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.

Requirements

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.

Benefits

Comprehensive healthcare plans
Wellness incentive program
Mental wellbeing support
Fitness reimbursement
Bonus incentive opportunity
Matching 401(k)
Stock purchase plan
Career development opportunities
Employee resource groups
On-demand learning
Tuition reimbursement
Paid-time off
Parental leave
Flexible work-schedules
Volunteer opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

automationdata engineeringsoftware engineeringagile delivery methodologiesprocess improvementcloud analyticsdata platformsautomation platformsscalable technical solutionsvendor management

Soft Skills

people leadershipteam managementcommunicationmentoringcollaborationchange managementproblem-solvingrelationship buildingknowledge sharingdecision making