Lead Process Engineer – Observe to Agent Delivery
About The Position
Why Wells Fargo Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. Join us! About this role: Wells Fargo is seeking a Lead Process Engineer within the COO AI Center of Excellence. This role focuses on applying task mining, process intelligence, and advanced observation technologies to uncover, assess, and deliver high‑value process optimization and automation opportunities across large‑scale enterprise initiatives. The position plays a critical role in integrating process‑insight capabilities to build scalable, repeatable solutions that improve operational efficiency and business value. In this role, you will: Observe‑to‑Agent (O2A) Delivery Execute O2A lifecycle activities (Observe → Optimize → Analyze → Run) Support configuration of Observe Assistant, activity tagging, persona behavior modeling. Work with engineering to translate observed behavior into actionable agentic features. Cross‑Functional Delivery Leadership Track milestones, validate data quality, resolve blockers, and ensure timely delivery Partner with Business Sponsors, product owners, data scientists, and operations SMEs. Workforce & Productivity Analytics Execution Conduct observation deployments across selected personas and applications. Build behavioral and task‑level insights to support productivity improvement Run end‑to‑end analysis of task‑level behavior, cognitive load indicators, and exception patterns. Data Integration & Analysis Work with teams to enable advanced masking, clickstream, LLM‑driven insights, and multi-application analysis. Support validation of call‑time analytics, multitasking behavior, mainframe activity capture. Process Intelligence Execution Deploy SKAN.ai agents, configure masking, validate data capture, ensure compliance with governance and privacy requirements. Operate and refine the SKAN Digital Twin: observe workflows, identify inefficiencies, and generate insights for optimization. Generate structured process documentation (SOPs) for downstream automation teams. Monitor continuous observation cycles and maintain audit/logging standards.
Requirements
- 5+ years of Process Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Nice To Haves
- Hands‑on experience with SKAN.ai or similar task/process mining tools.
- Understanding of task mining & masking configurations.
- Strong Process Design and Object Driven process modeling, including BPMN 2.0 knowledge
- Proficiency in process analytics, workflow analysis, and productivity studies.
- Ability to read and interpret system logs, user‑activity capture, or desktop‑analytics outputs.
- Familiarity with LLM‑driven insights and continuous observation frameworks.
Responsibilities
- Observe‑to‑Agent (O2A) Delivery Execute O2A lifecycle activities (Observe → Optimize → Analyze → Run)
- Support configuration of Observe Assistant, activity tagging, persona behavior modeling.
- Work with engineering to translate observed behavior into actionable agentic features.
- Cross‑Functional Delivery Leadership Track milestones, validate data quality, resolve blockers, and ensure timely delivery Partner with Business Sponsors, product owners, data scientists, and operations SMEs.
- Workforce & Productivity Analytics Execution Conduct observation deployments across selected personas and applications.
- Build behavioral and task‑level insights to support productivity improvement Run end‑to‑end analysis of task‑level behavior, cognitive load indicators, and exception patterns.
- Data Integration & Analysis Work with teams to enable advanced masking, clickstream, LLM‑driven insights, and multi-application analysis.
- Support validation of call‑time analytics, multitasking behavior, mainframe activity capture.
- Process Intelligence Execution Deploy SKAN.ai agents, configure masking, validate data capture, ensure compliance with governance and privacy requirements.
- Operate and refine the SKAN Digital Twin: observe workflows, identify inefficiencies, and generate insights for optimization.
- Generate structured process documentation (SOPs) for downstream automation teams.
- Monitor continuous observation cycles and maintain audit/logging standards.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
