Note: The job is a remote job and is open to candidates in USA. Xerox Holdings Corporation is a company that has continually redefined the workplace experience for over 100 years. They are seeking a Senior Data & AI Engineering Lead to own the reliability, scalability, and strategic evolution of global MPS data collection and service infrastructure, ensuring trusted data flows that enable analytics and customer-facing capabilities.
Responsibilities
- 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
Skills
- Azure data and integration services
- Databricks
- Delta Lake
- Large-scale cloud data platforms
- ETL/ELT
- Data modeling
- Spark
- Kafka
- Airflow
- Python
- SQL
- PySpark
- MLOps
- CI/CD
- API integration
- Monitoring frameworks
- Power BI
- QlikView
- Operational dashboards
- Senior experience in infrastructure engineering
- Cloud platforms
- Systems operations
- Enterprise data services
- Strong command of observability
- Incident governance
- Service resilience
- Automation
- Operational risk management
- Deep knowledge of data pipelines
- Telemetry systems
- IoT environments
- Large-scale distributed architectures
- Executive communication skills with the ability to influence engineering
- Data
- Operations
- Business stakeholders
- Azure Machine Learning
- Azure OpenAI
- NLP
- Predictive analytics
- Time-series forecasting
- Model evaluation
- Oracle
- SQL Server
- PostgreSQL
- MySQL
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