Job Description :

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 :

1. Mandatory Requirements :

- In-depth understanding of ML, DL, Hyperscalar AI Solutions (Preferred Azure).

- Worked on multiple GenAI and ML/DL Solution deployment.

- Expertise in entire SDLC, project closure, ROI calculation, Business use case presentation etc.

2. Project Delivery :

- 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 tradeoffs 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.