SDLC & ADLC Governance Lead; Remote
Salt Lake City, Salt Lake County, Utah, 84193, USA
Listed on 2026-10-16
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IT/Tech
Change Management, IT Business Analyst -
Business
Change Management
Who We Are - Motivated by Purpose. Powered by Clinical Expertise.
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.
Excellence starts with our people. WE OFFER- 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/Dev Ops 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.
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.
- 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.
- 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, Dev Ops, and engineering best practices.
- Facilitate process workshops, retrospectives, and governance reviews.
- Lead change management initiatives supporting process adoption and organizational transformation.
- Configure and maintain workflows, issue types, screens, permissions, automation rules, dashboards, and reporting structures.
- Establish enterprise delivery and…
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