Citi Group Engineering Lead Analyst -Vice President - TAMPA 

United States, Florida, Tampa 

269070004

Support effective reporting and documentation.

In particular:

• Build dashboards and reports to track QE metrics (requires coding experience).
• Integrate and optimize data sources for actionable insights.
• Collaborate with teams to define/monitor QE KPIs.
• Develop and manage a centralized QE documentation portal in Confluence/SharePoint.

Data Collection and Integration:

• Design and implement data pipelines that collect relevant project data from various tools and systems using REST APIs and similar methods.
• Establish data collection frameworks aligned with quality engineering maturity models and DORA metrics.

Data Analysis and Signal Detection:

• Analyze large datasets to identify trends, patterns, and signals that indicate project progress and maturity.
• Ability to pivot data each sprint, month and year over year for each project
• Develop metrics and KPIs that effectively measure quality improvements and maturity advancements.

Reporting and Visualization:

• Create comprehensive reports, dashboards, and visualizations tailored to different audiences, including detailed technical insights and high-level executive summaries.
• Proficiency in Confluence or related tools
• Provide regular updates on project progress, maturity, and key metrics, ensuring alignment with organizational goals.

Collaboration and Stakeholder Engagement:

• Partner with quality engineers, program managers, and other stakeholders to identify data requirements and ensure meaningful measurements.
• Support cross-functional initiatives by providing timely and relevant data insights.

Continuous Improvement:

• Evaluate the effectiveness of metrics and reports, refining processes to improve data quality and relevance.
• Stay up to date with industry trends and emerging practices in business intelligence and quality engineering metrics.

Develop and manage a centralized QE documentation portal in Confluence/SharePoint.

Requirements

• 9 plus years of relevant experience in an Engineering role
• 6 to 8 plus years of experience in a complex global company environment as a business intelligent subject manager expert ideally with some DevOps in their background.
• A strong background in working with REST APIs, quality engineering maturity models, and DORA metrics is required.
• Strong experience synthesizing large datasets, identifying meaningful trends and signals, and delivering reports tailored to both technical and executive audiences.

This is a high-impact role for a data-savvy professional who thrives on finding actionable insights in complex data environments.

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

Anticipated Posting Close Date:

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