Automation RDEC (Research, Development, Engineering, and Collaboration) Lead

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.

We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. 

Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

Automation Engineering

• Architect and implement end-to-end automation pipelines, integrating data, workflows, and business logic.

• Leverage GCP services (Cloud Functions, BigQuery, Pub/Sub, Cloud Run, Vertex AI) to deliver scalable, cloud-native automations.

• Explore and apply open-source and cost-effective automation frameworks where appropriate.

• Build reusable automation components that accelerate delivery across multiple use cases.

• Optimize performance, resilience, and cost efficiency of automation solutions.

Innovation & Emerging Tech

• Evaluate and pilot Agentic AI and GenAI solutions for intelligent orchestration and decision automation.

• Stay ahead of emerging technologies in automation, workflow, and AI-driven process optimization.

• Bring forward proof-of-concepts to leadership, demonstrating feasibility and business impact.

Leadership & Collaboration

• Lead a small team of developers/automation engineers, providing technical guidance and mentoring.

• Collaborate closely with business SMEs, analytics teams, and process excellence leads to identify automation opportunities.

• Partner with EIT and vendors to ensure solutions align with enterprise architecture and governance standards.

• Drive a culture of experimentation, agility, and reusability in the automation portfolio.

Governance & Impact

• Establish coding standards, integration guidelines, and documentation frameworks for automation delivery.

• Ensure automations comply with security, compliance, and audit requirements.

• Define KPIs for automation success: hours saved, reusability, deployment cycle time, sustainability.

• Track and communicate impact to leadership through dashboards and reports.

• 8–12 years in automation solution development, with at least 3–4 years in a leadership or senior engineering role.

• Hands-on expertise with RPA (UiPath, Automation Anywhere, Blue Prism), Python automation, workflow orchestration.

• Deep working knowledge of GCP services (BigQuery, Cloud Functions, Cloud Storage, Vertex AI).

• Exposure to agentic AI / GenAI-based solutions, NLP, and intelligent automation frameworks.

• Strong understanding of APIs, microservices, and enterprise integration patterns.

• Experience leading a small engineering team and mentoring developers.

• Proven ability to balance innovation with cost-effective delivery.

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related discipline.

• Enterprise sees faster automation delivery, with measurable effort savings.

• Reusable automation pipelines/components reduce duplication and speed scale.

• Adoption of next-gen automation technologies (Agentic AI, orchestration) for smarter solutions.

• The RDEC function becomes a recognized innovation hub within GBS.

• High-performing team consistently delivering governed, secure, and cost-effective automation.