Reporting to the Global Business Services Center of Excellence Director, you will lead the build and execution arm of the Global Business Services Center of Excellence. You will translate approved solution designs into high‑quality automation and data solutions by leading internal development teams, overseeing offshore partners, and expanding enterprise automation, artificial intelligence, and data engineering capabilities that deliver measurable business outcomes. 

A Taste of Your Responsibilities 

• Own execution of automation and data solutions once designs are approved, ensuring timely and high‑quality delivery. 

• Drive continuous improvement in development velocity, solution quality, and long‑term maintainability. 

• Direct task allocation, progress tracking, and quality reviews across all build activities. 

• Monitor productivity, quality metrics, and rework trends to identify and implement improvements. 

• Act as the primary execution decision maker for development sequencing and resource planning within the Global Business Services Center of Excellence build function. 

• Partner with Enterprise Artificial Intelligence and Enablement teams to leverage enterprise platforms, services, and governance frameworks. 

• Collaborate with business stakeholders to support solution adoption, including transition‑to‑run planning, user training, and post‑deployment support. 

• Lead and develop internal automation developers and data engineers. 

• Provide day‑to‑day direction for offshore automation developers and support partners. 

• Manage hiring, onboarding, performance management, and professional development. 

• Mentor team members to strengthen technical, analytical, and delivery skills. 

• Foster a culture focused on quality, continuous learning, and knowledge sharing. 

• Coordinate knowledge transfer between offshore and internal teams while reducing long‑term dependency on third‑party resources. 

• Establish and enforce data engineering practices, code quality standards, and reusable components. 

• Build data engineering capabilities that support automation, analytics, and artificial intelligence initiatives using enterprise‑approved platforms. 

• Lead development of reusable data products, datasets, and solution components. 

• Enable integrated automation and data solutions that deliver business insights. 

• Build strong relationships with business stakeholders and information technology partners. 

• Communicate progress, risks, and outcomes clearly to leadership and key stakeholders. 

Ingredients Required for Your Success 

• Bachelor’s degree in information systems, computer science, engineering, business, or a related field. 

• Five or more years of experience in automation, software engineering, or data engineering roles. 

• Three or more years of people leadership or team management experience. 

• Experience leading internal teams and working with offshore or third‑party development partners. 

• Strong understanding of automation platforms such as UiPath. 

• Experience working with agile delivery methodologies; Jira experience preferred. 

• Experience translating business requirements into scalable technical solutions. 

• Strong communication skills, including presenting to leadership. 

• Demonstrated success driving change and influencing outcomes across teams. 

• Exposure to modern cloud analytics and data platforms such as Snowflake, Databricks, Microsoft Fabric, or Azure Artificial Intelligence Services. 

• Experience with process improvement methodologies such as Lean, business process management, or Six Sigma preferred. 

• Exposure to enterprise resource planning systems such as SAP R/3, SAP S/4, business intelligence, and Business Objects preferred. 

• Experience with vendor and statement of work management, including offshore partner oversight, service level agreement management, and cost optimization preferred. 

• Experience integrating automation with data and analytics solutions preferred. 

Number of Days in Office: 3 
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