About the role
- Lead AI and automation project lifecycles from initiation to delivery using Agile, Scrum, and agentic development methodologies.
- Define, manage, and track project plans, milestones, and deliverables for AI initiatives.
- Collaborate with product owners, architects, and AI teams to ensure effective scope management and prioritization.
- Drive daily stand-ups, sprint planning, and retrospectives to maintain team velocity and focus.
- Work closely with AI engineers, testers, and data scientists to ensure alignment between technical execution and business goals.
- Identify project risks, manage dependencies, and ensure proactive mitigation.
- Manage stakeholder communication, governance, and reporting for senior client leadership.
- Support AI project roadmapping, backlog grooming, and cross-functional coordination across build, test, and deployment streams.
- Ensure consistent usage of project tools like JIRA, Confluence, Miro, and other collaboration platforms.
- Champion AI-aware delivery practices — enabling agentic workflows, prompt iteration, and intelligent task management.
- 6–12 years of experience in project or program management, preferably in AI, analytics, or digital transformation domains.
- Proven experience with Agile and Scrum methodologies; Scrum certification preferred.
- Exposure to AI project delivery, including LLMs, automation, or data-driven solutions.
- Hands-on experience using JIRA, Confluence, and Agile lifecycle tools.
- Strong understanding of end-to-end delivery processes — from ideation through build, test, and deployment.
- Excellent communication and stakeholder management skills; ability to engage C-level and business leaders confidently.
- Strategic thinker with a problem-solving mindset and ability to navigate ambiguity.
- Comfortable working in cross-functional teams spanning AI, product, UX, and engineering disciplines.
- Familiarity with AI concepts, terminologies, and frameworks (e.g., LLMs, MCP, agentic AI, Autogen).
- Prior experience managing multi-disciplinary teams across AI, data, and software engineering.
- Exposure to DevOps and CI/CD environments.
- Capability to operate as a Product Owner and bridge business–technology objectives.
- Strong analytical, planning, and presentation skills with an “out-of-the-box” approach to problem solving.
- Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
- Certifications: PMP, CSM, SAFe, or AI Project Management credentials preferred.
- Drive AI-first programs for global enterprises across diverse industries.
- Collaborate with world-class architects, data scientists, and AI engineers.
- Experience the future of project management through agentic and AI-driven delivery frameworks.
- Culture that values innovation, autonomy, and continuous learning.