Process Innovation Expert

Department Icon Data Science Analytics & Machine Learning
Posted: 2 months ago
4-8 years
Ahmedabad, Gujarat
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 2 months ago
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Job Description

A Snapshot of Your Day!

The Lean & Digital Transformation Expert drives operational excellence through Lean methodologies, advanced data analytics, digital solutions, and emerging AI technologies. The role is responsible for identifying improvement opportunities, eliminating waste, enabling data-driven decision-making, and accelerating digital transformation across various functions.

How Youll Make An Impact.

  • Lead Lean transformation initiatives across manufacturing and business processes using VSM, Kaizen, 5S, TPM, Standard Work and Problem Solving methodologies.
  • Facilitate cross-functional workshops to identify waste and improve flow, quality, productivity and delivery performance.
  • Drive process optimization projects with measurable productivity, cost, quality and safety benefits.
  • Establish and sustain Lean governance, KPI reviews and continuous improvement culture across the factory. Coach teams and leaders on Lean principles and operational excellence practices.
  • Build and maintain Power BI dashboards, KPI scorecards and digital management systems.
  • Collect, cleanse, analyze and interpret operational data from SAP, MES and other enterprise systems.
  • Perform statistical analysis to identify trends, bottlenecks, root causes and improvement opportunities.
  • Develop automated reporting solutions to eliminate manual data collection and reporting efforts.
  • Quantify business impact of improvement projects and monitor sustainability of gains.
  • Identify and implement digital transformation opportunities across shop-floor and business processes.
  • Support AI use cases such as visual inspection, document intelligence, predictive analytics, process automation and engineering productivity improvements.
  • Develop low-code/no-code solutions using Power Platform (Power Apps, Power Automate).
  • Drive adoption of Microsoft Copilot and AI-enabled productivity tools within business functions.
  • Work with IT, Digital, Engineering and Operations teams to define business requirements for digital solutions.
  • Evaluate emerging technologies and recommend applications that improve productivity, quality and customer value

What You Bring

  • BE/B.Tech in Mechanical, Industrial, Production, Manufacturing, Computer Science, Data Science or related discipline.
  • 4-8 years experience in Lean, Operational Excellence, Industrial Engineering, Manufacturing Excellence, Digital Transformation or Analytics functions.
  • Experience in manufacturing, heavy engineering, industrial products or process industries preferred.
  • Lean Six Sigma Green Belt mandatory; Black Belt preferred.
  • Experience in dashboard development and business analytics projects.
  • Exposure to AI, Machine Learning, Microsoft Copilot, Process Mining or Advanced Analytics would be an advantage.

About The Team

Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities. Candidates want to learn about the divisions they will be joining–the structure, how it works together, and the role it plays in driving Siemens Energys mission forward.

Who is Siemens Energy

At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies crafted in our research departments and factories drive the energy transition and provide the base for one sixth of the worlds electricity generation.

Our distributed team is committed to making balanced, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

  • All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age.
  • Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy as a part of CTC, tax saving measure
  • Flexi Pay empowers employees with the choice to customize the amount in some of the salary components within a defined range thereby optimizing the tax benefits. Accordingly, each employee is empowered to decide on the best Possible net income out of the same fixed individual base pay on a monthly basis

https://jobs.siemens-energy.com/jobs

Skills

Advanced AnalyticsData AnalyticsBusiness AnalyticsDashboard DevelopmentData ScienceMachine LearningPredictive AnalyticsProcess OptimizationAnalyticsAiCopilotPower AutomatePower PlatformProcess AutomationProcess Mining

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About Company

Siemens Energy is a leading energy technology company. They focus on sustainable energy solutions and provide a wide range of products, services, and solutions for the global energy industry.

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