Data Integrations Manager

Electronic Systems Inc•Jersey City, NJ

About The Position

Xerox Holdings Corporation, through its division XIT Staffing, is seeking a Data Integration Manager / Enterprise Systems Lead. This role is responsible for leading the strategy, architecture, and delivery of all enterprise system integrations across the organization. The position oversees integration initiatives involving 3PL providers, carriers, ERP systems, and internal platforms, ensuring seamless data flow throughout the technology ecosystem. This leadership role requires both technical expertise and strategic foresight, encompassing the management of integration specialists, the establishment of technical standards, and the alignment of integration capabilities with business objectives. The role involves a blend of hands-on technical guidance, program management, and high-level stakeholder engagement.

Requirements

7+ years of experience in enterprise systems integration and architecture
3+ years in a leadership or management role
Deep expertise in middleware/iPaaS platforms (Boomi, MuleSoft, Celigo, or similar)
Strong understanding of ERP, WMS, OMS systems and their integration patterns
Proven experience with EDI, API management, and event-driven architectures
Experience managing 3PL, carrier, or supply chain technology integrations
Strong program management and project delivery track record
Excellent stakeholder management and communication skills

Nice To Haves

Experience leading platform migrations or major integration transformations
Background in supply chain, logistics, or distribution operations
Knowledge of cloud platforms (Azure, AWS, GCP) and cloud-native integration
Familiarity with data engineering tools (Airflow, dbt, Kafka)
Experience with Agile/SAFe methodologies
Relevant certifications (e.g., Boomi, MuleSoft, AWS, TOGAF)
Experience with API gateway and microservices architectures

Responsibilities

Define and maintain the enterprise integration architecture and strategic roadmap.
Evaluate and select middleware/iPaaS platforms and integration technologies.
Establish integration patterns, standards, and best practices across the organization.
Lead platform migration initiatives (e.g., Celigo to Boomi or other enterprise solutions).
Design scalable, secure integration frameworks that support business growth.
Manage and mentor a team of integration specialists and developers.
Allocate resources across integration projects and priorities.
Conduct performance reviews, skills development, and career planning.
Foster a culture of technical excellence and continuous improvement.
Build team capability in emerging integration technologies.
Oversee integrations across ERP, WMS, OMS, CRM, and analytics platforms.
Ensure system interoperability and data consistency across the enterprise.
Lead major system implementation and upgrade projects.
Partner with enterprise application owners to optimize system capabilities.
Drive data governance and master data management initiatives.
Lead the 3PL integration program, including carrier and logistics provider partnerships.
Oversee EDI infrastructure and trading partner onboarding processes.
Establish SLAs and performance metrics for partner integrations.
Drive vendor management and contract negotiations for integration services.
Ensure compliance with industry standards and partner requirements.
Ensure 24/7 reliability and monitoring of critical integration flows.
Establish incident management and escalation procedures.
Oversee integration support model and ticket resolution processes.
Drive performance optimization and capacity planning.
Partner with Supply Chain, Operations, Finance, and IT leadership.
Translate business requirements into technical integration solutions.
Lead steering committees and project governance forums.
Manage integration budgets and vendor relationships.
Communicate integration roadmap and status to executive stakeholders.
Oversee data ingestion into data lakes and analytics platforms.
Ensure data quality, auditability, and compliance across integration pipelines.
Support business intelligence and reporting requirements.
Collaborate with Data Engineering and Analytics teams.
Implement data observability and quality framework.