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Commit

SDLC Project Manager

Commit

. Own the Agentic SDLC roadmap and delivery lifecycle, from use-case discovery and prioritization through design, build, validation, rollout and scaling .

Posted 11/12/2026full-timeRemote • NetherlandsMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing complex technology projects with a focus on AI, software development, and digital products. Proficient in Agile methodologies, SDLC processes, and cross-functional team leadership to drive product delivery and stakeholder engagement.

Highest-signal resume keywords
5+ Years Managing Technology ProjectsExpert-Level Jira ProficiencyWorking Knowledge of Generative AIStrong Command of Agile Delivery MethodsProduct Management Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentAIData AutomationSDLC ProcessesBacklog PrioritizationOutcome MeasurementTool IntegrationHuman OversightRisk ManagementVendor Management
Soft Skills
Analytical SkillsFacilitation SkillsNegotiation SkillsProblem-Solving Skills
Tools & Technologies
JiraAzure DevOpsConfluenceGitHubMicrosoft Copilot StudioAzure AI FoundryGitHub CopilotMicrosoft Power Platform
Certifications & Qualifications
PMPPRINCE2CSPOCSMPSMSAFe
Industry Keywords
AI GovernanceResponsible AISecurityPrivacyValidationRegulated EnvironmentsAgentic WorkflowsOrchestrationQuality GatesStakeholder Communication

Tech Stack

Tools & technologies
AzurePMPSDLC

About the role

Key responsibilities & impact
  • Own the Agentic SDLC roadmap and delivery lifecycle, from use-case discovery and prioritization through design, build, validation, rollout and scaling
  • Manage the portfolio of AI agents across requirements, development, code review, testing, release, deployment and operations
  • Partner with Product and Engineering leaders to define capabilities, user journeys, acceptance criteria, backlog priorities and target outcomes
  • Coordinate cross-functional teams across AI, application development, data, architecture, QA, DevOps, security, privacy and platform engineering
  • Manage plans, resources, vendors, environments, integrations, risks and dependencies across parallel workstreams
  • Establish governance and quality gates covering human oversight, security, responsible AI, traceability and production readiness
  • Drive pilots, adoption and stakeholder communication, using feedback and delivery insights to improve the roadmap and reusable patterns

Requirements

What you’ll need
  • 5+ years managing complex technology projects or programs involving software development, AI, data, automation or digital products
  • Working knowledge of generative AI, AI agents and agentic workflows, including orchestration, tool integration, evaluation and human oversight
  • Product management or product delivery experience, including discovery, roadmap definition, backlog prioritization and outcome measurement
  • Expert-level Jira proficiency, including workflow and board configuration, backlog and release management, dashboards, automation and delivery metrics
  • Deep understanding of end-to-end SDLC processes, roles, controls and engineering practices
  • Proven ability to lead global, cross-functional teams and manage scope, resources, risks, dependencies, vendors and senior stakeholder expectations
  • Strong command of Agile and hybrid delivery methods, with excellent analytical, facilitation, negotiation and problem-solving skills
  • Nice to have: Hands-on experience delivering AI agents, copilots, developer productivity solutions or intelligent automation
  • Nice to have: Experience with Microsoft Copilot Studio, Azure AI Foundry, GitHub Copilot or Microsoft Power Platform
  • Nice to have: Proficiency with Azure DevOps, Confluence, GitHub or comparable product and engineering delivery tools
  • Nice to have: Experience with AI evaluation, data and AI governance, responsible AI, security, privacy, validation or regulated environments
  • Nice to have: Project management, product management or Agile certification, such as PMP, PRINCE2, CSPO, CSM, PSM or SAFe
  • Nice to have: Bachelor's degree in Information Systems, Computer Science, Engineering or a related field