Top Tech Jobs & Startup Jobs

Leads enterprise marketing technology architecture and multi-year roadmaps across content, digital experience, PIM, commerce, analytics, personalization, identity, and omnichannel platforms. Designs application, data, integration, and infrastructure architectures; guides platform strategy, governance, security, privacy, and lifecycle management. Partners with marketing, product, data, security, and engineering teams, evaluates technologies, leads architecture reviews, resolves complex design issues, directs delivery partners, and mentors technical talent while aligning investments to measurable business outcomes.

Leads business intelligence and analytics initiatives for Caterpillar’s components organizations. Partners with stakeholders to identify opportunities, gather requirements, prioritize roadmaps, and deliver Power BI, Sigma, Snowflake, web application, automation, and AI solutions. Oversees portfolio governance, communications, risk management, milestone tracking, process improvement, and adoption while translating business needs into scalable, data-driven solutions across engineering, supply chain, manufacturing, commercial, and product teams.

Own and evolve dealer-facing product strategy and roadmap for Cat Rentals. Translate dealer and rental business needs into scalable Dynamics 365 and AI-enabled solutions, prioritize backlog, define future workflows, partner with Microsoft/Accenture/engineering, and measure KPIs to improve dealer responsiveness, automation, and customer satisfaction.

Leads digital projects from concept through implementation, managing schedules, budgets, teams, change control, reporting, and decision-making. Serves as Product Owner by defining product vision, creating and prioritizing the backlog, communicating priorities, and guiding Scrum teams toward sprint objectives. Requires extensive Azure DevOps experience and collaboration with software engineering teams in an agile environment.

Leads the technical vision, architecture, and delivery of enterprise search analytics and ontology solutions for ecommerce. Manages and mentors software engineering teams, integrates platforms, oversees IT service operations and quality, and improves search relevance using NLP, vector search, personalization, machine learning, and performance KPIs. Partners with product, data science, and engineering leaders while driving ontology, metadata, governance, and semantic search adoption across digital commerce.

Leads discovery, design, deployment, governance, and adoption of Microsoft Copilot Agents, Power Platform automations, and Dynamics 365 omnichannel customer support solutions. Maintains IVR, chat, phone, SMS, email, and self-service channels; monitors KPIs and digital performance; provides recommendations; trains stakeholders; and serves as a Copilot Studio and AI subject matter expert.

Leads the design, development, deployment, and monitoring of advanced analytics, machine learning, and AI solutions for Caterpillar’s Remanufacturing Division. Applies statistical modeling, forecasting, optimization, simulation, and experimentation to business problems. Builds production-ready analytics products using Python, cloud, data, and reporting technologies. Partners with stakeholders and data engineering teams, establishes data science standards, leads Agile execution, and mentors team members while promoting governed, maintainable, and reusable analytical solutions.

Analyze large datasets to identify trends, root causes, and business opportunities. Support data-driven decisions through reporting and insights, manage Snowflake views and data access, troubleshoot Power BI dashboards, resolve reporting issues, and collaborate with IT, development, and cross-functional teams to improve analytics, data processes, and inventory-related business solutions.

Leads Caterpillar’s Condition Monitoring Analytics Transformation team and portfolio. Manages 8–12 data scientists while providing hands-on technical guidance on machine learning, AI, predictive maintenance, failure modeling, evidence clustering, persona modeling, and closed-loop learning. Collaborates with commercial, product, engineering, R&D, and MLOps teams to deploy scalable analytics solutions, prioritize resources, drive innovation, and develop team talent.

Lead and define end-to-end perception architecture for autonomous machine systems. Own sensor integration, sensor fusion, perception ML, scene understanding, data flow, validation, and safety. Guide a Perception Architecture Team, create roadmaps, drive architecture tradeoffs for edge deployment, and partner cross-functionally to ensure perception is deployable, testable, and safe in real-world jobsites.