Release Management Analyst

Job Responsibilities

• Support end-to-end release/change execution across Finance data platforms, covering both planned and ad hoc change events.
• Support high-velocity, well-controlled change by ensuring governance, approvals, documentation, and evidence are completed without slowing delivery.
• Identify, assess, and escalate risks/issues with clear options, impacts, and mitigation plans; drive timely decision-making.
• Lead stakeholder management across the lifecycle—setting expectations, negotiating scope/timelines, and tailoring communications to varied audiences.
• Embed AI-assisted analytics and automation into release execution and quality controls to accelerate anomaly detection, regression testing, issue triage, and root-cause investigation.
• Establish and track operational KPIs (e.g., release lead time, change failure rate, defect leakage, rework, incident volumes, automation coverage) and use insights to prioritize continuous improvement.
• Partner with data engineering and platform to improve data quality monitoring, observability, and proactive risk identification ahead of releases.
• Drive efficiency and performance improvement across the release lifecycle by standardizing processes, reducing manual effort, improving cycle times, and increasing predictability (e.g., fewer defects, faster recovery, improved on-time delivery).
• Execute testing and quality activities, including regression testing and anomaly detection, to validate changes align with requirements and expected outcomes.
• Produce executive-ready materials (updates, KPIs, decision decks) to support leadership visibility and modernization priorities.
• Program-manage key initiatives and contribute to modernization efforts through disciplined planning, reporting, and delivery governance.

Required Qualifications, Capabilities, And Skills

• A 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 Qualifications, Capabilities, And Skills

• 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