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 purposeDeliver high quality work with consistency and prideCollaborate effectively and elevate those around themFocus 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 Enterprise AI & Data StrategyDefine and own the enterprise AI and data architecture roadmapAlign AI and data initiatives with business strategy and value realizationEstablish standards for scalable, reusable AI and data capabilitiesServe as a trusted advisor to CIO and business leadership on AI strategy Data Architecture & Platform LeadershipDesign and implement a modern enterprise data architecture (lakehouse / mesh / hybrid models)Define enterprise-wide:Data models and canonical schemasMetadata, lineage, and data catalog strategyData integration and interoperability patternsLead the development of a centralized, scalable data platform AI Platform & Engineering EnablementEstablish enterprise AI/ML platform capabilities (MLOps / LLMOps)Enable consistent model lifecycle management:Data ingestion → model training → deployment → monitoringStandardize tooling, frameworks, and infrastructure for AI deliveryDrive adoption of production-grade AI patterns vs. experimental silos Data Governance, Quality & OwnershipDefine and enforce data governance framework beyond regulatory minimumsClarify data ownership, stewardship, and accountability modelsEstablish enterprise standards for:Data qualityMaster data managementData lifecycle managementResolve fragmentation and enable a single, trusted data foundation Responsible AI & Risk ManagementEmbed responsible AI practices (transparency, fairness, explainability)Ensure alignment with regulatory and internal policy requirementsPartner with security and risk leaders to:Mitigate AI-related risksProtect sensitive data and modelsEstablish security standards for data and AIEstablish auditability and controls for AI systems Architecture Governance & StandardsServe as the enterprise authority for AI and data architecture decisionsDefine reference architectures, patterns, and reusable componentsLead architecture reviews for:Major data platformsAI-enabled applicationsEnsure consistency across business units and technology teams Cross-Functional Leadership & InfluencePartner with Engineering, Product, Security, and Operations teamsEnable federated adoption model (central platform, distributed execution)Build and mentor a high-performing team of architects and engineersDrive collaboration through AI councils, governance forums, and working groups You Bring 15+ years in enterprise architecture, data architecture, or AI/ML platformsProven experience building enterprise-scale data and AI platformsExperience driving AI adoption from concept to production at scaleStrong background in cloud platforms (AWS, Azure, GCP) and distributed systems Technical Expertise Data architecture: lakehouse, data mesh, ETL/ELT, streaming pipelinesAI/ML: model lifecycle, MLOps, generative AI, LLM integrationData governance: metadata, lineage, quality frameworksPlatform engineering: APIs, microservices, cloud-native architecturesSecurity and compliance principles for data and AI systems Leadership & Operating Model Ability to operate at both strategic and deep technical levelsStrong experience establishing enterprise standards and governanceProven ability to influence executive stakeholders and cross-functional teamsTrack record of building high-talent-density teams Success Outcomes (12–24 Months) Enterprise AI and data platform established and adopted across business unitsData fragmentation reduced; clear ownership and governance in placeAI delivery lifecycle standardized with measurable improvements in speed and qualityIncreased 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 optimizationAdoption of data and AI capabilities across business units Platform & Delivery Time-to-deploy AI modelsPlatform adoption rate (% of workloads on standardized platform) Data Quality & Governance % of critical data assets with defined ownershipData quality score improvements AI Effectiveness Model performance (accuracy, drift, business outcome metrics)AI project ROI Risk & Compliance % of AI systems under governanceReduction 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.