Manager Data Analytics & AI

• Oversee enterprise-wide data analytics and AI enablement initiatives including data product design integration patterns and AI-ready data foundations.
• Provide strategic direction to ensure data analytics and AI capabilities meet business needs decision requirements and future scalability.
• Establish and enforce standards for data quality lineage governance and reuse across the portfolio.
• Lead adoption of data fabric patterns to enable federated data access with enterprise-wide guardrails.
• Partner with solution integration and data architects to ensure consistent implementation of data and AI patterns.
• Maximize staff and leader contribution through coaching professional growth and capability development.
• Monitor and maintain adherence to quality security and responsible AI standards on an ongoing basis.
• Ensure analytics and AI deliver actionable insights not just reports or models.

• Understands the organization's business model value drivers and financial goals.
• Communicates key considerations for business and technology decision-making.
• Translates business objectives into analytics data and AI priorities.
• Engages stakeholders to balance competing priorities and outcomes.

• Participates in architecting enterprise-wide data analytics and AI strategies.
• Champions awareness of emerging trends such as AI platforms data fabric data products and advanced analytics.
• Ensures senior leadership awareness of the enterprise impact of major technology trends.
• Monitors industry best practices and guides responsible adoption of new technologies.
• Provides perspective on the evolution risks and business impact of AI-driven capabilities.

• Designs and orchestrates the use of analytics and AI for strategic decision-making.
• Champions advanced analytics predictive insights and prescriptive decision support.
• Enables leaders to use analytics insights effectively not just consume dashboards.
• Implements outcome-focused operating metrics and performance measures.
• Applies quantitative statistical and modeling approaches to complex business problems.

• Defines and operationalizes a data fabric strategy across distributed data platforms.
• Enables federated data ownership with centralized standards for security quality and semantics.
• Leverages metadata lineage and policy-driven governance embedded directly in data flows.
• Ensures data assets are reusable discoverable and trusted for analytics and AI use cases.
• Aligns data fabric patterns with AI lifecycle needs including feature reuse explainability and auditability.

• Leads adoption of new platforms tools and processes as business and technology evolve.
• Adapts operating models to support analytics-driven and AI-enabled ways of working.
• Encourages experimentation learning and continuous improvement.
• Communicates lessons learned from both successes and failures.

• Builds and sustains a strong pipeline of data analytics and AI leadership talent.
• Coaches leaders and teams to grow strategic not purely technical capabilities.
• Establishes clear role expectations and development paths aligned to future needs.
• Creates an environment that attracts and retains high-impact data and analytics talent.

• Inspires teams with a clear vision for analytics-led and AI-enabled decision making.
• Coaches leaders in adaptive leadership approaches appropriate to complex matrixed environments.
• Models behaviors that promote accountability trust and collaboration.
• Drives alignment around long-term data and AI strategy.

• Communicates effectively across business technology and data domains.
• Balances functional priorities with enterprise-level outcomes.
• Resolves competing requirements across solutions platforms and stakeholder groups.
• Maintains strong partnerships across geographic and organizational boundaries.

• Manages strategic relationships with data analytics cloud and AI vendors.
• Evaluates vendor roadmaps and alignment to enterprise data and AI strategy.
• Establishes best practices for leveraging external partners while protecting enterprise standards.
• Oversees integration of third-party tools into the data and analytics ecosystem.

• The location for this role is Irving TX or Peoria IL
• This position may require 20% travel.

• Medical dental and vision benefits*
• Paid time off plan (Vacation Holidays Volunteer etc.)*
• 401(k) savings plans*
• Health Savings Account (HSA)*
• Flexible Spending Accounts (FSAs)*
• Health Lifestyle Programs*
• Employee Assistance Program*
• Voluntary Benefits and Employee Discounts*
• Career Development*
• Incentive bonus*
• Disability benefits
• Life Insurance
• Parental leave
• Adoption benefits
• Tuition Reimbursement

What We Do

Cat Digital is the digital and technology arm of Caterpillar Inc. responsible for bringing digital capabilities to our world-famous yellow iron. With over 1.5M connected assets worldwide our teams use data technology advanced analytics and AI capabilities to help our customers build a better world.

Why Work With Us

The Cat Digital team is at the forefront of Caterpillar’s evolution. We take pride in solving complex problems by building new systems from the ground up. On our team you’ll leverage data from across our entire enterprise to find solutions that open a new world of possibilities for our customers and dealers. Join us in building a better tomorrow.

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