Senior manager-Manufacturing (MES) & IOT- India

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY GDS - Supply Chain and Operations (SC&O) : Digital Manufacturing (MES) - Senior Manager

As part of our EY GDS - SC&O team, you will help clients to improve the performance of their supply chain. Working with EY GDS-SC&O proprietary frameworks, you will help clients to improve reliability, flexibility and responsiveness of their supply chain whilst reducing the total cost. Typical role representation would include developing digital manufacturing solution, developing assets / tools and coming up with thought leadership.

The opportunity

We're looking for a Senior Manager with an expertise in Digital Manufacturing (MES) & IOT. This is a rapidly growing area, so you will have plenty of opportunity to spread your wings and develop your skillset to keep up with the ever-growing demands of the digital landscape. Most of your time will be spent embedded with our clients' team and we'll look to you to provide our clients with a unique business perspective on how they must continue to innovate and remain competitive in this ever-changing industry. You should be willing to support the US, EU and other onsite teams as per their time convenience (though not always). High degree of flexibility desirable. You may need to travel onsite at the go to study client processes and come out with solutions & quick fixes.

Your key responsibilities

• Define digitization footprint for Supply Chain, Global Manufacturing,
• Identify, define and execute projects for adapting latest technologies and futuristic tools.
• Support implementation of IIoT for assigned sites. Accountable for executing data analytics and visualization required for supply chain and factory digitization worldwide.
• Collaborate with technology team in effective execution of the digital manufacturing transformation initiatives at various sites
• Develop a global rollout plan for digital manufacturing solution / use cases implementation
• Define the deployment operating and governance model
• Provide expertise in deployment of high end technological initiatives like Control Tower, RPA,IQ-BOT,ML,AI, Data sciences and Data Engineering.
• Partner with SCM and Plant functions to understand the data control, analysis and visualization needs and provide sustainable solutions.

Skills and attributes for success

To qualify for the role, you must have

RPA & BPM - Blue Prism, Open Span, Automation Anywhere, UI Path, Aheyu, PEGA & others.

What we look for

What working at EY GDS offers

At EY GDS, we're dedicated to helping our clients, from start-ups to Fortune 500 companies - and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer :

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Skills Required

Pega, Iot, Watson, Ui Path, Open Span, data engineering , Data Analytics, Ai, Rpa, Ibm Bluemix, Automation Anywhere, Mes, Python, digital manufacturing