RPA AI Sr. Lead / Manager

Role:RPA AI Sr. Lead / Manager

Seeking a RPA AI Sr. Lead / Manager with min12+ years of experience in UiPath and Microsoft Power Platform (Power Apps, Power Automate, Power BI), specializing in designing, developing, integrating, and governing enterprise-scale automation solutions while driving CoE, security, and operational excellence initiatives.

Experience: - Min 12+ Years

Location: - Irving, TX and Edina, MN (Hybrid 3 days' Work from Office)

Ability and willingness to come in person interview and 3 days' work from office.

Roles and Responsibilities

Own and continuously improve the Intelligent Automation intake, triage, assessment, prioritization, and governance process.

Maintain portfolio visibility across proposed, approved, active, supported, and completed automation initiatives.

Partner with business leaders to clarify demand, business value, timing, dependencies, sponsorship, and readiness.

Coordinate with the Lead AI Automation Engineer to obtain technical feasibility, architecture, effort, risk, and skill requirements.

Manage annual and quarterly planning, budget forecasting, spend tracking, licensing, vendor capacity, and financial reporting.

Own workforce planning, hiring plans, contractor strategy, resource allocation, and capacity management across the function.

Sequence work based on business priority, funding, available capacity, technical readiness, and organizational dependencies.

Manage portfolio risks, cross-team dependencies, delivery escalations, customer expectations, and executive reporting.

Define and monitor portfolio, delivery, operational, financial, adoption, and business-value metrics.

Ensure the function has an effective support model, sufficient support capacity, clear escalation paths, and service performance visibility.

Lead formal people management, including goal setting, performance reviews, career development, engagement, succession planning, and team health.

Partner with the Director on operating model improvements, investment planning, organizational design, and transformation roadmap execution.

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

10+ years of experience in enterprise technology delivery, automation, engineering operations, portfolio management, or related functions.

5+ years of formal people management experience.

Experience managing technology intake, prioritization, budgets, workforce capacity, vendors, and multi-initiative portfolios.

Strong understanding of enterprise Intelligent Automation, UiPath, Microsoft Power Platform, AI-enabled automation, and production support.

Experience translating technical estimates and skill requirements into executable staffing, budget, and portfolio plans.

Experience communicating portfolio health, financial performance, risks, and business value to senior leaders.

Strong people leadership, business partnership, financial management, planning, governance, and organizational skills.

Technical Skills & Technologies

Enterprise Intelligent Automation: UiPath, Microsoft Power Platform, enterprise RPA platforms

AI-Enabled Automation: Agentic AI, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining

Software Engineering & Integration: Python, C#, .NET, REST APIs, SQL, Git, CI/CD, enterprise integration

Cloud & Platform Services: Microsoft Azure, Azure OpenAI, Azure DevOps, cloud-native services

Engineering Practices: Solution design, automation frameworks, SDLC, Agile, DevSecOps, observability, production support

Preferred Experience

Experience managing an enterprise Automation Center of Excellence or similar engineering function.

Experience managing a mixed workforce of employees, contractors, and strategic vendors.

Experience operating in healthcare or another regulated industry.

Experience supporting enterprise transformation roadmaps and technology investment planning.

Success Measures

Predictable flow of work from intake through delivery and support.

Clear portfolio visibility, prioritization, governance, and executive reporting.

Effective budget management, staffing, capacity utilization, and vendor performance.

Strong partnership between business stakeholders, the Manager, the Lead, and engineering teams.

Healthy team engagement, capability growth, succession readiness, and delivery performance.

Measurable improvement in automation adoption, operational performance, and business value.

VeeRteq Solutions is an Equal Opportunity Employer