Lead Systems/Data Architect - Power Product Management Strategist in , United States

Lead Systems/Data ArchitectThis role will be a key leadership role within the product management function and a critical part of the broader Gas Power cost imperative. The Lead Systems/Data Architect within product management will translate functional requirements and constraints from Stakeholders (Customers, Supply Chain, Partners, etc.) coupled with big data analytics to drive both product design and operational improvements. The ideal team member will have the mathematical and statistical expertise with a natural curiosity and creative mind geared towards problem solving. The Architect will mine, interpret, clean, and synthesize data (across technical, operational, and financial domains) from which to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data's full potential to influence the way we operate and serve our customers. They will drive configurability across the plant/product modules for cost effective business decisions optimizing the total value of our solutions while meeting market/customer needs. They will influence, collaborate, and work closely with the horizontal functional partners to achieve the optimal and effective decisions.Key DeliverablesWork as the lead data strategist, identifying, integrating, sorting, and placing the data infrastructure (e.g. parts ordering, customer need by dates, and logistics cycle times) needed for our product capabilities and competitiveness. This involves cross functional collaboration (e.g. information technology, sourcing, engineering, etc… teams) and strategy setting aimed at providing tactical process changes in the measurement methods and accuracy used to improve our performance against safety, quality, on time delivery, and cost.Execute large scale data analytics with clear methodological steps to help solve operational challenges (e.g. logistics network node optimization and consolidation across products) while outputting a set of strategic operational improvements (e.g. safety stock adjustment, lead time reductions, etc…) that reduce overall product landed cost while maintaining or improving quality and on time delivery.Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve predictive models (e.g. digital maintenance repair and outages or non-capital parts demand forecast) intended to provide planned signals to the operations teams to act on allowing for better operational execution while unlocking favorable financial benefits.Analyze historical and incoming data for trends and patterns (e.g. mean and standard deviation cost/part, part/supplier lead time fluctuations, cost of poor quality, transport equipment utilization rates, etc.…), and interpret data with clear output signals to the respective function to take action and create new cost out opportunities.Communicate analytic solutions with clarity to stakeholders and project manage/collaborate cross functionally towards implementing the necessary process improvements up to project realization.Basic QualificationsBachelor's degree in engineering, business, or related field4 years engineering experience or technical/operations disciplinesDesired CharacteristicsExperience working with programming (e.g. Python, SQL, R, VBA etc…) and other software (e.g. Tableau, Alteryx, Excel, etc…)Prior academic or work in systems engineeringMaster's (or higher) in engineering, business, or other technical disciplinesOutcome oriented with courage to challenge existing processes and redefine them for business benefitsProven thought leader/provocative thinkerExperience in systems engineering and systems thinking including concept development, system/product design, requirements management, risk management, etc... ; plant and systems level knowledgeAbility to manage multiple and significantly complex projects and assignments with a high level of autonomy and accountability for resultsUnderstands the technical nuances and complex interrelationships within a specified systemProficiency with data mining, mathematics, and statistical analysisAdvanced pattern recognition and predictive modeling experienceTechnical competency across systems, manufacturing, and processStrong analytic skills with an emphasis on critical, systems thinking, root cause analysis, and business case elaboration and analysisQuick learner and able to capture and apply new knowledge from other disciplines formally & informallyExperience in provisioning optimized design/function solutions, requirements-level contracting and supplier relationship managementGE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to , , , or , , , or expression, , , protected veteran status or other characteristics protected by law.GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).For candidates applying to a U.S. based position, the pay range for this position is between $104,000.00 and $173,400.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus.