Technology Data Analyst IV

Payrate: $55.00 - $60.00/hr. Summary: We are seeking a highly analytical and forward-thinking Capabilities Lead for Data Science to support initiatives that enhance our product development lifecycle through process improvement, systems engineering, and enterprise architecture. This role is pivotal in accelerating the definition, measurement, analysis, design, and verification of innovative products by aligning technical systems with business goals and optimizing cross-functional workflows. Responsibilities: Process Improvement & Optimization • Identify, analyze, and improve existing engineering and R&D processes to enhance efficiency, quality, and speed. • Develop and implement metrics and KPIs to measure process performance and drive continuous improvement. • Facilitate root cause analysis and corrective action planning. Systems Engineering • Lead the development and management of system requirements, architectures, and interfaces across the product lifecycle. • Support trade studies, risk assessments, and design verification activities. • Ensure traceability from stakeholder needs through system validation. Enterprise Architecture • Design and maintain enterprise-level architecture frameworks that support scalable and sustainable product development. • Align IT systems, tools, and data flows with engineering and business strategies. • Collaborate with cross-functional teams to ensure architectural consistency and integration. Accelerating R&D • Champion the use of model-based systems engineering (MBSE), digital twins, and simulation tools to reduce development cycles. • Integrate systems thinking into early-stage research and concept development. • Support agile and lean product development methodologies. • Communicate project milestones and outcomes to key business stakeholders. Qualifications: • Bachelor’s or master’s degree in systems engineering, Industrial Engineering, Computer Science, or a related field. • 3+ years of experience in systems engineering, process improvement, or enterprise architecture roles. • Familiarity with Six Sigma, Lean, or other process improvement methodologies. • Software: Experience with general MS applications, GitHub, Azure DevOps. • Background in data analytics or digital engineering. • Excellent analytical, communication, and stakeholder engagement skills. Preferred Qualifications: • Strong knowledge of systems engineering standards (e.g., INCOSE, ISO/IEC 15288). • Experience with tools such as Sytsma, Enterprise Architect, DOORS, or similar. • Certification in Systems Engineering (e.g., CSEP), Lean Six Sigma, or TOGAF. • Software: Familiar with programming languages such as Python, SQL. • Experience with tools such as Data Bricks, Google Big Query, AWS, ESRI or other GIS tools. • Experience in R&D-heavy industries such as aerospace, defense, medical devices, or advanced manufacturing. Pay Transparency: The typical base pay for this role across the U.S. is: $55.00 - $60.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human-based decision making in employment decisions.  By applying for this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter. #AditiConsulting