Principal - Data Management, Business Risk Intelligence

Cummins•Columbus, OH

About The Position

The Principal - Data Management, Business Risk Intelligence leads data strategy and management for the Business Risk Intelligence (BRI) capability within the Corporate Systems/IT organization in Columbus, Indiana. The role defines the BRI data strategy and roadmap, develops enterprise data capabilities for identifying emerging risks and supporting executive decisions, and aligns data initiatives with enterprise risk priorities, AI strategy, and business objectives. The position integrates enterprise risk data from internal functions—including Cybersecurity, Enterprise Risk, Audit, Compliance, Privacy, Legal, Supply Chain, Operational Technology, and Finance—as well as external intelligence sources. It establishes standards for data classification, ownership, metadata, lifecycle management, stewardship, and quality, and ensures BRI data capabilities work with GRC, vulnerability management, threat intelligence, operational technology, business intelligence, and AI platforms. The role develops AI-ready data models and analytics for predictive analysis, generative AI, knowledge management, KRIs, EWIs, and executive dashboards. It partners with an Automation Specialist and cross-functional teams to implement AI-enabled intelligence capabilities, evaluate emerging technologies, and promote responsible AI. The position also leads secure technology solution development, system architecture and engineering, cybersecurity configuration optimization, and penetration testing oversight. It contributes to budgeting, forecasting, annual operating plans, purchase order management, and financial oversight, and leads, coaches, and develops employees, contractors, and other resources.

Requirements

College, university, or equivalent degree in Computer Science, Information Technology, a related subject, or relevant equivalent experience.
Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Cybersecurity, Business Analytics, or a related field.
5–7 years of cybersecurity work experience.
Experience in enterprise data management, analytics, AI, business intelligence, or cybersecurity.
Ability to apply security, privacy, and compliance principles throughout the design, build, test, and operate lifecycle.
Ability to apply programming languages, frameworks, and patterns to design, configure, test, and maintain efficient, secure, scalable, and reliable solutions.
Ability to govern, model, secure, implement, and observe data flows to support integrity, quality, compliance, and trusted data use.
Ability to apply modern engineering practices and tools, such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code.
Ability to translate business requirements into integrated designs, architectures, patterns, and system interactions aligned with enterprise standards.
Ability to create and evolve system architecture blueprints, reusable patterns, and roadmaps for scalability, resilience, security, and long-term efficiency.
Ability to evaluate business and technology trends, anticipate future needs, and develop cost-aware innovations.
Ability to take ownership, act with urgency, and turn goals into plans and decisions while navigating ambiguity and change.
Ability to communicate clearly, align stakeholders, foster collaboration, build trust, and influence coordinated action.
Ability to link customer needs and business priorities to aligned solutions and sustained business value.
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 data governance, Power BI, SQL, Microsoft Fabric/Azure, AI technologies, and enterprise risk management.

Responsibilities

Define and maintain the Business Risk Intelligence data strategy and roadmap.
Establish enterprise data capabilities for emerging risk identification, executive decision support, and intelligence-driven risk management.
Align data management initiatives with enterprise risk priorities, AI strategy, and business objectives.
Integrate and manage enterprise risk data from internal functions and external intelligence sources.
Establish enterprise risk data standards for classification, ownership, metadata, and lifecycle management.
Improve data quality, consistency, and accessibility to support trusted intelligence and analytics.
Develop AI-ready data models for predictive analytics, generative AI, knowledge management, and executive reporting.
Partner with the Automation Specialist to implement AI-enabled intelligence capabilities and advanced analytics.
Evaluate emerging AI technologies and promote responsible AI practices within the BRI capability.
Correlate enterprise risk data to identify trends, emerging risks, and cross-domain relationships.
Develop data models supporting Key Risk Indicators, Early Warning Indicators, and executive dashboards.
Enable intelligence-driven insights that improve enterprise risk prioritization and decision-making.
Partner with Enterprise Data & Analytics, Cybersecurity, Enterprise Risk Management, Audit, Compliance, Privacy, Legal, Digital, and IT teams.
Establish governance processes for enterprise risk data ownership, stewardship, and quality.
Ensure BRI data capabilities integrate with GRC, vulnerability management, threat intelligence, operational technology, business intelligence, and AI platforms.
Lead development and implementation of secure technology solutions in partnership with stakeholders.
Drive integration and optimization of cybersecurity system configurations to meet performance, security, and compliance requirements.
Conduct system engineering and research to develop security solutions that support business objectives.
Design secure hardware, operating systems, and software architectures that address cybersecurity risks and safeguard business assets.
Oversee penetration testing, identify vulnerabilities, and ensure appropriate remediation actions.
Contribute to budgeting, forecasting, annual operating plans, purchase order management, and financial oversight.
Lead, coach, and develop teams, managing employees, contractors, and resources to meet immediate deliverables and strategic goals.
Build cross-organizational relationships and apply Business Relationship Management practices to deliver business value and cybersecurity outcomes.