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Manager of Enterprise Systems Integration; On-Site

Job in Oak Brook, DuPage County, Illinois, 60523, USA
Listing for: SwiftCruit
Full Time position
Listed on 2026-07-04
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 158400 - 205950 USD Yearly USD 158400.00 205950.00 YEAR
Job Description & How to Apply Below
Position: Manager of Enterprise Systems Integration (On-Site)

Work Authorization

WORK AUTHORIZATION:
This position is not eligible for employment visa sponsorship now or in the future.

About This Role

The Manager of Enterprise Systems Integration is responsible for owning the enterprise integration strategy, platforms, and architectural standards that enable secure, resilient, and scalable data and application connectivity across the organization. This role manages a dedicated engineering team, supplemented by a variable pool of staff augmentation consultants, focused on the hands‑on development and support of data flows across Informatica, IBM, and Azure suites.

The primary accountability is maintaining the availability and reliability of all enterprise‑wide integration and data movement systems that underpin the retail supply chain, digital platforms, and SaaS ecosystems. This role also leads the strategic evolution of integration patterns from legacy batch‑oriented implementations to API‑led and event‑driven architectures, enabling real‑time business capabilities, analytics, and AI/ML use cases.

What You’ll Do
  • Directly manage and lead a dedicated engineering team plus a variable pool of staff augmentation consultants, overseeing resource allocation, skills development, and large‑scale delivery.
  • Maintain accountability for the performance, availability, and operational resiliency of all enterprise‑wide data movement and integration points, including 24/7 production coverage.
  • Manage the engineering standards, platform usage models, and implementation approaches for engineering of data flows using Informatica Power Center
    , IBM Sterling/Broker
    , IBM APIC
    , and Azure APIM/ADF
    .
  • Ensure all solution architectures for data movement align with approved enterprise standards and “enterprise architecture standards.”
  • Lead the progressive migration of data integration patterns from scheduled batch movement to integration, including API‑led connectivity, modern, event‑driven architectures, and real‑time data streaming, while ensuring controlled migration from legacy batch‑based patterns with no disruption to business operations.
  • Provide hands‑on mentorship and lead by example to develop the technical competencies of the integration engineering staff.
  • Own enterprise API lifecycle management, including design standards, versioning, reuse, deprecation, and external partner exposure, ensuring integrations are secure, discoverable, and reusable across the enterprise.
Who You Are

You are a strategic technology leader who thrives in complex integration environments and values operational excellence. You bring strong technical depth and enjoy leading teams while advancing modern data and integration capabilities.

Required Skills

Engineering Leadership:

  • 10+ years of experience in systems integration engineering, with 3+ years in a formal people leadership role managing teams of 10+ FTE developers, including experience managing on/offshore staff augmentation consultants.

Technical Stack Proficiency:

  • 5+ years of hands‑on experience with enterprise integration and data platform tooling, including Informatica (Power Center, DEI), IBM middleware (Sterling, Message Broker, APIC), Azure integration services (ADF, APIM), Hadoop, Databricks. Experience with Informatica, Hadoop and Databricks is required.

Modernization Expertise:

  • 5+ years leading modernization initiatives transitioning enterprise environments from batch‑processing to Event‑Driven Architecture (EDA), with demonstrated emphasis on operational continuity during migration.

Operational Management:

  • 5+ years managing production integration systems at high volume, with a strong understanding of supply chain data requirements in a retail context; proficiency with enterprise ITSM tooling for incident and change management.

Applied AI:

  • Practical understanding of AI/ML as it applies to integration engineering - including AIOps tooling for intelligent monitoring and anomaly detection, integration patterns that support AI/ML data pipelines, and the governed use of AI‑assisted development tools (including Git Hub Copilot) within an engineering team.

Education:

  • Bachelor's degree in computer science or IS; excellent communication skills to facilitate…
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