Project Manager I

Project Manager – DIA AI/ML Organization: Data, Insights & Applications (DIA) – AI/ML Location: Bengaluru, India (Hybrid : Work from Office) Experience : 6-10 Yrs ________________________________________ Role Overview We are seeking a Project Manager – DIA AI/ML to lead the end to end delivery of AI/ML and GenAI initiatives across Applied Materials. This role partners closely with AI/ML engineers, data teams, platform, security, and business stakeholders to ensure projects are delivered with clear scope, predictable timelines, strong governance, and production readiness. ________________________________________ Key Responsibilities • Must Have : Indepth understanding of ML, DL, Hyperscalar AI Solutions (Preferred Azure) • Must Have: Worked on multiple GenAI and ML/DL Solution deployment. Expertise in entire SDLC, project closure, ROI calculation, Business use case presentation etc. • Lead AI/ML project delivery from intake and planning through execution, rollout, and closure • Drive requirements kickoff, define scope and success criteria, and support effort and cost estimation (VROM) • Establish and manage project governance, including Jira boards, Confluence spaces, milestones, and delivery cadence • Coordinate cross functional teams across AIML, Data, Engineering, Platform, Security, and Operations • Track progress, risks, dependencies, and mitigation plans; communicate status to stakeholders and leadership • Ensure infra, data access, security, and compliance readiness for AI/ML solutions across DEV/QA/PROD • Support rollout, transition, documentation, and operational handoff • Capture lessons learned and contribute to continuous improvement of DIA delivery practices ________________________________________ Skills & Experience • Experience managing AI/ML, GenAI, or data driven projects in an enterprise environment • Strong understanding of Agile and hybrid delivery models • Excellent stakeholder management and cross team coordination skills • Hands on experience with Jira, Confluence, and modern delivery tooling • Ability to manage ambiguity, dependencies, and technical trade offs effectively • Good to have: Knowledge of the semiconductor domain and experience working on semiconductor or manufacturing focused products • Good to have: Prior product management experience, including exposure to roadmaps, product requirements, or business driven prioritization ________________________________________ Preferred Qualifications • PMP or similar project management certification (preferred) • Experience working with cloud platforms, data pipelines, or AI/ML platforms • Exposure to governance, security, or compliance processes in enterprise environments ________________________________________ What Success Looks Like • AI/ML initiatives delivered on time, within scope, and with high quality • Stakeholders aligned and informed throughout the project lifecycle • Solutions deployed with strong governance, scalability, and operational readiness