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Tata Consultancy Services · Phoenix, AZ

# CyberOps AI PM

Phoenix, AZ $100,000-$105,000 Security 

Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since.
[Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/418325J)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / CyberOps AI PM

## Job description

### CyberOps AI PM Must Have Technical/Functional Skills
- 3+ years supporting cybersecurity or technology programs.
- Understanding of SOC operations, threat detection, and incident response workflows.
- Experience coordinating complex technical deployments.
- Familiarity with SIEM, SOAR, EDR, and security operations technologies.
- Strong project management, reporting, and stakeholder coordination skills.

### Role Summary

Support deployment of agentic SOC capabilities, AI-assisted investigations, analyst copilots, and workflow automation initiatives across Cyber Detection & Response. Coordinate delivery activities, integrations, documentation, reporting, and operational readiness efforts.

### Responsibilities
- Coordinate implementation activities across variety of internal teams.
- Track project milestones, dependencies, risks, and action items.
- Assist with navigating internal processes and procedures.
- Coordinate testing, deployment, and operational readiness activities.
- Maintain project documentation, runbooks, and implementation artifacts.
- Coordinate activities with vendors and implementation partners.
- Track adoption and performance metrics. Salary Range- $100,000-$105,000 a year

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Aug 1, 2026
- Last checked: Aug 1, 2026
- Listed for: Under a day
- Location: Phoenix, AZ
- Pay: $100,000-$105,000[Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/418325J)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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