Automation Solutions and Delivery Lead

Key Accountabilities:

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. Collaboration with the OPEX Director and Data Science Lead

• Partner with the Data Science Lead to explore opportunities for AI integration into automation solutions (e.g., intelligent bots, predictive workflows).
• Collaborate with the OPEX Director to align automation projects with broader digital transformation goals.

Core Competencies:

• Automation Solutioning Expertise
• Extensive background in RPA, intelligent automation, and workflow automation technologies.
• People Leadership
• Strong track record in leading technical teams (developers and technical BAs) toward successful delivery.
• Delivery Management
• Skilled in agile project management, sprint planning, and operational governance for automation programs.
• Cross-Functional Collaboration
• Works across business, technical, and transformation teams to drive integrated outcomes.
• Innovation and Scalability
• Continuously seeks opportunities to scale automation impact and leverage emerging technologies.

Qualification

• 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)

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