Lead Process Automation Engineer Financial Services Operations Skan.ai & Generative AI Focus
Our client is looking for a Lead Process Automation Engineer Financial Services Operations (Skan.ai & Generative AI Focus) at Charlotte, NC It's a Long Term Contract opportunity
Kindly share your updated resume to proceed further.
Job Title: Lead Process Automation Engineer Financial Services Operations (Skan.ai & Generative AI Focus)
Location: Charlotte, NC (Hybrid 3 days onsite 2 days remote per week)
Duration: Long Term Contract
Summary:
- Client is seeking a Lead Process Automation Engineer to drive AI-enabled process discovery and intelligent automation across high-volume financial-services operations (e.g., client servicing, payments, lending operations).
- You will deploy Skan.ai's vision-based process-intelligence platform, integrate Generative AI (GenAI) solutions, and deliver measurable cost reduction, efficiency gains, and superior employee / customer experience for client.
Key Responsibilities
- Deploy & administer Skan.ai agents to capture end-to-end desktop journeys; generate granular process maps, metrics, and conformance dashboards.
- Analyze Skan insights to pinpoint bottlenecks, rework, and automation opportunities; quantify value (cost, cycle time, error rate).
- Build and maintain an automation roadmap (RPA, low-code workflow, GenAI assistants) aligned to client's Financial Services efficiency goals.
- Design, develop, and oversee automation solutions-hands-on with RPA tools (UiPath, Automation Anywhere, Blue Prism) and Python / low-code scripting.
- Prototype and embed GenAI capabilities (e.g., chatbots, LLM-generated documentation, summarization) to elevate operations productivity.
- Collaborate with Operations leaders, Technology partners, and Risk teams to ensure solutions meet security, compliance, and change-management requirements.
- Track KPI improvements post-implementation; prepare benefit-realization reports and drive continuous optimization.
- Act as a technical mentor and evangelist, promoting best practices in process intelligence and automation across client's Financial Services.
Required Qualifications
- 10+ years in process improvement / automation engineering with large-scale transformation ownership.
- Expert in process discovery / mining-preferably Skan.ai (or Celonis, FortressIQ).
- Proven delivery of RPA / workflow automations in production; strong Python or scripting proficiency.
- Solid grounding in AI/ML concepts and hands-on experience applying Generative AI / LLMs in enterprise use cases.
- Working knowledge of financial-services operations (payments, servicing, lending, back-office).
- Analytical, Lean Six Sigma mindset (Green Belt/Black Belt or equivalent experience).
- Excellent communication skills; able to translate technical findings into business value for senior stakeholders.
- Bachelor's in Engineering, Computer Science, Information Systems, or related field; Master's a plus.
Desired Qualifications
- Experience within a large financial institution or consulting for financial-services COO organizations.
- Prior launch of a process-intelligence program from concept through adoption.
- Certifications: UiPath Developer, AA Advanced RPA, Lean Six Sigma, AI/ML or GenAI credentials.
- Familiarity with industry risk, control, and change-management frameworks.
Tools & Technologies:
Skan.ai RPA (UiPath, Automation Anywhere, Blue Prism) Python SQL Celonis Power BI ServiceNow Cloud (Azure / GCP) GenAI platforms (OpenAI API, Azure OpenAI, Vertex AI) Git CI/CD pipelines
Looking forward for your reply.
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