Process Transformation Lead (Automation & AI)

Requirements

• Bachelor's degree or equivalent experience required ; degree in business, engineering, operations, or related discipline preferred.
• 5 + years of progressive experience in process improvement, or transformation, with at

Additional Information

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Position Summary The Process Transformation Lead partners with leaders across Revenue ( Sales, Sales Engineering, Marketing, and Sales Operations ) to design, lead, and measure the end-to-end optimization of business processes. The role is responsible for establishing and operating a structured methodology that combines process excellence, analytics, and technology (including AI and automation) to deliver measurable improvements in productivity, cycle time, decision quality, and business outcomes. The Process Transformation Lead is expected to lead the full lifecycle of process improvement initiatives - from discovery and diagnosis through design, implementation, and post-launch measurement - and to support the governance, frameworks, and feedback mechanisms that allow the organization to continuously evolve how work is done. Primary Responsibilities Lead the end-to-end lifecycle of process transformation initiatives across Revenue functions, including discovery, current-state mapping, diagnosis, prioritization, future-state design, implementation, and measurement. M aintain the methodology playbook that governs how process improvement work is scoped, designed, executed, and validated across the organization. Partner with the AI Tiger Team, Digital team , automation engineering, and analytics teams to embed AI, automation, and predictive capabilities into redesigned workflows where they earn their place. Facilitate structured discovery and mapping sessions with cross-functional stakeholders and subject matter experts across the business to surface friction, decision gaps, and improvement opportunities. Apply structured prioritization frameworks (Impact × Feasibility × Strategic Fit) to maintain a ranked working backlog of transformation opportunities aligned to Revenue priorities. Define and track the three-tier metrics framework : business outcomes, process metrics, and adoption - for every initiative, ensuring baseline, target, and measured actuals are documented before kickoff. Establish feedback mechanisms that capture how launched solutions are performing , across user feedback, system data, business outcomes, and customer signals , and use those insights to inform the next cycle of prioritization decisions. Partner with business owners to ensure every initiative has clear outcome accountability outside the transformation team. Partner with change management, enablement, and training teams to ensure adoption sustains beyond launch. Apply structured decision frameworks to determine the right blend of process redesign, analytics, automation, and AI capabilities for each transformation initiative. The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change. Knowledge, Skills and Abilities Strategic thinker with the ability to operate across the full process lifecycle : from problem framing through measured business outcomes. Strong facilitation skills with the ability to lead discovery and design sessions across diverse stakeholder groups, including front-line practitioners and senior leaders. Deep understanding of process improvement and operational design in services and business operations environments , including workflow mapping, friction and waste analysis, root-cause investigation, and the disciplined redesign of cross-functional workflows. Conceptual understanding of AI and automation capabilities , including what large language models, predictive models, agentic AI, and workflow automation platforms can and cannot do , and the judgment to identify where each can improve a process. Analytical fluency, with the ability to define baselines, design metric frameworks, and translate operational data into business outcomes. Excellent written and verbal communication skills, including the ability to present complex transformation strategies to executive audiences and translate them into clear operating models for working teams. Strong project management skills with the ability to manage multiple concurrent initiatives at different lifecycle stages.

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