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Engineering Lead Analyst-Vice President
| Company | Citigroup |
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| Location | Tampa, FL, USA |
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| Salary | $113840 – $170760 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Expert or higher |
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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
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
Responsibilities
- 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
- 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
- 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
- Create comprehensive reports, dashboards, and visualizations tailored to different audiences, including detailed technical insights and high-level executive summaries
- Provide regular updates on project progress, maturity, and key metrics, ensuring alignment with organizational goals
- 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
- 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
Preferred Qualifications
- Master’s degree preferred
