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-timePolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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

AI Project ManagementGenerative AI KnowledgeExpert-Level Jira ProficiencyAgile MethodologiesAI Governance Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI AgentsEnd-to-End SDLCBacklog PrioritizationAutomationData ManagementProduct DeliveryRisk ManagementTool IntegrationValidation

Soft Skills

Analytical SkillsFacilitation SkillsNegotiation SkillsProblem-Solving Skills

Tools & Technologies

Microsoft Copilot StudioAzure AI FoundryGitHub CopilotMicrosoft Power PlatformAzure DevOpsConfluenceGitHub

Certifications & Qualifications

PMPPRINCE2CSPOCSMPSMSAFe

Industry Keywords

AI GovernanceResponsible AISecurityPrivacyRegulated Environments

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
Hands-on experience delivering AI agents, copilots, developer productivity solutions or intelligent automation
Experience with Microsoft Copilot Studio, Azure AI Foundry, GitHub Copilot or Microsoft Power Platform
Proficiency with Azure DevOps, Confluence, GitHub or comparable product and engineering delivery tools
Experience with AI evaluation, data and AI governance, responsible AI, security, privacy, validation or regulated environments
Project management, product management or Agile certification, such as PMP, PRINCE2, CSPO, CSM, PSM or SAFe
Bachelor's degree in Information Systems, Computer Science, Engineering or a related field (nice to have)