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

Caterpillar Inc.•Peoria, IL

9d•$147,760 - $240,110•Onsite

About The Position

The Manager, Data Analytics & AI leads the development, implementation, governance, and support of analytics, reporting, AI-enabled solutions, and technology platforms that advance audit execution, risk assessment, control monitoring, and business insights. The role leads a team of data scientists and partners with audit leaders and stakeholders to turn business requirements into analytics, reporting, automation, and AI-enabled solutions that improve decision-making, efficiency, and audit effectiveness. This position serves as business owner for IAAS analytics and technology environments, including Power BI, Snowflake, Optro, control-monitoring solutions, and AI-enabled solutions. It establishes governance, standards, and operating practices to ensure capabilities are reliable, scalable, secure, and integrated into IAAS processes. The manager also develops the team, oversees work through the department’s co-source relationship with EY, supports platform enhancements and modernization, and communicates findings and recommendations to leaders. The role is based onsite in Peoria, Illinois, or Irving, Texas, five days per week, with travel up to 10%. Relocation assistance is available for qualified candidates. The summary pay range is $147,760 to $240,110. Employment offers are conditioned on successful completion of a drug screen.

Requirements

At least 7 years of progressive experience in data analytics, business intelligence, data science, reporting, data engineering, or a related field.
Experience designing and implementing analytics solutions that translate business requirements into actionable insights.
Strong Power BI experience, including dashboard development, reporting, and data visualization.
Experience working with Snowflake or similar enterprise data platforms.
Experience using analytics, automation, AI-enabled solutions, or advanced technologies to solve business problems.
Strong analytical thinking, problem-solving, and decision-making capabilities.
Experience leading analytics teams, data scientists, analysts, consultants, or technical professionals through direct and/or indirect leadership.
Demonstrated success coaching, mentoring, and developing technical talent.
Experience managing multiple priorities, projects, and stakeholders simultaneously.
Ability to establish priorities, allocate resources, and drive results across a complex organization.
Experience translating business needs into scalable analytics and reporting solutions.
Strong executive communication and presentation skills.
Ability to simplify complex technical concepts for non-technical audiences.
Demonstrated ability to influence stakeholders and build alignment across functions.
Strong relationship management and stakeholder engagement capabilities.
Work onsite five days per week in Peoria, IL, or Irving, TX; travel may be required up to 10%.

Nice To Haves

Working knowledge of SQL, Python, R, or similar analytical tools.
Experience implementing AI-enabled solutions, automation, machine learning, or predictive analytics solutions.
Experience owning or governing enterprise analytics platforms and reporting environments.
Experience establishing analytics, reporting, or AI governance frameworks.
Experience managing code repositories, development standards, and analytics operating models.
Experience leading analytics transformations or enterprise reporting initiatives.
Experience supporting large global or highly matrixed organizations.
Experience partnering with senior leaders to influence strategy and business outcomes.
Experience working with Agile methodologies and technology-delivery frameworks.
Experience managing vendor or consulting relationships.
Advanced Power BI expertise.
Strong Snowflake experience.
Experience developing enterprise reporting, visualization, and dashboard solutions.
Knowledge of emerging data, analytics, and AI technologies.

Responsibilities

Identify, evaluate, and prioritize opportunities to improve reporting, risk assessment, operational effectiveness, and decision-making through analytics and technology.
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 business owner for IAAS analytics and technology platforms, including Power BI, Snowflake, and Optro.
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 on platform enhancements and modernization initiatives.
Lead the development of dashboards, reporting solutions, and analytical tools that provide actionable insights.
Support control-monitoring capabilities designed to identify risks, trends, anomalies, and opportunities.
Develop operational metrics and performance measures to support business decision-making.
Ensure reporting is accurate, timely, meaningful, and aligned with stakeholder needs.
Communicate findings, trends, risks, and recommendations to leaders across the organization.
Identify opportunities to use AI-enabled solutions, automation, and advanced analytics to improve operational effectiveness.
Lead the evaluation, implementation, and governance of AI-enabled solutions.
Promote innovation 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 priorities and develop analytics strategies supporting organizational goals.
Build relationships across technical and non-technical teams, communicate complex analytical concepts clearly, manage expectations, and deliver high-value solutions.
Serve as a trusted advisor on analytics, reporting, automation, AI, and technology opportunities.