Principal Data Operations Analyst

Role Purpose

The Principal Data Operations Analyst – CI (Output) plays a critical role in driving end-to-end operational excellence for data output delivery. This role acts as a subject-matter expert and change agent, leading continuous improvement initiatives, strengthening output quality, timeliness, and scalability, and ensuring standardized, compliant, and client-ready data delivery across complex operational environments.

Key Responsibilities

Continuous Improvement & Process Excellence

• Lead CI initiatives to improve output quality, cycle time, and efficiency.
• Identify root causes and implement scalable, standardized solutions.
• Define KPIs and success metrics for CI initiatives.

Output Quality & Delivery Governance

• Own output quality controls and validation frameworks.
• Ensure compliance with global standards and SOPs.
• Act as escalation point for complex delivery issues.

Cross-functional Collaboration

• Partner with Client Ops, Product, Tech, and Data Science teams.
• Represent Data Ops Output perspective in Data Ops forums.

Coaching & Capability Building

• Contribute to documentation and training materials.