Automation Solutions and Delivery Lead

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Role focused on leading the Automation Center of Excellence (CoE) and delivering automation initiatives across the organization.

• Automation Center of Excellence (CoE) Execution: Lead the operational and strategic execution of the Automation CoE; Drives strategic decision-making for selecting the optimal automation framework - balancing speed, flexibility, scalability, and total cost of ownership; Oversee the day-to-day management and operational maturity of the Automation CoE; Define and enforce automation development standards, solution design principles, and best practices; Monitor industry trends to recommend new automation technologies and practices.
• Team Leadership and Talent Development: Manage a team of Automation Developers and Technical Business Analysts; Provide technical guidance, mentorship, performance management, and career development pathways for the team; Foster a high-performance culture focused on quality, speed, and innovation.
• Automation Pipeline Management and Delivery: Collaborate with division-level Automation POCs to build, assess, and maintain a robust pipeline of automation opportunities; Ensure projects are delivered on time, within scope, and achieve intended business outcomes; Maintain an automation backlog and facilitate governance reviews for pipeline prioritization.
• Solution Development and Implementation Oversight: Ensure best practices in solution architecture, reusable component design, and automation development; Implement agile delivery principles to manage project sprints, demos, retrospectives, and releases; Manage project risks, testing cycles, and post-deployment support protocols.
• Stakeholder Engagement and Value Realization: Act as the main delivery partner for automation engagements, communicating clearly with business stakeholders about project status, risks, and outcomes; Collaborate with the OPEX partners to embed automation into broader business transformation initiatives; Lead regular governance sessions, value tracking, resource utilization and performance reporting for automation initiatives.
• Collaboration with the OPEX Director and Data Science Lead: Partner with the Data Science Lead to explore opportunities for AI integration into automation solutions such as intelligent bots and predictive workflows; Collaborate with the OPEX Director to align automation projects with broader digital transformation goals.

• Automation Solutioning Expertise
• Extensive background in RPA, intelligent automation, and workflow automation technologies
• People Leadership
• Delivery Management
• Cross-Functional Collaboration
• Innovation and Scalability

• Bachelor's degree in Engineering, Technology, Computer Science, Business, or related field (Masters preferred)
• Minimum 7-9 years of relevant experience, including at least 3-5 years leading automation solution delivery teams
• Strong hands-on experience in Python programming for automation scripting, custom solution development, and API integrations
• Working experience with low-code/no-code automation platforms (e.g., UiPath, Power Platform, etc.) for rapid delivery of appropriate use cases
• Solid understanding of Web Development fundamentals (HTML, CSS, JavaScript, REST APIs) to support custom automation and web integrations
• Ability to assess automation requirements and determine the best-fit approach (lowcode vs. full-stack development) based on complexity, scalability, and maintainability
• Familiarity with intelligent document processing (IDP), OCR, low-code platform integrations, and hybrid automation architectures
• Experience managing technical developers (both RPA developers and software engineers) and technical BAs
• Preferred certifications:
  • Python programming certifications (PCEP, PCAP) or equivalent practical experience
  • UiPath Advanced RPA Developer, Microsoft Power Platform certification (preferred but not mandatory)
  • Agile Scrum Master or Product Owner Certification
  • Lean Six Sigma Green Belt (optional)

• Not Applicable

• Full-time

• Management and Manufacturing

• Technology, Information and Internet