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Release Management Analyst

Newark, NJ, US💼 Full-time🗓 2026-06-13 → 2026-07-29

Core

End-to-end planning and execution of change events for Finance data platforms (data warehouse/lake) to support internal and external regulatory reporting.

Role type

Release Management Analyst

Builds

Finance data products supporting financial and regulatory reporting

Domain

Financial Services / Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Release/change management, Data analytics, Testing and quality validation, Stakeholder management, Metrics and reporting, Advanced Excel, AI-assisted analytics tools

Preferred skills

Agile delivery, JIRA, Financial Services domain, Consulting background, Databricks, Data Mesh concepts

Responsibilities

Support end-to-end release/change execution including planned and ad hoc events, Ensure governance and approvals are completed without slowing delivery, Identify and escalate risks with mitigation plans, Embed AI-assisted analytics for anomaly detection and issue triage, Establish and track operational KPIs for continuous improvement, Execute testing and quality activities including regression testing, Produce executive-ready materials for leadership visibility

Seniority

Mid-level, hands-on IC

Rewrite
## Responsibilities - Support end-to-end release/change execution across Finance data platforms, covering both planned and ad hoc change events. This role supports releases that occur on weekends, based on release calendars and business needs. - 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. ## Requirements - 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). ## Nice to Have - 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. ## Benefits - Competitive total rewards package including base salary determined based on the role, experience, skill set and location. - Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. - A range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. - We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity.
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