Principal - Automation Specialist, Business Risk Intelligence

Cummins•Columbus, OH

About The Position

The Principal - Automation Specialist, Business Risk Intelligence works in Systems/Information Technology for the Corporate organization in Columbus, Indiana. The role leads the design and integration of cybersecurity technologies and system configurations, working with stakeholders to develop secure technology solutions that meet business and security requirements. It conducts cybersecurity engineering and research, designs secure hardware, operating system, and application architectures, and coordinates authorized penetration testing to identify and remediate vulnerabilities. The role defines and maintains the Business Risk Intelligence (BRI) automation strategy and roadmap. It identifies opportunities to automate intelligence collection, analysis, reporting, decision support, risk monitoring, and operational workflows. The specialist designs AI-enabled capabilities and automated workflows, using technologies such as Generative AI, Microsoft Copilot, Copilot Studio, Power Platform, and Azure AI services. The role also integrates cybersecurity, risk management, business intelligence, and enterprise platforms; establishes governance for automation and AI; monitors performance and business value; and continuously improves reliability, resilience, and scalability. The position also contributes to cybersecurity financial stewardship, including annual operating plans, budget management, forecasting, purchase orders, and invoice reconciliation. It leads, mentors, and develops employees, contractors, and other team members, managing resources and fostering high-performing teams through performance management, development planning, coaching, and Business Relationship Management practices.

Requirements

College, university, or equivalent degree in Computer Science, Information Technology, a related subject, or relevant equivalent experience is required.
A bachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, Data Analytics, or a related field is stated in the qualifications.
5–7 years of cybersecurity work experience is required.
Experience in automation, AI, workflow orchestration, business intelligence, cybersecurity, or enterprise technology.
Apply security, privacy, and compliance principles across the design, build, test, and operate lifecycle.
Apply programming languages, frameworks, and patterns to design, configure, test, and maintain efficient, secure, scalable, and reliable software, solutions, or systems.
Govern, model, secure, implement, and observe data flows to ensure integrity, quality, and compliance.
Apply modern engineering practices and tools, such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code.
Translate business requirements into integrated designs, architectures, patterns, and system interactions aligned with enterprise standards and platforms.
Create and evolve system architecture blueprints, reusable patterns, and roadmaps for scalability, resilience, security, and efficiency.
Maintain proficiency in relevant domains, tools, technologies, methodologies, or frameworks through development and credentials.
Demonstrate strategic and innovative thinking, technical curiosity, ownership, urgency, effective communication, collaboration, and a customer-first mindset.
This position may require licensing for compliance with export controls or sanctions regulations.

Nice To Haves

Certified Information Systems Security Professional (CISSP) or a similar certification.
Two years of experience with cloud technology and concepts.
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 initiatives to develop new 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, ensuring vulnerabilities are identified, assessed, and remediated.
Contribute to cybersecurity annual operating plans, budget management, forecasting, purchase orders, and invoice reconciliation.
Lead, mentor, and develop employees, contractors, and other team members; manage resources to achieve near-term objectives and long-term strategic goals.
Foster business partnerships and high-performing teams through performance management, development planning, coaching, and Business Relationship Management practices.
Define and maintain the Business Risk Intelligence automation strategy and roadmap.
Identify automation opportunities that improve intelligence collection, analysis, reporting, and decision support, aligned with enterprise AI strategy, business priorities, and risk management 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.
Optimize automation performance, reliability, and scalability.
Design and implement AI-enabled capabilities for intelligence production and business decision support, including use of Generative AI, Microsoft Copilot, Copilot Studio, Power Platform, and Azure AI services.
Evaluate emerging AI technologies and recommend practical use cases while promoting responsible AI practices.
Automate collection, correlation, prioritization, and reporting of enterprise risk information, including processes for KRIs, EWIs, executive dashboards, and emerging risk monitoring.
Improve the speed, consistency, and quality of intelligence products through automation and AI.
Design integrations across cybersecurity, risk management, business intelligence, and enterprise platforms using APIs, connectors, and automation technologies; enable intelligence data movement between systems and integrate AI services with enterprise 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 enterprise automation capabilities.
Apply security, programming, data, modern development, solution design, system architecture, strategic thinking, and customer success principles in carrying out the role.