[Hiring] SDLC & Agentic Delivery Lifecycle Governance Lead @MRIoA

Role Description

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.

Qualifications

• 8+ years of experience in SDLC governance, PMO, software engineering, DevOps, or technology delivery leadership.
• 5+ years of experience developing and managing enterprise software delivery processes and governance frameworks.
• Strong analytical, communication, facilitation, and stakeholder management skills.
• Experience supporting AI, Generative AI, Copilot, or Agentic AI initiatives preferred.
• Experience implementing governance and controls within regulated environments preferred.

Requirements

• Hands-on experience administering and configuring:
  • Jira
  • Confluence
  • GitLab
  • SharePoint
• Strong understanding of:
  • Agile/SAFe
  • Waterfall
  • Hybrid delivery methodologies
  • DevOps and CI/CD practices
• Experience defining KPIs, governance metrics, scorecards, and executive dashboards.
• Experience performing process audits, compliance reviews, and maturity assessments.

Benefits

• 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.

Company Description

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.

Major Responsibilities or Assigned Duties

• 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
    • 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
    • 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.

Education

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

Preferred Qualifications

• Experience developing or governing Agentic AI and Generative AI delivery processes.
• Familiarity with:
  • Microsoft Copilot ecosystem
  • Azure AI Foundry
  • Azure OpenAI
  • LLMOps practices
  • AI governance frameworks
  • Responsible AI principles
• Experience implementing process automation and workflow orchestration.
• Healthcare industry experience strongly preferred.
• Understanding of healthcare regulatory and compliance frameworks, including HIPAA and HITRUST.