Lead Systems​/Data Architect - Power Product Management Strategist

Job Description Summary

This role will be a key leadership role within the product management function and a critical part of the broader Gas Power cost imperative. The 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.

• Work as the lead data strategist, identifying, integrating, sorting, and placing the data infrastructure needed for our product capabilities and competitiveness.
• Cross‑functional collaboration (e.g., information technology, sourcing, parts teams) and strategy setting aimed at providing tactical process changes in 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 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 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, 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.

• Bachelor’s degree in engineering, business, or a related field.
• 5 years engineering experience or technical/operations disciplines.

• Experience working with programming languages (e.g., Python, SQL, R, VBA), other software (e.g., Tableau, Alteryx, Excel), and AI tools.
• Prior academic or work in systems engineering.
• Master’s (or higher) in engineering, business, or other technical disciplines.
• Outcome oriented with courage to challenge existing processes and redefine them for business benefits.
• Proven thought leader/provocative thinker.
• Experience in systems engineering and systems thinking including concept development, system/product design, requirements management, risk management, etc.
• Power plant and systems level knowledge.
• Ability to manage multiple and significantly complex projects and assignments with a high level of autonomy and accountability for results.
• Understands the technical nuances and complex interrelationships within a specified system.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Technical competency across systems, manufacturing, and process.
• Strong analytic skills with an emphasis on critical, systems thinking, root cause analysis, and business case elaboration and analysis.
• Quick learner and able to capture and apply new knowledge from other disciplines formally & informally.
• Experience in provisioning optimized…