Job Title: Manager, Platform Integrations & Engineering

Job Location: Remote, North Carolina, USA

Job Location Type: Remote

Job Contract Type: Full-time

Job Seniority Level:

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Manager, Platform Integrations & Engineering

The opportunity

The Manager, Platform Integrations & Engineering leads a global team that designs, builds, and supports secure, scalable integrations for CRG Digital platforms and clinical research capabilities. You will set engineering standards across enterprise applications, data platforms, vendor ecosystems, and cloud technologies, while guiding the shift from bespoke development to reusable, configurable, and increasingly automated solutions.

What you’ll do

Lead, mentor, and grow a global team of integration and platform engineers responsible for development and production support; set clear expectations for quality, ownership, delivery, and operational excellence.
Provide technical oversight across SQL, Python, Talend, MuleSoft, Oracle SOA, Tidal, Snowflake, and Databricks. Partner with Platform Architecture and solution architects to turn enterprise architecture direction into repeatable engineering patterns.
Set and enforce standards for API, file-based, database, event-driven, batch, and cloud integrations, including SOPs, reusable patterns, naming and coding conventions, technical documentation, and lifecycle management.
Promote configuration and reuse first, with clear criteria for when teams should configure, reuse, extend, custom-build, retain, modernize, consolidate, or replace a solution. Minimize bespoke development and modernize legacy integrations toward API-first and cloud-native patterns.
Ensure integrations meet requirements for scalability, resilience, security, maintainability, performance, and operational support. Support enterprise applications, clinical and vendor platforms, APIs, cloud data platforms, external partners, and data movement into and across Snowflake, Databricks, and cloud object storage.
Advance CI/CD and DevOps maturity. Establish source control, branching, pull requests, peer reviews, release management, and automated testing; build reusable unit and regression testing frameworks for standard integration patterns.
Automate build validation, code quality, static analysis, vulnerability and secrets scanning, deployment gates, and release validation. Use AI-assisted development and testing where appropriate for code, documentation, test cases, troubleshooting, and repeatable work, with governance and human oversight
Ensure practices comply with applicable SDLC, change-control, validation, cybersecurity, privacy, and regulatory requirements. Maintain segregation of duties, traceability, deployment approval, and production access controls.
Keep integration assets documented with clear ownership, dependencies, support procedures, and lifecycle plans. Partner with Run-the-Engine and support teams on escalation paths, knowledge transfer, support documentation, and engineering ownership.
Keep production integration monitored, observable, supportable, and resilient. Establish proactive logging, alerting, dependency management, and automated recovery where feasible; drive root-cause analysis and permanent fixes for recurring failures.
Track availability, failures, incident volume, mean time to detect and resolve, deployment quality, defect leakage, technical debt, SLA performance, development cycle time, quality, automation, productivity, integration health, capacity, and operational risk.
Balance project delivery, modernization, technical debt, production support, and strategic priorities; allocate resources ac

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