Senior Data & AI Engineering Lead (WW Technical Operations)

About Xerox Holdings Corporation

For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power the hybrid workplace of today and tomorrow. Today, Xerox is continuing its legacy of innovation to deliver client-centric and digitally-driven technology solutions and meet the needs of today’s global, distributed workforce. From the office to industrial environments, our differentiated business and technology offerings and financial services are essential workplace technology solutions that drive success for our clients. At Xerox, we make work, work. Learn more about us at www.xerox.com.

Location: Lexington, Kentucky (Hybrid/Remote)

Schedule: Monday - Friday - Days

Compensation: $136,000-$238,000 annually, based on experience

Global Customer Solutions & Insights

Role Overview

We are seeking a Senior Data & AI Engineering Lead to own the reliability, scalability, and strategic evolution of global MPS data collection, telemetry, and service infrastructure.

This senior role connects infrastructure, data platforms, service operations, and business execution to ensure trusted data flows that enable analytics, predictive services, billing, consumables, asset management, and customer-facing capabilities at global scale.

Key Accountabilities

Own Global Data Collection Reliability & Infrastructure Strategy

• Own global telemetry and data collection reliability across large-scale fleet environments.
• Set infrastructure strategy for resilient, high-performing platforms supporting millions of connected devices.
• Govern hybrid cloud, on-premises, and IoT-enabled collection models.

Lead Enterprise Observability, Risk Management & Incident Governance

• Define executive-level observability for data availability, timeliness, quality, and platform health.
• Serve as senior escalation owner for incidents affecting service continuity or business execution.
• Drive root cause elimination and long-term risk reduction.

Drive Automation, Standardization & Operational Leverage

• Lead automation strategy across infrastructure, deployment, and operations using Infrastructure as Code.
• Scale self-healing capabilities, standardized runbooks, and automated recovery.
• Improve stability, cost efficiency, and operational leverage across global services.

Govern Data Pipeline Performance & Service Readiness

• Own end-to-end reliability of data flows from devices to enterprise platforms and downstream services.
• Identify structural gaps in ingestion, processing, delivery, and consumption readiness.
• Establish cross-functional accountability across platform, analytics, and service teams.

Influence Across the Global Service Ecosystem

• Influence senior stakeholders across WW Technical Operations, Global Analytics & Applications, Advanced Services, IT/software development, and GBS to align data reliability with business execution.

Technical Skills (Required)

• Azure data and integration services, Databricks, Delta Lake, and large-scale cloud data platforms
• ETL/ELT, data modeling, Spark, Kafka, Airflow, Python, SQL, and PySpark
• MLOps, CI/CD, API integration, monitoring frameworks, Power BI, QlikView, and operational dashboards

Technical Skills (Nice to have)

• Azure Machine Learning, Azure OpenAI, NLP, predictive analytics, time-series forecasting, and model evaluation
• Oracle, SQL Server, PostgreSQL, and MySQL

Shape Platform Scalability & Future Architecture

• Lead modernization from legacy collection models to scalable cloud and IoT-enabled architectures.
• Align platforms and operating models with NewCo strategy and future service requirements.
• Build the foundation for AI-enabled services, automation, and next-generation operations.

Leadership Profile

• Senior experience in infrastructure engineering, cloud platforms, systems operations, or enterprise data services.
• Strong command of observability, incident governance, service resilience, automation, and operational risk management.
• Deep knowledge of data pipelines, telemetry systems, IoT environments, and large-scale distributed architectures.
• Executive communication skills with the ability to influence engineering, data, operations, and business stakeholders.

Strategic Impact

This role is critical to the global service operating model, converting device telemetry into trusted, resilient, decision-ready data that powers analytics, predictive services, billing, consumables, asset management, and customer-facing capabilities.

By strengthening platform reliability, data quality, automation, and governance, this leader improves service continuity, accelerates execution, reduces operational risk, and enables scalable growth.