Manager Information Technology

Caterpillar · Bengaluru

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IT Manager – Machines Order Management

Job Description

We are seeking an IT Manager – Machines Order Management to join our Technology, Digital and Data organization.

The preference for this role is to be based out of Bangalore – Caterpillar PSN / Chennai - WTC

This position requires candidate to work a 5-day -a -week schedule.

Shift Timing: 01:00-10:00PM IST

The IT Manager will provide people, technology, solution, delivery, and operational leadership for technology capabilities supporting Machines Order Management. The successful candidate will lead a team of approximately 4–5 Solution Analysts responsible for supporting, enhancing, and modernizing business-critical Order Management solutions.

This role will establish clear priorities and accountability across the team, develop functional and technical capabilities, partner with business and technology stakeholders to understand evolving needs, and ensure effective delivery and ongoing health of Order Management solutions.

The IT Manager will work closely with business stakeholders, Solution Analysts, Product Owners, Solution Architects, engineering teams, data and integration teams, application support teams, and strategic technology partners. The role requires the ability to understand business processes and technology dependencies across an integrated enterprise landscape while providing leadership from strategy and solution definition through delivery, deployment, and operational support.

The successful candidate will combine strong people leadership, business acumen, technical understanding, delivery discipline, stakeholder management, and a digital and AI mindset to build a high-performing team and deliver measurable business value.

What You Will Do

People and Capability Leadership

• Lead, coach, and develop a team of approximately 4–5 Solution Analysts supporting Machines Order Management capabilities.
• Establish clear roles, responsibilities, application ownership, business capability ownership, goals, and performance expectations across the team.
• Develop team capabilities in business-process knowledge, functional analysis, application expertise, solution analysis, data, integration, AI, automation, and emerging technologies.
• Provide regular coaching, feedback, mentoring, and career-development opportunities.
• Build functional and technical depth within the team and increase the team's ability to independently own and support Order Management solutions.
• Promote cross-training, succession planning, knowledge sharing, and documentation to reduce dependency on individual subject-matter experts.
• Assess team capacity, skills, and capability requirements and proactively address gaps affecting delivery or operational support.
• Foster an environment of accountability, collaboration, innovation, inclusion, continuous learning, and proactive problem solving.
• Develop future technology leaders by providing meaningful ownership and opportunities for increased responsibility.

Machines Order Management Technology Leadership

• Provide technology leadership for assigned capabilities across the Machines Order Management landscape.
• Develop a strong understanding of end-to-end Order Management processes, business priorities, user needs, technology dependencies, operational challenges, and desired outcomes.
• Provide leadership across capabilities such as product configuration, order intake, pricing, scheduling, fulfillment, shipment, invoicing, dealer collaboration, and order visibility.
• Ensure technology priorities align with business objectives, enterprise architecture, technology strategy, and operational needs.
• Establish clear ownership and governance across applications and business capabilities.
• Ensure business needs are evaluated from an end-to-end process and technology perspective rather than within individual applications.
• Partner with architecture and engineering teams to drive scalable, secure, resilient, maintainable, and supportable solutions.
• Identify opportunities to simplify and modernize the Order Management technology landscape.
• Balance delivery of new capabilities with operational stability, modernization, technical debt, cybersecurity, controls, and application health.

Business Partnership and Technology Strategy

• Build trusted relationships with Order Management business leaders, process owners, product leaders, and technology stakeholders.
• Understand business strategy, challenges, and priorities and translate them into appropriate technology capabilities and investments.
• Provide technology guidance and thought leadership regarding solution opportunities, risks, dependencies, and trade-offs.
• Facilitate roadmap, prioritization, process-design, and solution discussions with business and technology stakeholders.
• Partner with Product Owners and business stakeholders to align technology capacity and investment with the highest-value business priorities.
• Develop and communicate technology roadmaps for assigned Order Management capabilities.
• Ensure technology investments have clear expected business outcomes and appropriate measures of success.
• Communicate technology strategy, delivery progress, application health, risks, dependencies, and investment needs to stakeholders and leadership.
• Provide fact-based recommendations when priorities, business needs, and technology constraints compete.

Solution and Architecture Leadership

• Guide Solution Analysts in understanding business problems, processes, requirements, and desired outcomes before defining technology solutions.
• Ensure appropriate analysis is performed across processes, applications, integrations, APIs, data, controls, and upstream and downstream dependencies.
• Partner with Solution Architects, engineers, and other technology specialists to evaluate solution options and technical trade-offs.
• Ensure solutions align with enterprise architecture, cybersecurity, data, integration, and technology standards.
• Promote reuse, standardization, simplification, and sustainable enterprise solution patterns.
• Challenge unnecessary customization and technical complexity.
• Ensure solutions appropriately consider scalability, resiliency, security, performance, monitoring, maintainability, and supportability.
• Ensure technical debt and architectural risks are understood and incorporated into technology planning.
• Provide leadership and escalation support for complex issues spanning multiple applications or business capabilities.

Delivery and Execution Leadership

• Provide leadership and accountability for successful delivery of Order Management technology capabilities.
• Ensure effective coordination across Solution Analysts, Product Owners, architects, engineers, testers, support organizations, and technology partners.
• Establish disciplined delivery practices for planning, requirements, decision management, issue resolution, risk management, testing, deployment, and stabilization.
• Ensure functional requirements and technical objectives remain aligned with intended business outcomes.
• Monitor delivery progress and proactively address risks, dependencies, resource constraints, and barriers.
• Coordinate dependencies across Order Management applications and related enterprise capabilities.
• Ensure appropriate functional, technical, business, security, and operational readiness before production deployment.
• Promote automation of software delivery and testing where appropriate.
• Ensure delivered capabilities transition successfully into ongoing application ownership and operational support.
• Drive continuous improvement in planning, analysis, development, testing, release management, and technology delivery practices.

AI, Automation and Digital Enablement

• Champion the practical use of Artificial Intelligence, Generative AI, Agentic AI, machine learning, intelligent automation, workflow automation, and advanced analytics across Order Management processes and technology operations.
• Identify business and technology processes that can be simplified or improved through AI and automation.
• Build AI and automation skills within the Solution Analyst team and encourage experimentation within appropriate enterprise controls.
• Partner with business, architecture, data, engineering, and cybersecurity teams to evaluate AI and automation opportunities based on value, feasibility, scalability, data readiness, security, and operational risk.
• Incorporate AI, automation, and data-driven capabilities into technology roadmaps and improvement opportunities.
• Identify repetitive, manual, high-volume, or error-prone activities that are candidates for automation.
• Explore responsible applications of AI and automation to requirements analysis, testing, production support, monitoring, knowledge management, operational insights, and employee productivity.
• Promote reusable and sustainable enterprise automation approaches rather than isolated point solutions.
• Ensure AI-enabled solutions align with applicable enterprise architecture, data, security, governance, and responsible AI expectations.
• Establish measures for adoption, productivity improvement, operational performance, and business value from AI and automation initiatives.

Operational Excellence and Application Health

• Maintain visibility to production incidents, recurring defects, application performance, technology risks, technical debt, and improvement opportunities.
• Ensure significant and recurring production issues receive appropriate root-cause analysis and corrective action.
• Use operational trends, business feedback, and product-health measures to guide technology priorities.
• Ensure the team balances delivery of new business capabilities with reliability, security, maintainability, and operational sustainability.
• Partner with engineering and support teams to continually improve service quality and application stability.

Strategic Stakeholder and Partner Management

• Serve as a trusted technology partner to business leaders and key stakeholders within Machines Order Management.
• Build productive relationships across business, product, architecture, engineering, data, cybersecurity, application support, and partner organizations.
• Operate effectively within a globally distributed and matrixed organization.
• Communicate complex technology concepts, options, risks, and trade-offs in clear business terms.
• Provide transparent communication regarding priorities, progress, application health, risks, investment needs, and expected outcomes.
• Manage technology partner contributions and ensure alignment with delivery commitments, technology standards, product priorities, and quality expectations.
• Resolve competing priorities through fact-based decision making and appropriate escalation.
• Influence outcomes across teams and organizations beyond direct reporting relationships.

Governance, Security, Risk and Controls

• Ensure technology solutions comply with applicable enterprise architecture, cybersecurity, data, privacy, change-management, and application-lifecycle expectations.
• Integrate governance and control requirements into technology planning and delivery.
• Partner with architecture, cybersecurity, data, risk, and support organizations to address identified vulnerabilities and control gaps.
• Promote appropriate governance for AI and automation, including consideration of security, data use, accuracy, human oversight, and operational risk.

What You Will Have

• Bachelor's degree in Computer Science, Information Technology, Engineering, Business Information Systems, Data and Analytics, or a related discipline.
• Significant experience delivering, operating, or leading complex enterprise technology solutions.
• Experience in IT Management, Technical Product Management, Solution Leadership, Application Management, Technology Delivery, or a comparable leadership role.
• Demonstrated experience leading, coaching, mentoring, and developing technical or functional professionals.
• Experience directing Solution Analysts, Business Analysts, application SMEs, engineers, or similar technology professionals.
• Strong understanding of end-to-end business processes and the ability to connect business needs with technology solutions and outcomes.
• Experience establishing technology priorities, roadmaps, delivery plans, and application-health strategies.
• Experience working across business stakeholders, product teams, architects, engineers, testers, data teams, application support organizations, and technology partners.
• Strong understanding of enterprise applications, integrations, APIs, data flows, cloud platforms, and interconnected technology ecosystems.
• Experience with Agile software delivery and modern technology-delivery practices.
• Ability to understand solution architecture and communicate complex technical choices, risks, dependencies, and trade-offs to technical and business audiences.
• Experience managing production applications, operational risks, technical debt, modernization, and continuous improvement.
• Strong analytical, problem-solving, decision-making, prioritization, facilitation, and stakeholder-management capabilities.
• Ability to lead successfully across organizational and geographic boundaries.
• Excellent written and verbal communication skills.

AI and Automation Skills Required

• Demonstrated understanding of Artificial Intelligence, Generative AI, Agentic AI, machine learning, intelligent automation, workflow automation, analytics, and emerging digital technologies.
• Ability to identify business and technology opportunities where AI or automation can improve productivity, quality, user experience, decision making, or operational performance.
• Experience evaluating AI and automation opportunities based on value, feasibility, data readiness, scalability, controls, security, and operational risk.
• Ability to translate business problems into AI-enabled, automation, analytics, workflow, or broader digital opportunities.
• Understanding of responsible AI considerations including data protection, security, accuracy, transparency, human oversight, and governance.
• Experience working with or leading automation initiatives involving workflow automation, RPA, automated testing, intelligent document processing, AI-enabled productivity, or comparable technologies.
• Ability to incorporate AI and automation into technology strategies, roadmaps, team development plans, and continuous-improvement initiatives.
• Ability to partner effectively with AI, data, architecture, engineering, cybersecurity, and business teams to implement sustainable enterprise solutions.
• Strong digital mindset with a demonstrated commitment to learning and applying emerging technologies.

Preferred Qualifications

• Experience with Order Management, manufacturing, supply chain, product configuration, customer or dealer ordering, pricing, scheduling, fulfillment, shipment, invoicing, or order visibility.
• Previous experience managing an application development, solution analysis, business systems, or technology product team.
• Experience with technology capabilities spanning multiple integrated enterprise applications.
• Experience working in large-scale enterprise application, data, integration, and cloud environments.
• Experience with SAP, Salesforce, AWS, Snowflake, APIs, middleware, Power BI, Power Platform, or related enterprise technologies.
• Experience modernizing legacy applications, integration architectures, or business processes.
• Experience leading globally distributed teams and external technology partners.
• Experience developing technology roadmaps, investment proposals, business cases, and value-realization measures.
• Experience implementing or leading AI, automation, analytics, or machine-learning initiatives.
• Experience with automated testing, DevOps, continuous integration and delivery, and modern application-monitoring practices.
• Relevant Agile, ITIL, PMP, cloud, data, automation, AI, or technology-leadership certifications.
• Experience operating within a complex global and matrixed organization.

Critical Success Factors

• People and Organizational Leadership
• Talent and Capability Development
• Machines Order Management Business Acumen
• Technology Strategy and Product Thinking
• Technical and Architectural Acumen
• Systems Thinking
• AI and Automation Mindset
• Strategic Thinking
• Decision Making and Prioritization
• Stakeholder Influence
• Cross-Functional Collaboration
• Delivery and Execution Excellence
• Operational Excellence
• Change Leadership
• Continuous Improvement
• Ownership and Accountability
• Results and Business Value Focus

Skills Desired

Organizational Leadership

Knowledge of leadership concepts and ability to use strategies and skills to align, develop, motivate, and hold others accountable for achieving objectives.

• Translates technology and business strategy into clear team objectives and priorities.
• Establishes clear roles, responsibilities, standards, and accountability.
• Coaches and develops employees through feedback, development planning, and meaningful assignments.
• Evaluates team capacity and capabilities against current and future technology needs.
• Builds cross-training, knowledge sharing, and succession practices.
• Creates a culture centered on accountability, collaboration, innovation, continuous improvement, and business outcomes.

Technology Management

Knowledge of technology-management practices; ability to lead technology capabilities, teams, solutions, delivery, and operations in support of business objectives.

• Aligns technology capabilities and investments with business priorities.
• Develops and communicates technology direction and roadmaps.
• Balances feature delivery, modernization, application health, technical debt, risk, and operational stability.
• Establishes clear accountability for technology solutions and services.
• Evaluates technology alternatives and associated business and operational impacts.
• Uses appropriate measures to evaluate technology performance and business value.

Decision Making and Critical Thinking

Knowledge of decision-making processes and associated tools and techniques; ability to analyze complex situations and reach productive decisions based on informed judgment.

• Differentiates facts, assumptions, constraints, risks, and stakeholder perspectives.
• Evaluates alternative solutions and predicts potential business and technology impacts.
• Uses data, operational information, architecture guidance, and business priorities to inform decisions.
• Advises others in analyzing information and assessing alternatives.
• Uses appropriate consultative, collaborative, or directive decision-making approaches.
• Communicates decisions, trade-offs, rationale, and expected outcomes clearly.

Artificial Intelligence and Intelligent Automation

Knowledge of AI, Generative AI, Agentic AI, machine learning, analytics, workflow automation, and intelligent automation; ability to guide responsible adoption and business-value realization.

• Identifies business and technology activities that can benefit from AI, analytics, or automation.
• Evaluates opportunities based on business value, feasibility, scalability, data readiness, governance, and risk.
• Guides teams in translating business challenges into AI-enabled and automated solution opportunities.
• Partners with technical specialists to define appropriate enterprise approaches.
• Promotes responsible use of AI aligned with enterprise security, architecture, data, and governance expectations.
• Establishes measures for adoption, productivity, operational improvement, and business value.
• Develops AI and automation capability within the organization.

Systems Thinking

Knowledge of systems-thinking principles; ability to understand relationships among business processes, applications, integrations, data, users, and technology decisions.

• Evaluates technology changes from an end-to-end business and technology perspective.
• Identifies upstream and downstream dependencies and potential unintended impacts.
• Differentiates underlying root causes from symptoms.
• Guides teams away from isolated point solutions toward sustainable enterprise approaches.
• Connects business decisions with application, integration, data, and operational impacts.
• Uses system-level understanding to guide strategy, priorities, solution decisions, and risk management.

IT Project and Delivery Management

Knowledge of technology-delivery principles; ability to organize, direct, monitor, and control technology initiatives using appropriate technical and business resources.

• Aligns technical objectives, requirements, delivery plans, resources, and intended business outcomes.
• Identifies and addresses delivery risks, dependencies, resource constraints, and issues.
• Monitors delivery performance and intervenes when commitments or outcomes are at risk.
• Coordinates work across analysts, architects, engineers, testers, business stakeholders, support teams, and technology partners.
• Establishes effective governance, decision management, issue management, and status communication.
• Ensures delivered capabilities meet appropriate quality, operational-readiness, and business expectations.

IT Standards, Procedures and Policies

Knowledge of enterprise IT standards and policies; ability to ensure technology strategy, solutions, delivery, and operations align with organizational requirements.

• Applies relevant architecture, security, data, privacy, change-management, and application-lifecycle expectations.
• Guides teams in incorporating standards and controls into solution design and delivery.
• Identifies and appropriately escalates conflicts between business needs and technology requirements.
• Partners with governance organizations to address risks and establish sustainable solutions.
• Monitors adherence to technology standards throughout solution delivery and operations.
• Promotes consistent application ownership, documentation, support, and governance practices.

Stakeholder Management

Knowledge of stakeholder-management principles; ability to build relationships, manage expectations, communicate effectively, and influence decisions across organizational boundaries.

• Establishes trusted relationships with business and technology leaders.
• Communicates technology direction, priorities, risks, dependencies, investments, and outcomes clearly.
• Facilitates complex discussions involving competing priorities and technology constraints.
• Influences decisions across global and matrixed organizations.
• Creates transparency around delivery commitments, risks, application health, and technology investments.
• Resolves conflicts through fact-based analysis, collaborative problem solving, and clear decision ownership.

Change Leadership

Knowledge of organizational and technology change principles; ability to lead teams and stakeholders successfully through changes in technology, operating practices, roles, and ways of working.

• Clearly communicates the purpose and expected outcomes of significant changes.
• Identifies organizational, technology, and operational impacts.
• Engages stakeholders early and addresses resistance or uncertainty constructively.
• Builds team capabilities required by new technologies and operating models.
• Reinforces adoption through leadership, measurement, feedback, and continuous improvement.
• Creates an environment where teams proactively identify and embrace valuable change.

Skill Descriptors
Business Acumen: Knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations.
Level Basic Understanding:

• Works to understand the business priorities of internal and external clients.
• Describes profitability drivers and considerations.
• Describes desired or actual business results in measurable scales or terms.
• Explains how the organization makes money.

Information Technology Trends: Knowledge of marketplace experience, developments and trends related to the organization's use of Information Technology (IT); ability to apply knowledge of IT appropriately to benefit the organization.
Level Extensive Experience:

• Compares organization's technology practices to other organizations.
• Discusses organizational position in relation to technology-related trends.
• Cites examples of successful organization initiatives and underlying technologies.
• Presents alternative views of key technologies and their implications.
• Highlights organizational implications associated with major IT trends.
• Advises key lines of business on major advances in technology and implications.

Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Extensive Experience:

• Seeks discrepancies and inconsistencies in available information; explains variances.
• Organizes and prioritizes the sequence of steps to be taken to remedy the situation.
• Identifies many possible causes for a problem based on prior experience and current research.
• Quantifies the costs, benefits, risks and chances for success before recommending a course of action.
• Approaches a complex problem by breaking it down into its component parts.
• Chooses among a diverse set of analytical tools according to the nature of the situation.

Talent Management: Knowledge of the critical competencies required to achieve intended results; ability to generate consistent approaches for hiring, selection, retaining and leveraging talent across the organization.
Level Working Knowledge:

• Recommends improvements to talent management initiatives based on analysis of data on their effectiveness.
• Maintains strong relationships with formal and informal mentors.
• Implements systems and methods for supporting talent management programs.
• Negotiates for key developmental experiences and transitional experiences.
• Introduces contacts from personal and professional networks to hiring managers.

Leadership: Knowledge of leadership practices and processes; ability to use strategies and skills to enlist others in setting, embracing and achieving objectives while having a long-term perspective of the future state of things and how to get there.
Level Extensive Experience:

• Translates vision into specific functional or departmental initiatives.
• Uses a normative decision model (with leadership styles and situational variables) to select style.
• Promotes efficacy through monitoring, coaching & motivating subordinates, intervention, etc.
• Uses emotional contagion to affect the mood of group members, tone of group and group processes.
• Initiates structure: role clarification, setting standards, holding subordinates accountable, etc.
• Employs various group decision-making methods depending on the situation.

Vendor/Supplier Management: Knowledge of external provider management processes and ability to effectively manage the business relationship with external providers (e.g. vendors, service providers, contractors, consultants and suppliers).
Level Extensive Experience:

• Manages actual and perceived conflict of interest issues.
• Monitors and communicates vendor effectiveness, reliability and performance.
• Influences existing and new vendor relationships and the approved vendor list.
• Interprets documents detailing service provisions and financial arrangements.
• Explains case studies of effective and ineffective partnering relationships and lessons learned.
• Advises others on the issues and considerations for working with new vendors, suppliers or partners.

IT Service Management (ITSM): Knowledge of Information Technology (IT) service; ability to manage IT services and oversee service operations.
Level Expert:

• Oversees the establishment and use of best practices in IT service management.
• Leads in the development of information technology and personal technical skills.
• Promotes the use of standard procedures in each function of IT services.
• Creates criteria to measure professional services; ensures the quality of IT services.
• Forecasts technological industry trends and potential risks in IT service management.
• Provides insight into system optimization and development of process-focused IT services.

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