Senior Director, Frontier Continuous Improvement

Bring process design expertise to an FDE pod: Work as an integrated member of a Forward Deployed Engineering pod, partnering with engineers, Industry Advisors, and customer teams to translate business opportunities into redesigned workflows and measurable outcomes. Understand how work happens today: Lead discovery, voice of customer, gemba, and current-state analysis. Quantify performance and identify waste, constraints, and unmet needs to focus on the highest-impact changes. Lead collaborative workflow design: Guide customers and the FDE pod through Kaizen and collaborative design sessions to reimagine how work should operate across people, AI, and technology. Challenge assumptions and align teams on a practical future state, including roles, decisions, and handoffs. Design how humans and AI work together: Identify where AI and agents can automate work, support judgment, or enable new capabilities. Define human oversight, decision rights, exception handling, and fallback paths so workflows perform in real operating conditions. Connect process design to engineering delivery: Translate future-state workflows into clear requirements and acceptance criteria. Partner with engineers through prototyping and deployment, using customer feedback to refine the workflow and solution. Drive implementation and adoption: Break the future-state design into actionable changes. Establish owners, milestones, and execution routines; surface barriers and help customer teams adopt the redesigned workflows. Measure and sustain business impact: Establish performance baselines and targets that connect workflow improvements to customer outcomes. Validate results and build the customer ownership and CI capabilities needed to sustain performance. Build alignment and influence action: Communicate clearly with frontline teams, technical partners, and executive leaders. Make complex issues understandable, facilitate tradeoffs, and build commitment across organizational boundaries to keep delivery moving. Strengthen the practice through field learning: Turn customer experience into reusable playbooks and design patterns. Coach colleagues and customer teams in CI practices and provide feedback to engineering and product teams. Embody our culture and values: Create clarity in ambiguity, challenge the status quo with evidence, and foster collaboration and ownership. Deliver results with respect, integrity, and accountability. Process Management IC6 - The typical base pay range for this role across the U.S. is USD $130,900 - $277,200 per year. Master's Degree in Engineering, Business, or related field AND 6+ years process management, process execution, process optimization, or related experience OR Bachelor's Degree in Engineering, Business, or related field AND 8+ years process management, process execution, process optimization, or related experience 4+ years demonstrated experience leading enterprise transformation, process redesign, and operating-model change from discovery through adoption and sustained results 4+ years experience advising executive leaders, facilitating high-stakes decisions, shaping complex engagements, and influencing across organizations without direct authority 1+ year experience redesigning workflows with generative AI, agents, or automation and partnering with technology or engineering teams on large-scale implementations Master's Degree in Engineering, Business, or related field AND 12+ years process management, process execution, process optimization, or related experience (e.g., data analytics) OR Bachelor's Degree in Engineering, Business, or related field AND 15+ years process management, process execution, process optimization, or related experience (e.g., data analytics) OR equivalent experience. Consulting and growth experience: management consulting, professional services, or enterprise sales experience in customer transformation or technology-enabled operating-model change Applied AI fluency: hands-on experience with agentic workflow design, responsible AI, evaluation, human oversight, and failure-mode planning Continuous Improvement methodology: advanced experience with Lean, Six Sigma, operational excellence, or equivalent methods.