Manager, Data Analytics & AI - Internal Auditing & Advisory Services; IAAS

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

As the Manager, Data Analytics & AI, you will lead the development, implementation, governance, and support of analytics, reporting, AI-enabled solutions, and technology platforms that help advance audit execution, risk assessment, control monitoring, and business insights.

In this role, you will lead a team of data scientists responsible for designing and delivering scalable analytics solutions aligned with IAAS priorities. You will partner closely with audit leaders and stakeholders to translate business requirements into meaningful analytics, reporting, automation, and AI-enabled solutions that improve decision-making, increase efficiency, and enhance audit effectiveness.

You will serve as the business owner for the department's analytics and technology ecosystem, including Power BI, Snowflake, and Optro environments as well as control monitoring solutions, and AI-enabled solutions. You will help establish the governance, standards, and operating practices needed to ensure these capabilities are reliable, scalable, secure, and effectively integrated into IAAS processes.

The successful candidate will combine strong people leadership, technical expertise, business partnership, and communication skills. This role is ideal for an analytics leader who enjoys building high-performing teams, translating business needs into data-driven solutions, and driving innovation through analytics, automation, and artificial intelligence.

• Identify, evaluate, and prioritize opportunities to improve reporting, risk assessment, operational effectiveness, and decision-making through analytics and technology solutions.
• Translate business requirements into actionable analytics, reporting, and AI-enabled solutions.
• Lead the design, development, implementation, and support of scalable analytics products and reporting solutions.
• Monitor solution effectiveness, business outcomes, technology adoption, and stakeholder satisfaction.

• Lead, coach, and develop a team of data scientists.
• Manage performance, workload prioritization, career development, and succession planning.
• Foster a collaborative, innovative, and results-oriented team culture.
• Manage and coordinate work performed through the department's co-source relationship with EY.

• Serve as the business owner for analytics and technology platforms supporting IAAS, including PowerBI, Snowflake, Optro. etc.
• Establish governance standards, development methodologies, documentation requirements, and operating practices.
• Ensure analytics solutions are scalable, secure, reliable, and aligned with enterprise standards.
• Partner with technology and data teams to support platform enhancements and modernization initiatives.

• Lead the development of dashboards, reporting solutions, and analytical tools that provide actionable insights to stakeholders.
• Support control monitoring capabilities designed to identify risks, trends, anomalies, and opportunities.
• Develop operational metrics and performance measures that support business decision-making.
• Ensure reporting is accurate, timely, meaningful, and aligned with stakeholder needs.
• Communicate key findings, trends, risks, and recommendations to leaders across the organization.

• Identify opportunities to leverage AI-enabled solutions, automation, and advanced analytics to improve operational effectiveness.
• Lead the evaluation, implementation, and governance of AI-enabled solutions.
• Promote innovative thinking and experimentation while maintaining appropriate controls and governance.
• Stay current on emerging technologies and identify opportunities to apply them within the organization.
• Lead strategic initiatives that improve analytics maturity, adoption, and business impact.

• Partner with business leaders and stakeholders to understand…