IT Process Analyst

Job ID: 65170

Position: IT Process Analyst

Department: ATL - TDE

Location: 6000 North Terminal Pkwy Atlanta, Georgia 30320

Duration: 6 Months

Shift: 8:00 AM to 4:30 PM

• Overview
  
  

The IT Process Analyst will support the organization's digital delivery operations by governing delivery processes, coordinating stakeholders, maintaining web-related services, and driving continuous process improvement. The analyst ensures that digital products and services are delivered efficiently, securely, and in alignment with strategic IT goals.

• Responsibilities & Activities
• Digital Delivery & Governance
• IT Governance Strategy
• Champion, collaborate on, and implement Digital Delivery strategies.
• Support execution of IT strategy by aligning delivery processes with organizational goals.
• Ensure governance practices are followed across all delivery activities.
• Digital Delivery Execution
• Deliver digital products including custom software, SaaS platforms, and system integrations.
• Ensure adherence to defined deliverables, acceptance criteria, and release requirements.
• Manage and maintain the team task board to reflect accurate work status.
• Oversee sprint resource allocation to align with team capacity and priorities.
• Agile Delivery Operations
• Agile Ceremonies
  
  

Facilitate And Participate In

• Periodic standups
• Sprint planning sessions
• Sprint retrospectives
• Backlog grooming and refinement
• Coordination Activities
• Coordinate day-to-day work with project managers.
• Collaborate with business stakeholders to clarify requirements, priorities, and timelines.
• Manage communication and alignment with external vendors supporting digital delivery.
• Process Improvement & Operational Excellence
• Process Maintenance
• Recommend, implement, and adjust operational processes in collaboration with the team.
• Maintain documentation of delivery workflows, standards, and procedures.
• Evangelizing Process Improvements
• Identify improvement opportunities and advocate for new processes using data-driven insights.
• Support experimentation, pilot initiatives, and evaluation of process changes.
• Delivery Metrics
• Track, measure, and visualize delivery metrics (e.g., cycle time, throughput, SLA adherence).
• Provide insight into performance trends to guide decision-making.