmentation and enable a **single, trusted data foundation****5. Responsible AI & Risk Management*** Embed **responsible 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 the **enterprise authority for AI and data architecture decisions*** Define **reference 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* Enable **federated adoption model** (central platform, distributed execution)* Build and mentor a **high-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 building **enterprise-scale data and AI platforms*** Experience driving **AI adoption from concept to production at scale*** Strong background in **cloud 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 both **strategic and deep technical levels*** Strong experience establishing **enterprise standards and governance*** Proven ability to influence **executive stakeholders and cross-functional teams*** Track record of building **high-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.