Highlights
This role serves as the central coordination point between Application Teams, DevOps, QA, Production Support, Architecture, Infrastructure, Product, and Leadership to ensure changes are planned, approved, validated, deployed, and closed with minimal operational risk. This individual is comfortable driving accountability across engineering teams, communicating complex technical risks in plain English, and using AI to automate routine work, improve decision-making, and enhance release quality across MMC.
Numbers & Facts
| Location | Charlotte, NC |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
- Roles & Responsibilities
- • Money Movement Capability (MMC) Platform Engineering
- • The Technical Change & Release Manager is responsible for governing production and pre-production releases across MMC applications, payment rails, and shared platform services. This role serves as the central coordination point between Application Teams, DevOps, QA, Production Support, Architecture, Infrastructure, Product, and Leadership to ensure changes are planned, approved, validated, deployed, and closed with minimal operational risk.
- • The position owns release governance, change readiness, dependency management, release execution, and continuous improvement while driving a predictable, auditable, and scalable release operating model for MMC.
- • A key expectation of this role is the use of AI-driven tools and automation to improve release quality, reduce manual effort, identify deployment risks earlier, and accelerate release decision-making.
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- Key Responsibilities
- 1. Release Governance & Calendar Management
- • Own the integrated MMC release calendar across production releases, hotfixes, emergency changes, and enterprise release windows.
- • Coordinate release schedules, change review milestones, approval deadlines, testing signoffs, blackout periods, and implementation windows.
- • Maintain visibility of release status, risks, owners, dependencies, and readiness across MMC applications and payment rails.
- • Drive adherence to release governance standards and enterprise change management requirements.
- 2. Change Readiness & ServiceNow Governance
- • Ensure production changes are submitted, reviewed, and approved within required timelines.
- • Validate completeness of change records, implementation plans, validation procedures, backout strategies, risk assessments, and approvals.
- • Identify and resolve readiness gaps before production implementation.
- • Drive accurate closure, documentation, evidence collection, and compliance with change management standards.
- 3. Release Readiness, Risk & Dependency Management
- • Lead release readiness reviews and Go/No-Go decision processes.
- • Assess technical dependencies across applications, APIs, databases, cloud platforms, Kubernetes environments, batch processes, and shared services.
- • Coordinate impact analysis for cross-rail and shared-platform changes.
- • Ensure validation coverage, production support readiness, monitoring readiness, and contingency planning for high-risk deployments.
- 4. Release Execution & Recovery Planning
- • Coordinate release execution activities, deployment sequencing, communications, validation checkpoints, and escalation procedures.
- • Partner with engineering teams to defi ne deployment, rollback, fallback, and recovery strategies.
- • Support complex production events and ensure clear communication during implementation windows.
- • Minimize customer impact through disciplined release controls and operational excellence.
- 5. Metrics, Reporting & Continuous Improvement
- • Develop dashboards and executive reporting for release health, change compliance, release risk, implementation success rates, emergency changes, and closure discipline.
- • Conduct post-release reviews and identify recurring process, tooling, or governance issues.
- • Drive automation and process improvements that increase release quality and reduce operational overhead.
- • Support audit readiness through accurate change records, approvals, validation evidence, and release documentation.
- 6. AI-Driven Release Intelligence & Automation
- • Leverage AI tools to automate release readiness reviews, change validation, dependency analysis, impact assessments, and release reporting.
- • Use AI-powered insights to identify release risks, predict implementation issues, and recommend remediation actions.
- • Partner with engineering teams to implement AI-assisted release governance, operational analytics, workflow automation, and executive reporting.
- • Continuously evaluate emerging AI capabilities to improve release effectiveness, compliance, and deployment success rates.
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- Required Experience
- • 7+ years of experience in Change Management, Release Management, Production Governance, DevOps Operations, Site Reliability Engineering, or IT Service Management.
- • Experience managing enterprise release calendars, change governance processes, CAB reviews, deployment readiness, and production implementation activities.
- • Strong working knowledge of ServiceNow Change Management, including Change Records, CTASKs, approvals, configuration items, implementation workflows, and reporting.
- • Experience coordinating large-scale releases across application, infrastructure, cloud, platform engineering, and support organizations.
- • Understanding of CI/CD pipelines, Kubernetes, cloud platforms, APIs, databases, observability platforms, and production support processes.
- • Experience with release risk management, deployment validation, incident response, rollback planning, and operational governance.
- • Strong executive communication and stakeholder management skills.
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- • AI & Automation Experience (Required)
- • Experience using AI copilots, generative AI platforms, or machine learning tools to improve operational processes.
- • Ability to use AI for release planning, impact analysis, risk identification, change record quality reviews, and knowledge management.
- • Experience leveraging AI for dashboard creation, executive reporting, workflow automation, and operational analytics.
- • Ability to write effective prompts and use AI-assisted tools to summarize data, identify patterns, generate insights, and support release decision-making.
- • Understanding of responsible AI usage, governance, data security, and risk management in enterprise environments.
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- Preferred Experience
- • Banking, Payments, Financial Services, or other highly regulated environments.
- • Experience supporting payment platforms such as RTP, ACH, Wires, FedNow, Zelle, Internal Transfers, Bill Pay, or Card Processing.
- • Experience with ServiceNow, Jira, GitLab, Jenkins, SHIELD, Rancher/Kubernetes, Datadog, Splunk, Kibana, Azure, Power BI, and Confluence.
- • Experience supporting cloud migrations, resiliency programs, failover testing, production modernization initiatives, or platform engineering organizations.
- • Familiarity with ITIL Change, Release, Incident, and Problem Management practices.
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- Ideal Candidate Profile
- • A proactive, technically strong, and highly organized leader who can balance governance with operational execution. This individual is comfortable driving accountability across engineering teams, communicating complex technical risks in plain English, and using AI to automate routine work, improve decision-making, and enhance release quality across MMC.
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
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