Agentic SDLC Project Manager
RED is looking for an Agentic SDLC Project Manager for a 60 week project/REMOTE in India, for our biggest Global Pharma client!
Role Purpose
DADAI, Data, Analytics, Digital & AI Delivery, is building an enterprise delivery engine that combines product thinking, engineering excellence and scalable execution to turn business priorities into measurable outcomes across data, digital automation and applied AI.
The Agentic SDLC Project Manager leads the internal program to design, build and scale AI agents across the software development lifecycle. The role turns the Agentic Engineering vision into an executable roadmap and aligns product, engineering, AI and business stakeholders to deliver enterprise-ready capabilities and measurable value.
Key Responsibilities
- 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 leads 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.
Mandatory Skills & Experience
- 5+ years managing complex technology projects or programs involving software development, AI, data, automation or digital products.
- Deep understanding of end-to-end SDLC processes, roles, controls and engineering practices.
- Product management/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.
- Knowledge of generative AI, AI agents and agentic workflows, including orchestration, tool integration, evaluation and human oversight.
- Ability to lead global, cross-functional teams and manage scope, resources, risks, dependencies, vendors and senior stakeholder expectations.
- Strong Agile and hybrid delivery methods, with excellent analytical, facilitation, negotiation and problem-solving skills.
Preferred Qualifications
- Hands-on experience, AI agents, copilots, developer productivity solution/intelligent automation.
- Exp with Microsoft Copilot Studio, Azure AI Foundry, GitHub Copilot or Microsoft Power Platform.
- Azure DevOps, Confluence, GitHub or comparable.
- Exp w/ AI evaluation, data and AI governance, responsible AI, security, privacy, validation Project management, product management or Agile certification, such as PMP, PRINCE2, CSPO, CSM, PSM or SAFe.
If this role fits your skillset, attach your CV in WORD format to get started!