CrossCountry Consulting

Manager – Automation & Integration Engineer

CrossCountry Consulting

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • Support a wide range of Data & Analytics Transformation projects, spanning data strategy, analytics enablement, and technology integration.
  • Contribute knowledge and best practices related to critical business processes such as data governance and analytics modernization.
  • Provide insights into clients, sharing industry-leading practices and guiding them to optimal solutions.
  • Oversee project administration activities, encompassing project setup, planning, budgeting, account management, and billing, ensuring smooth project completion.
  • Proactively monitor industry trends and articulate their potential impact on clients.
  • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards.
  • Stay informed about emerging AI tools and techniques and collaborating with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.
  • Mentor team members through coaching, regular ongoing feedback, annual performance reviews, and actively supporting project teams in resolving complex issues.
  • Build and nurture strong client relationships, serving as a trusted advisor who understands their business needs, identifies opportunities for new business, and delivers high-quality service.
  • Play an active role in attracting, interviewing, hiring, and retaining top talent.
  • Design and implement system-to-system integrations using APIs, webhooks, batch interfaces, and event-driven patterns.
  • Build and support automations across enterprise SaaS platforms (e.g., Coupa, ERP, finance, HR, CRM systems).
  • Develop reliable integration workflows with error handling, retries, idempotency, and partial failure management.
  • Perform data mapping and transformation between systems with differing schemas and data models.
  • Troubleshoot and resolve integration issues across authentication, data, and platform configuration layers.
  • Collaborate with business, security, and platform teams to understand requirements and constraints.
  • Produce clear integration documentation and operational runbooks.
  • Support integrations in production, including monitoring and incident response.

Requirements

  • 5–7 years prior experience in professional services (public accounting, advisory firm, or management consulting firm)
  • In-depth knowledge of integration engineering, API development, and automation
  • Demonstrated experience working with clients to design and implement enterprise integrations
  • Prior experience using one or more of the following tools: REST APIs, OAuth 2.0, iPaaS platforms (MuleSoft, Boomi, Workato, Tray, Celigo)
  • Experience mentoring and developing junior team members
  • Consistent success in building and developing strong client relationships
  • Comfort with AI: Demonstrated ability to responsibly explore and adopt firm-approved AI tools to enhance productivity and innovation
  • Continuous Learning Mindset: Openness to learning and applying emerging technologies including AI and automation in alignment with firm policies and client standards
Benefits
  • comprehensive healthcare options, including medical, dental, and vision coverage
  • flexible spending accounts
  • a 401(k) with company matching
  • generous parental and maternity leave policies
  • technology stipends
  • wellness reimbursement programs
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data strategyanalytics enablementdata governanceanalytics modernizationintegration engineeringAPI developmentautomationdata mappingerror handlingincident response
Soft Skills
mentoringclient relationship managementcoachingcommunicationproblem-solvingproject managementteam collaborationleadershipadaptabilitycontinuous learning