Senior Manager Analytics

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining 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 dontjust 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.

This position is responsible for managing the development implementation and support of data analytics and AI enablement across enterprise compliance program initiatives and data platforms. Provides leadership to ensure data and analytics capabilities are scalable reusable and aligned to goals across the enterprise compliance program.

What You Will Do:

The Sr. Manager Analytics activities include but are not limited to:

• Identifying sizing and prioritizing opportunities for improvement through analytics.
• Assessing thescope and resources required of various analytics projects and working with manager to define necessary resources.
• Managing client relations to ensure that project expectations are managed and fulfilled.
• Monitoring and communicating key performance metrics and operational challenges.
• Provide strategic direction to ensure data analytics and AI capabilities meet compliance program needs decision requirements and future scalability.
• Establish and enforce standards for data quality lineage governance and reuse across the program.
• Maximize staff contribution through coaching professional growth and capability development.
• Ensure analytics and AI deliver actionable insights not just reports or models.

Top Candidates will have:

Analytical Thinking

• Designs and orchestrates the use of analytics and AI for strategic decisionmaking.
• Champions advanced analytics predictive insights and prescriptive decision support.
• Enables leaders touse analytics insights effectively not just consume dashboards.
• Implements outcomefocused operating metrics and performance measures.
• Applies quantitative statistical and modeling approaches to complex business problems.
• Chooses among a diverse set of analytical tools according to the nature of the situation.

Business Statistics

• Generates and interprets a wide range of statistical data and reports.
• Utilizes in-depth knowledge of several statistical tools or applications.
• Consults and coaches others on sampling approaches and associated statistical significance.

Innovation

• Finds new or non-traditional ideas to improve effectiveness in teams area of responsibility.
• Guides team members in the development and fulfillment of proposed innovations.
• Fosters a team culture that encourages exploration of non-traditional ideas.
• Implements strategies for renewing or deepening change efforts.

Continuous Transformation

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

Talent Management

• 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 highimpact data and analytics talent.

Leadership

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

Matrix Management

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

Machine Learning

• Completes specific tasks and initiatives utilizing machine learning technologies such as search engine optimization.
• Utilizes specific tools and techniques to process descriptive and inferential statistics.
• Applies specific computing languages and tools in machine learning such as R and Python.
• Explores to use machine learning to make improvements.
• Conducts data mining and cleaning initiatives.

Additional Information:

• Primary location: Peoria IL
• This is a fully onsite role Monday to Friday in office.
• To support a Global Business there may be a requirement to travel up to 5%.
• Relocation is offered to those who qualify.
• Sponsorship will not be offered.

Summary Pay Range:

Compensation and benefits offered may vary depending on multiple individualized factors job level market locationjob-related knowledge skills individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility terms and guidelines. This is a summary list of benefits.

• 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

* These benefits also apply to part-time employees

Posting Dates:

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

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