Job Description
**Job Description Summary**
Come and join our powerful, unified force with the energy to change the world.
Gas Power business needs parts that are cost-competitive and on time. We provide the data to make that happen. Our team develops rigorous should-cost models for bought-out components in combined-cycle plants and digital tools that estimate both manufacturing cost and cycle time with high fidelity. With that transparency, we identify gaps between quotes and true cost, enable fact-based negotiations for deflation, and partner with suppliers and internal shops to address delivery and capacity constraints. The Should Cost digital team develops these tools inhouse addressing the emerging needs of Supply Chain.
In this role you will be owning a set of Should Cost/ process tools (Gas Power Digital Factory; ACE, Raw Material Demand Estimator etc..) demonstrate project leadership skills to achieve on time deliverables. In this role you will be working closely with Should Cost team, P2V, Sourcing and Mfg teams to align tool development charter with biz priorities. As the project leader for Cost tools, you will be responsible for on-time delivery of releases, automation, AI integration and user-experience upgrades. In addition the role also gives scope to innovate on building new digital tools & methods for should process application across SQDC & Sustainability pillars.
**Job Description**
**E** **ssential Responsibilities**
• Drive innovation to enhance existing Should process digital tools, lead them through implementation.
• Demonstrate ownership of Strategic Should Cost tools, build roadmap to enhance tool outcomes & user adoption.Translate the long-termtool roadmap into quarterly, monthly and weeklydeliverables for the team.
• ContributeAct as the operational lead forteGas Power Digital Factory development program with FTY =1
• Understand finance concepts that impact how cost is calculated and reported. Labor rates, Handling rates, Profit & SG&A, escalation, Unit cost reported etc.
• Establish strong partnerships with digital & infrastructures teams to build enterprise level system for should process.
• Partner with Gas Power Digital teams to drive AI integration with in Should Process tools portfolio.
• Identify AI use cases for Should Cost/Process tools to drive implementation.
• Drive adoption of agile and lean tools during development anddeployment process.
• Partner with supply chain, Should Cost, P2V, AME & Design teams, discuss any new manufacturing methods that need to be captured for cost, understand cost drivers with new technology concepts. Help design iterate for lowest cost based on supply chain & user feedback.
• Work closely with GP Should Cost team to provide support on new costing methods implementation & adoption
**Qualifications / Requirements**
• Bachelors orMasters degree in Mechanical/ Manufacturing/ Production Engineering from an accredited university or college
• Minimum3-5yearsofexperiencein working with **aPriori CMWB module** or any other engineering tools.Exposure to **aPriori** deployment and infrastructure, **aPriori** cost insightsis a plus
• Demonstrated expertise on python, jupytr and other big data analytics platforms
• Passionate towards learning costing, manufacturing methods & coding
• Ability toconnect with stakeholders from diverse domainsand provide technical leadership for high performing teams in a competitive and time sensitive environment
• Ability to work in a cross-functional environment
• Ability to learn new skills & deliver while learning
**Desired Characteristics**
• Experience in developing physics based cost tools, **_aPriori VPE customization and CSL coding_**
• Strong oral and written communication skills
• Strong interpersonal and leadership skills
**Additional Information**
**Relocation Assistance Provided:** Yes
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Come and join our powerful, unified force with the energy to change the world.
Gas Power business needs parts that are cost-competitive and on time. We provide the data to make that happen. Our team develops rigorous should-cost models for bought-out components in combined-cycle plants and digital tools that estimate both manufacturing cost and cycle time with high fidelity. With that transparency, we identify gaps between quotes and true cost, enable fact-based negotiations for deflation, and partner with suppliers and internal shops to address delivery and capacity constraints. The Should Cost digital team develops these tools inhouse addressing the emerging needs of Supply Chain.
In this role you will be owning a set of Should Cost/ process tools (Gas Power Digital Factory; ACE, Raw Material Demand Estimator etc..) demonstrate project leadership skills to achieve on time deliverables. In this role you will be working closely with Should Cost team, P2V, Sourcing and Mfg teams to align tool development charter with biz priorities. As the project leader for Cost tools, you will be responsible for on-time delivery of releases, automation, AI integration and user-experience upgrades. In addition the role also gives scope to innovate on building new digital tools & methods for should process application across SQDC & Sustainability pillars.
**Job Description**
**E** **ssential Responsibilities**
• Drive innovation to enhance existing Should process digital tools, lead them through implementation.
• Demonstrate ownership of Strategic Should Cost tools, build roadmap to enhance tool outcomes & user adoption.Translate the long-termtool roadmap into quarterly, monthly and weeklydeliverables for the team.
• ContributeAct as the operational lead forteGas Power Digital Factory development program with FTY =1
• Understand finance concepts that impact how cost is calculated and reported. Labor rates, Handling rates, Profit & SG&A, escalation, Unit cost reported etc.
• Establish strong partnerships with digital & infrastructures teams to build enterprise level system for should process.
• Partner with Gas Power Digital teams to drive AI integration with in Should Process tools portfolio.
• Identify AI use cases for Should Cost/Process tools to drive implementation.
• Drive adoption of agile and lean tools during development anddeployment process.
• Partner with supply chain, Should Cost, P2V, AME & Design teams, discuss any new manufacturing methods that need to be captured for cost, understand cost drivers with new technology concepts. Help design iterate for lowest cost based on supply chain & user feedback.
• Work closely with GP Should Cost team to provide support on new costing methods implementation & adoption
**Qualifications / Requirements**
• Bachelors orMasters degree in Mechanical/ Manufacturing/ Production Engineering from an accredited university or college
• Minimum3-5yearsofexperiencein working with **aPriori CMWB module** or any other engineering tools.Exposure to **aPriori** deployment and infrastructure, **aPriori** cost insightsis a plus
• Demonstrated expertise on python, jupytr and other big data analytics platforms
• Passionate towards learning costing, manufacturing methods & coding
• Ability toconnect with stakeholders from diverse domainsand provide technical leadership for high performing teams in a competitive and time sensitive environment
• Ability to work in a cross-functional environment
• Ability to learn new skills & deliver while learning
**Desired Characteristics**
• Experience in developing physics based cost tools, **_aPriori VPE customization and CSL coding_**
• Strong oral and written communication skills
• Strong interpersonal and leadership skills
**Additional Information**
**Relocation Assistance Provided:** Yes
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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