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Lead Specialty Software Engineer

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States , WEST DES MOINES ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

159000.00 - 254000.00 USD / Year
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Job Description:

Wells Fargo is seeking a Specialty Software Engineer who will serve as a subject matter expert (SME) across Pega Knowledge Buddy & Coach, automation engineering, and process intelligence & discovery using Celonis and Skan.ai. This role combines specialty software development with advanced workflow engineering, process insights, and cross-functional coaching.

Job Responsibility:

  • Lead advanced process analysis using Celonis (process mining) and Skan.ai (task intelligence and discovery) to identify inefficiencies, control gaps, workflow friction, and technology bottlenecks across end-to-end processes
  • Integrate insights from Celonis and Skan.ai to inform automation strategy, continuous improvement, and operational optimization efforts
  • Monitor and mature automated workflows by reviewing performance metrics, identifying enhancement opportunities, and ensuring long‑term scalability and resilience
  • Lead complex initiatives across Pega Knowledge, automation frameworks, and process intelligence platforms
  • Design and implement automation solutions across Pega, APIs, event‑driven systems, and low‑code orchestration tools
  • Develop, orchestrate, and optimize cross‑platform workflows between AI and automation tools (e.g., Skan.ai, EDIP, Pega Knowledge Buddy, Pega Knowledge Coach) to ensure seamless data flow and interoperability
  • Resolve escalated issues related to Pega, Celonis, Skan.ai, integrations, and automation workflows
  • Translate complex business needs into actionable technology requirements and refine the backlog with product owners
  • Collaborate with architects and principal engineers to design AI‑enabled workflows, automation patterns, and integration architectures
  • Support UAT planning and execution, validate end‑to‑end functionality, and ensure smooth deployment and hypercare stabilization
  • Design, develop, test, and implement applications, system components, utilities, and analytics solutions
  • Serve as SME for Pega Knowledge—including taxonomy, content architecture, workflow optimization, and governance
  • Coach product teams, analysts, and junior engineers on Pega design patterns and platform capabilities
  • Mentor less‑experienced engineers and collaborate with leaders to uplift engineering maturity

Requirements:

  • 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Hands-on experience with Pega platforms
  • Pega certifications (CSA, CSSA, BA)
  • Experience with Celonis and/or Skan.ai or similar task/process mining tools
  • Experience with reusable automation components and enterprise integrations
  • Analytical skills and familiarity with operational excellence
  • 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

Nice to have:

  • Hands-on experience with Pega platforms
  • Pega certifications (CSA, CSSA, BA)
  • Experience with Celonis and/or Skan.ai or similar task/process mining tools
  • Experience with reusable automation components and enterprise integrations
  • Analytical skills and familiarity with operational excellence
  • 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
What we offer:
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Additional Information:

Job Posted:
March 13, 2026

Expiration:
March 22, 2026

Employment Type:
Fulltime
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