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описание
The company is building an enterprise delivery engine that combines product thinking, engineering excellence, and scalable execution across data, digital automation, and applied AI. It is a delivery factory with more than 200 engineers.
задачи
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
требования
5+ Years managing complex technology projects or programs in software, 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, backlog prioritization, and outcome measurement
Expert-level Jira proficiency
Deep understanding of end-to-end SDLC processes
Proven ability to lead global cross-functional teams and manage scope, resources, risks, vendors, and senior stakeholders
Knowledge of Agile and hybrid delivery methods
Будет плюсом: experience delivering AI agents, copilots, developer productivity solutions, or intelligent automation; Microsoft Copilot Studio, Azure AI Foundry, GitHub Copilot, or Power Platform; Azure DevOps, Confluence, or GitHub; AI evaluation, AI governance, responsible AI, security, privacy, or regulated environments; PMP, PRINCE2, CSPO, CSM, PSM, or SAFe certification