SDLC & ADLC Governance Lead (Remote)

Founded in 1983, we’re a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.

A competitive compensation package.

Benefits include healthcare, vision, and dental insurance, a generous 401k match, paid vacation, personal time, and holidays.

Growth and training opportunities.

An award-winning remote working environment.

MRIoA is seeking an experienced and strategic SDLC & Agentic Delivery Lifecycle (ADLC) Governance Lead to establish, manage, and continuously improve the enterprise software and AI delivery governance framework. This role will be responsible for defining and operationalizing standards, controls, processes, metrics, and tooling that support the successful delivery of both traditional software solutions and AI-powered applications, copilots, and autonomous agents.

The ideal candidate will possess a strong combination of software delivery governance, process engineering, audit, compliance, Agile/DevOps practices, and hands-on platform administration experience. This individual will own enterprise lifecycle governance across development teams by standardizing processes, enhancing delivery visibility, implementing quality controls, and ensuring adherence to organizational and regulatory requirements.

The role will also lead the development of an enterprise Agentic Delivery Lifecycle (ADLC) framework governing the design, deployment, monitoring, and retirement of solutions, including Generative AI, AI Agents, Copilots, and Agentic AI platforms.

SDLC & ADLC Governance

Develop, maintain, and continuously improve enterprise SDLC and ADLC standards, policies, procedures, templates, and governance frameworks.

Establish lifecycle governance models supporting: Traditional application development, AI-enabled application, Copilot solutions, & Agentic AI systems / Multi-agent solutions

Define and manage delivery stage gates, approval processes, quality checkpoints, and governance reviews.

Maintain SDLC and ADLC process documentation, playbooks, standards, and reference materials.

Partner with development, architecture, security, QA, Product, and operations teams to ensure consistent execution of lifecycle processes.

Agentic Delivery Lifecycle (ADLC) Development

Lead the design and implementation of enterprise ADLC standards.

Define/Support governance processes for: AI use case intake and prioritization, Prompt engineering standards, Human-in-the-loop controls, Agent testing and evaluation framework, Production deployment governance, and AI observability and monitoring framework

Establish AI quality and evaluation frameworks including: Accuracy, Grounding, Hallucination monitoring, Reliability. Security and Responsible AI compliance

Develop controls for AI risk management, model traceability, and regulatory compliance.

Process Design & Continuous Improvement

Conduct process assessments and maturity evaluations across software delivery teams.

Identify opportunities to streamline workflows, reduce delivery friction, and improve engineering productivity.

Drive continuous improvement initiatives leveraging Agile, Lean, DevOps, and engineering best practices.

Facilitate process workshops, retrospectives, and governance reviews.

Lead change management initiatives supporting process adoption and organizational transformation.

Tool Administration & Platform Governance

Jira

Configure and maintain workflows, issue types, screens, permissions, automation rules, dashboards, and reporting structures.

Establish enterprise delivery and governance reporting standards.

Confluence

Design and maintain enterprise knowledge repositories, standards documentation, process libraries, and governance artifacts.

Develop templates supporting SDLC and ADLC compliance.

GitLab

Define and govern branching strategies, merge request standards, release management processes, and CI/CD controls.

Support DevOps maturity and software quality initiatives.

SharePoint

Administer governance repositories and documentation platforms.

Maintain lifecycle documentation, policies, procedures, and audit evidence.

Metrics, Reporting & Analytics

Develop and maintain enterprise SDLC and ADLC performance metrics.

Create dashboards and executive reporting to measure: Delivery predictability, Sprint effectiveness, Release frequency, Defect leakage, Change success rates, Deployment quality, Technical debt trends, Process adherence, AI adoption, Agent performance, and Responsible AI compliance

Analyze trends and provide recommendations to improve operational effectiveness and delivery maturity.

Audit, Compliance & Risk Management

Develop and execute SDLC and ADLC audit programs.

Conduct compliance reviews of projects, releases, and AI initiatives.

Assess adherence to lifecycle policies, quality standards, and regulatory requirements.

Identify process risks, control gaps, and opportunities for improvement.

Develop corrective action plans and track remediation efforts.

Support internal and external audit activities.

Audit vendor performance against defined SLAs

Own and lead vendor SOW reviews for compliance

Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or related field required.

Master's degree preferred.

Preferred Certifications

PMP

PMI-ACP

SAFe Agilist

Certified Scrum Master (CSM)

ITIL Foundation

Lean Six Sigma Green Belt or Black Belt

Atlassian Certified Professional

GitLab Certified Professional

Microsoft AI certifications preferred

Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).

Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

Sensitive Personal Info : MRIoA may collect sensitive personal info such as real name, nickname or alias, postal address, telephone number, email address, Social Security number, signature, online identifier, Internet Protocol address, driver’s license number, or state identification card number, and passport number.

Data Access and Correction: Applicants can access their data and request corrections. For questions and/or requests to edit, delete, or correct data, please email the Medical Review Institute at [email protected].