Process Engineer serves as a strategic partner to business leaders, shaping how the organization designs, governs, and scales its operations. This position leads complex, cross-functional transformation initiatives, and is accountable for ensuring that process design decisions align with long-term organizational strategy rather than isolated functional goals.

Working across business units, technology teams, and executive stakeholders, the Process Engineer leads the end-to-end lifecycle of process transformation. Applying Lean, Six Sigma, and systems-engineering methods, the Process Engineer translates this strategic work into measurable gains in cycle time, cost, quality, compliance, and operational capacity, ensuring that enterprise-level process strategy produces tangible, sustained business results.

Duties & Responsibilities

• Process analysis: Lead end-to-end process analysis to identify bottlenecks, inefficiencies, and control gaps, using root-cause analysis, Lean, DMAIC, and value-stream mapping to design improved future-state processes.
• Cross-functional facilitation: Facilitate complex process-mapping and stakeholder working sessions across functions, evaluating the interplay of people, process, technology, data, and risk.
• Simplification before automation: Identify opportunities to simplify, standardize, or eliminate activities prior to introducing technology solutions.
• Project leadership: Lead cross-functional improvement initiatives from discovery through implementation, defining scope, milestones, risks, and expected benefits.
• Stakeholder partnership: Present data-driven recommendations to leadership, drive stakeholder alignment and change adoption, and coach Process Analysts and Consultants.
• Measurement & governance: Establish KPIs, baselines, and benefit-realization metrics; build dashboards and scorecards; conduct post-implementation reviews; design governance and control structures.
• Technology enablement: Partner with technology teams to define requirements, workflow design, and automation opportunities (RPA, AI, process mining) that support—not overcomplicate—optimized processes.
• Implementation support: Support testing, adoption, and post-implementation validation of technology-enabled improvements.

Supervisory Responsibilities:  This role does not have formal people leadership responsibilities but may provide guidance, mentorship, or subject matter expertise to others

Knowledge, Skills & Abilities

• Advanced analytical and structured problem-solving capabilities.
• Strong process-design and systems-thinking skills.
• Ability to translate complex operational issues into scalable solutions.
• Strong facilitation, stakeholder-management, and influencing capabilities.
• Ability to lead complex initiatives with limited oversight.
• Strong business acumen and understanding of downstream process impacts.
• Ability to use data to develop recommendations and quantify benefits.
• Ability to coach others in process-improvement practices.
• Strong written, verbal, and executive presentation skills.

Education Level

• Bachelor's Degree
• Degree in Business, Engineering, Industrial Engineering, Information Systems, or related field

Years of Experience

• 7+ year of relevant experience in business process improvement, operational excellence, process engineering, business analysis, project delivery, or related fields.
• Demonstrated experience leading complex, cross-functional process-improvement initiatives.
• Combination of education and experience considered in lieu of degree.
• Experience working in a regulated, financial-services, insurance, healthcare, technology, or other complex operational environment preferred.
• Experience with process modeling, process mining, and/or analytical tools preferred.
• Experience identifying and implementing automation, workflow, RPA, AI, or system-enhancement opportunities preferred.

License/Certification Preferred

• Lean Six Sigma Green Belt
• Practical experience with Lean, Six Sigma, continuous improvement, business process management, or quality-management methodologies.

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