Principal - Automation Specialist, Business Risk Intelligence

Cummins•Columbus, IN

2h•Onsite

About The Position

Cummins is seeking a Principal - Automation Specialist for its Business Risk Intelligence team within the Systems/Information Technology function of its Corporate organization in Columbus, Indiana. The role leads the design and integration of cybersecurity technologies and secure system architectures, partners with stakeholders to develop technology solutions, and advances cybersecurity engineering, research, compliance, and authorized penetration testing. It also includes financial stewardship, resource management, employee development, and business relationship management. The specialist defines and maintains the Business Risk Intelligence automation strategy and roadmap, identifying opportunities to automate intelligence collection, analysis, reporting, and decision support. The role designs and optimizes automated workflows and AI-enabled capabilities, including the use of Generative AI, Microsoft Copilot, Copilot Studio, Power Platform, and Azure AI services. It enables risk intelligence through automated collection, correlation, prioritization, and reporting, and develops processes for KRIs, EWIs, executive dashboards, and emerging-risk monitoring. The position designs integrations across cybersecurity, risk management, business intelligence, and enterprise platforms using APIs, connectors, and automation technologies. It works with enterprise data and analytics, cybersecurity, risk management, IT, digital, and business stakeholders; establishes governance for automation, AI, workflow reliability, and operational resilience; and monitors performance and business value to continually improve capabilities.

Requirements

5–7 years of cybersecurity work experience.
College, university, or equivalent degree in Computer Science, Information Technology, a related subject, or relevant equivalent experience.
Experience in automation, AI, workflow orchestration, business intelligence, cybersecurity, or enterprise technology.
Ability to apply security, privacy, and compliance standards across product and system lifecycles.
Knowledge and application of programming principles, data principles, modern development practices, solution design, and system architecture.
This position may require licensing for compliance with export controls or sanctions regulations.

Nice To Haves

Two years of experience with cloud technology and concepts.
CISSP or similar certification.
Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, Engineering, Data Analytics, or a related field.
Knowledge of Microsoft Power Platform, Power Automate, Copilot Studio, Azure AI, APIs, scripting, enterprise integrations, and AI governance.

Responsibilities

Lead the design, integration, and alignment of cybersecurity technologies and system configurations to meet security, performance, and business requirements.
Partner with organizational stakeholders to evaluate needs, develop technology solutions, and drive secure business outcomes.
Conduct cybersecurity engineering and research to develop capabilities and embed security controls in enterprise systems.
Design and oversee secure hardware, operating system, and software application architectures that address cybersecurity risks and compliance requirements.
Manage and coordinate authorized penetration testing and ensure vulnerabilities are identified, assessed, and remediated.
Contribute to cybersecurity financial stewardship, including annual operating plans, budget management, forecasting, purchase orders, and invoice reconciliation.
Lead, mentor, and develop employees, contractors, and other team members; manage resources to meet near-term objectives and long-term strategic goals.
Build business partnerships and high-performing teams through performance management, development planning, coaching, and business relationship management.
Define and maintain the Business Risk Intelligence automation strategy and roadmap.
Identify automation opportunities for intelligence collection, analysis, reporting, and decision support, aligned with enterprise AI strategy, business priorities, and risk objectives.
Design and implement automated workflows for intelligence collection, risk assessments, executive reporting, and operational processes.
Reduce manual effort through workflow orchestration, business process automation, and intelligent task routing; improve automation performance, reliability, and scalability.
Design and implement AI-enabled capabilities for intelligence production and business decision support, and evaluate emerging AI technologies for practical use cases and responsible AI practices.
Automate collection, correlation, prioritization, and reporting of enterprise risk information, including processes for KRIs, EWIs, executive dashboards, and emerging-risk monitoring.
Design integrations across cybersecurity, risk management, business intelligence, and enterprise platforms using APIs, connectors, and automation technologies.
Enable intelligence data movement between enterprise systems and support integration of AI services with existing applications and data sources.
Partner with Enterprise Data & Analytics, Cybersecurity, Enterprise Risk Management, IT, Digital, and business stakeholders to identify automation opportunities.
Establish governance practices for automation, AI, workflow reliability, and operational resilience; monitor performance, measure business value, and continuously improve capabilities.
Apply security, programming, data, modern development, solution design, system architecture, strategic thinking, communication, and customer-success practices to deliver effective outcomes.