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

Caterpillar•Irving, TX

8d•Onsite

About The Position

The Manager, Data Analytics & AI will lead 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 other stakeholders to translate business requirements into analytics, reporting, automation, and AI solutions that improve decision-making, efficiency, and audit effectiveness. The position serves as business owner for IAAS analytics and technology platforms, including Power BI, Snowflake, and Optro, as well as control-monitoring and AI-enabled solutions. The manager establishes governance, standards, documentation, and operating practices to ensure capabilities are secure, reliable, scalable, aligned with enterprise standards, and integrated into IAAS processes. The successful candidate combines people leadership, technical expertise, business partnership, and communication skills to build teams and drive innovation through analytics, automation, and AI. Responsibilities include identifying and prioritizing analytics opportunities; delivering scalable analytics products and reporting; leading, coaching, and developing data scientists; coordinating work through the department’s EY co-source relationship; owning platform governance and modernization; developing dashboards, operational metrics, and control-monitoring capabilities; communicating findings and recommendations; evaluating and governing AI-enabled solutions; and advising stakeholders on analytics and technology opportunities. The role is onsite five days per week in Peoria, Illinois, or Irving, Texas, with travel up to 10%. Relocation assistance is available for qualified candidates. The summary pay range is $147,760–$240,110. Benefits are subject to plan eligibility, terms, and guidelines.

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 explain complex technical concepts to non-technical audiences.
Demonstrated ability to influence stakeholders and build alignment across functions.
Strong relationship-management and stakeholder-engagement capabilities.
Onsite work five days per week in Peoria, IL, or Irving, TX; travel 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.
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 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 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 for business decision-making.
Ensure reporting is accurate, timely, meaningful, and aligned with stakeholder needs.
Communicate key findings, trends, risks, and recommendations to organizational leaders.
Identify opportunities to use AI-enabled solutions, automation, and advanced analytics to improve operational effectiveness.
Lead 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 to improve analytics maturity, adoption, and business impact.
Partner with business leaders and stakeholders to understand priorities and develop analytics strategies that support organizational goals.
Build relationships across technical and non-technical teams; communicate complex analytical concepts clearly and practically.
Manage stakeholder expectations and ensure delivery of high-value solutions.
Serve as a trusted advisor on analytics, reporting, automation, AI, and technology opportunities.