Asset Reliability Manager Job in Asea Brown Boveri Ltd.

Take the next step in your career at ABB, working in a team that is writing the digital future with ABB Ability. The ABB Ability Genix Industrial Analytics and AI Suite has been designed to unlock the value of data by combining ABB's deep industrial domain expertise with digital technology and capability to deliver a modular and scalable solution. The solution helps asset-intensive industries with complex processes make timely and accurate insight-driven decisions and respond rapidly to achieve high degree of optimization and control across the entire value chain leveraging Industry 4.0 principles.

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. With a history of excellence stretching back more than 130 years, ABB has been a pioneer through the four Industrial revolutions and is at the forefront of the Industry 4.0. By delivering digitalization to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels.

This is a Asset Reliability Manager role, reporting to the Head of Solution & Value Engineering in business area Industrial Automation (IA) located in Bangalore. You will be working at Ability Innovation Center (AIC), home to the largest technology and engineering pool in ABB globally and is a part of ABB Global Industries and Services Private Limited, a subsidiary of ABB. It is based in Bangalore, the silicon-valley of India. Its unique infrastructure places research, development, engineering, and service teams under one roof, increasing collaboration and reducing time to market, with no compromise on quality.

If you are looking for an environment that actively blends the boundaries between technology, data, domain and Industrial AI to create next generation analytics solutions for processes automation customers and helping them on their journey towards autonomous operations, then this is the team for you. Join ABB and harness the power of our diverse global network, as you collaborate with and learn from our world-class teams. Above all, challenge yourself every day. Lets write the future, together.

Your responsibilities

• Identifying, documenting, creating boundary condition definitions and articulating the business value proposition for industrial automation digital solutions.
• Collaborating effectively with different business units within the organization to collate the knowledge and customer expectations for evaluation and consideration for solution development.
• Conceptualizing digital solutions and develop working prototypes for evaluation and customer demonstration.
• Developing scenarios for application of Machine Learning / Artificial Intelligence with the cross-functional data and developing base algorithm for different scenarios.
• Conceptualizing designs for value engineering scenarios to incorporate in digital transformation solutions in the asset performance management, reliability, RCM, CBM, predictive maintenance etc.
• Working closely with customers and business units to architect and develop customer centric solutions tailored to their requirements.
• Providing industry specific domain insights for rich proposal responses by articulating customer value proposition.
• Living ABBs core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your background

• M.Tech/B.E/B.Tech in Computer Science or Electrical or Electronics or Instrumentation from a reputed institution.
• Required 15 years of overall work experience in reliability domain with significant portion in the refinery / petrochemical/chemical/process domain.
• Strong experience in maintenance & reliability, inspection programs, overhauling of major equipment e.g. Turbines, Pumps, Generators, Boiler and Furnace.
• Hands on experience in reliability matrix and standards, failures analysis, condition-based maintenance, plant MoC, RCM techniques such as RBM, FMECA, and MTBF analysis.
• Should have experience in risk analysis of critical process equipment (heat exchanger, columns, compressors, pump, pipelines etc.).
• Experience in planning of shutdowns/overhauls, asset life cycle management, CMMS, inspections.
• Experience in software applications in asset management applications like Maximo, Meridium, SAP PM.