Manager Analytics Data Engineering Jobs (NOW HIRING)

Job Summary:
Caterpillar Inc. is a global team focused on progress and innovation, dedicated to building a better world. The Manager, Analytics & Data Engineering will lead a team of data professionals to deliver analytics, automation, and AI-driven solutions that enhance pricing strategies and business operations. This role requires strong leadership and technical skills to influence strategy and drive measurable business impact through advanced analytics.
Responsibilities:
• Lead and develop a global team of data scientists, data engineers, advanced analytics engineers, and machine learning professionals delivering analytics, and automation to business problems.
• Partner with business stakeholders to identify, scope, prioritize, and execute high-value analytics and AI opportunities that drive measurable business impact.
• Drive the adoption of advanced analytics, machine learning, automation, and AI capabilities across the Global Parts Pricing organization.
• Provide leadership, coaching, and career development for technical teams while building a strong analytics and Data Engineer talent pipeline.
• Translate complex business challenges into scalable data, analytics, and AI solutions aligned with enterprise goals.
• Manage key enterprise data assets to ensure data quality, governance, controls, and accessibility are maintained.
• Lead continuous improvement initiatives across Snowflake and AWS environments supporting aftermarket pricing analytics and operations.
• Monitor, communicate, and influence key business performance metrics through data-driven insights and recommendations.
Qualifications:
Required:
• Demonstrated experience leading and developing technical teams within Data Science, Data Engineering, Analytics Engineering, or Machine Learning environments.
• Proven ability to partner with business leaders to prioritize initiatives, manage stakeholder expectations, and deliver measurable outcomes.
• Experience influencing cross-functional teams and driving alignment across technical and non-technical audiences.
• Exceptional verbal and written communication skills with the ability to simplify complex analytical and technical concepts for all levels of the organization.
• Proven ability to present recommendations, insights, and business cases to senior leaders and stakeholders.
• Strong executive presence with the ability to influence strategic direction through data-driven decision making.
• Knowledge of advanced analytics, statistical modeling, machine learning, and AI principles.
• Ability to apply analytical thinking and problem-solving techniques to identify root causes and develop scalable solutions.
• Experience leveraging analytics, automation, and AI to solve complex business problems.
• Hands-on experience with Python.
• Hands-on experience with SQL.
• Hands-on experience with Snowflake.
• Hands-on experience with AWS Cloud Technologies.
• Experience working with enterprise data platforms, data engineering pipelines, and cloud-based analytics solutions.
• Familiarity with DevOps principles and deployment practices supporting analytics and AI solutions.
Preferred:
• Strong business domain knowledge in pricing, procurement, engineering, or related commercial functions.
• Experience leading teams that span Data Science, Data Engineering, Analytics Engineering, and Machine Learning disciplines.
• Previous hands-on analytics experience solving a wide range of business challenges across the value chain, from data engineering and analytics to AI-enabled decision support.
• Experience building and scaling machine learning and AI solutions in enterprise environments.
• Hands-on experience with AWS Bedrock.
• Hands-on experience with Dataiku.
• Hands-on experience with Aha!
• Experience influencing organizational strategy and driving adoption of advanced analytics and AI capabilities.
• Experience operating in large, matrixed organizations with global stakeholders.
Company:
For 100 years, we’ve been helping customers build a better, more sustainable world. Founded in 1925, the company is headquartered in Peoria Heights, USA, with a team of 10001+ employees. The company is currently Late Stage.