Lead Consultant

Mindsprint; Chennai District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Mindsprint's BTS team helps clients transform asset reliability and maintenance excellence through data-driven solutions across sectors including Food & Agri, CPG, Life Sciences, Chemicals and Manufacturing.

The role delivers Asset Reliability, Maintenance Excellence, Asset Master Data and Smart Factory transformations, from diagnostics to solution design, implementation, and value realization, while mentoring analysts and supporting business development.

Qualifications

• 6+ years of industry experience with a focus on Asset Reliability and Maintenance.
• Strong understanding of TPM, RCM, RBM, Preventive & Predictive Maintenance.
• Experience with SAP PM / EAM and Master Data structures.
• Exposure to analytics and visualization tools like Power BI/Tableau/Python.

Responsibilities

• Improve Asset Availability, Reliability and Maintenance effectiveness.
• Collaborate with clients to analyze Maintenance & Operations data and identify gaps.
• Conduct Maintenance maturity assessments and reliability benchmarking.
• Design and implement Reliability improvement programs (TPM, RBM, RBM, RBM).
• Support SAP PM processes and Asset Master Data initiatives.

Skills

Asset Reliability

Maintenance Excellence

Industrial Consulting

Strong communication

Stakeholder management

Education

Six Sigma Green Belt/Black Belt

Tools

SAP PM / EAM

Power BI

Tableau

Python

Job description

About Mindsprint Business Transformation Services (BTS) team

BTS team empowers clients to achieve transformative business outcomes through Technology-driven solutions across Supply Chain. Our focus is on delivering tangible business outcomes that significantly enhance shareholder value.

Key Engagement Areas:

• Asset Reliability Management: Drive Reliability improvement programs through Maintenance Strategy Optimization, Asset Criticality assessment, Preventive and Predictive Maintenance, and Reliability-Centered Maintenance (RCM) approach.
• Maintenance Excellence: Support clients in establishing World-class Maintenance practices, improving Equipment uptime, reducing Maintenance costs and enhancing Asset Lifecycle Performance.
• SAP PM: Advise clients on SAP Plant Maintenance (PM) processes, Asset Master data, Maintenance Planning and Scheduling, Work Management and Mobility solutions.
• Smart Factory & Industry 4.0: Advise clients on Smart Factory strategies, Connected Operations, Digital Maintenance, Industrial IoT, Predictive Analytics, AI-enabled Maintenance and Integration of OT/IT systems to improve Asset Performance and Operational Efficiency.
• Business Process Transformation: Drive Process improvement initiatives leveraging Lean, TPM, Six Sigma and best-practice frameworks.
• Value Management: Develop business cases, implementation roadmaps and governance mechanisms to ensure sustainable value realization.
• Change Management: Drive adoption of new Maintenance Processes, Technologies, and Operating Models through structured Change Management approaches.

Job Description:

The role involves delivering Asset Reliability, Maintenance Excellence, Asset Master Data and Smart Factory transformation projects for clients across Food & Agri, CPG, Life Sciences, Chemicals, Metals & Mining and Manufacturing industries.

The role will involve conducting data & maturity assessments, developing recommendations, supporting solution design and driving implementation of improvement initiatives. Projects typically involve an initial diagnostic and advisory phase followed by execution and value realization support.

In addition to project delivery, the role requires managing client relationships, mentoring analysts and contributing to business development activities.

Key Responsibilities:

• Support clients in improving Asset Availability, Reliability and Maintenance effectiveness through structured Asset Reliability and Maintenance Excellence programs.
• Collaborate with client and internal teams to collect and analyze Maintenance & Operations data to identify improvement opportunities and performance gaps.
• Conduct Maintenance maturity assessments, Reliability Benchmarking and Maintenance process reviews.
• Support the design and implementation of Reliability improvement programs including TPM, Preventive Maintenance, Predictive Maintenance, Reliability-Centered Maintenance (RCM), and Risk-Based Maintenance (RBM).
• Assess and optimize SAP PM processes including Work Order management, Planning & Scheduling, Shutdown management, Maintenance reporting and Performance monitoring.
• Support Asset Master Data initiatives covering Equipment Masters, Asset hierarchies, Functional Locations, Material Masters, Maintenance BOMs, Task Lists and Maintenance Plans.
• Facilitate workshops with clients to identify challenges, validate findings and jointly develop improvement roadmaps and solution hypotheses.
• Evaluate Smart Factory and Industry 4.0 opportunities including IoT, Predictive Maintenance, Connected Worker solutions, Digital Work management, Advanced analytics, and AI-enabled Maintenance.
• Support the development of Smart Factory roadmaps and business cases for Technology-enabled transformation initiatives.
• Develop process documentation, business cases, operating models, implementation roadmaps and executive presentations.
• Establish and support project governance structures, track implementation progress and monitor value realization.
• Support proposal development, solutioning and business development activities.
• This role may involve a significant amount of travel (3050%).

Profile Description:

• Overall 6+ years of industry experience with a minimum of 4 years in Asset Reliability, Maintenance Excellence, Manufacturing Operations or Industrial Consulting.
• Strong understanding of Maintenance and Reliability principles, including TPM, RCM, RBM, Preventive Maintenance, Predictive Maintenance and Asset Lifecycle Management.
• Strong understanding of Smart Factory and Industry 4.0 concepts, including IoT, Connected Worker, Digital Twin, Predictive Maintenance, AI/ML, Advanced Analytics and Manufacturing Execution Systems (MES).
• Hands-on experience or strong functional understanding of SAP PM / Enterprise Asset Management (EAM) processes and Master Data structures.
• Proven track record of delivering Operational Excellence, Reliability improvement and Maintenance Transformation programs.
• Strong analytical, problem-solving and stakeholder management skills.
• Experience facilitating client workshops and managing cross-functional teams.
• Good Knowledge of SAP S/4HANA Asset Management, SAP Fiori applications and Digital Maintenance solutions.
• Six Sigma Green Belt/Black Belt, CMRP or equivalent Reliability certifications are preferred.
• Exposure to analytics & visualization tools such as Power BI, Tableau, Python or Reliability Analytics platforms is an advantage.
• Excellent communication, presentation and client management skills.