Release Management Analyst
On-site · Newark, Delaware, United States
Newark, Delaware, United StatesOn-siteFull TimeMid LevelBachelors DegreeFinancial ServicesEnterprise
Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Enterprise
Industry
Financial Services
Job Summary
Release Management Analyst on the Finance Data Insights Release Management team drives end-to-end planning and execution of change events across Finance data platforms, embedding AI-assisted analytics and automation to accelerate anomaly detection, regression testing, and root-cause investigation while delivering governance, documentation, and stakeholder-visibility through KPI tracking and executive-ready materials.
Required Qualifications
- Bachelor's degree
- 2+ years of experience in release/change management, program/project management, or related delivery roles
- Working knowledge of managing release/change events with strong attention to risk, controls, and stakeholder impact
- Strong data analytics skills, including ability to query and analyze data to support validation and issue investigation
- Experience coordinating testing and quality validation (e.g., regression testing, reconciliations, data quality checks) and leading root-cause analysis
- Stakeholder management skills (influencing, negotiation, expectation management) and strong data storytelling
- Advanced skills in metrics, reporting, and presentation creation, including executive-level PowerPoint outputs
- Strong written and verbal communication, with ability to tailor messages by audience
- Advanced Excel (or equivalent analytical tooling)
- Experience using AI-assisted analytics tools and/or automation to accelerate delivery and improve performance (e.g., anomaly detection, regression testing acceleration, smarter alerting/triage, faster investigation and root-cause analysis, improved data quality monitoring)
- Preferred: Agile delivery mindset; experience using JIRA and working knowledge of JQL
- Experience in Financial Services and/or a Consulting background
- Experience with modern data platforms and tooling, including Databricks
- Familiarity with Data Mesh concepts and/or cloud strategy
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