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Analytics Solutions

Senior Project Manager

Pay: Not specified

Posted: 4 days ago

Location: Glendale, CA (Hybrid)

Last Updated: 1 day ago

Hours: Full-Time

Expires: 10/12/2026

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What they do

A Project Manager manages work on projects with a defined scope, start and completion point. Leads project teams, manages project budgets and schedules; manages contractors and communications with stakeholders. May manage projects in construction, information technology or in other industries.

$117,174 / year median in California

-6% projected decline

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Job Description

Title:

Sr.

Project Manager Location:

Glendale, CA 91201

Duration:

Months Contract Additional Details:

Onsite Monday-Thursday (no exceptions), remote on Friday. The Project Manager will oversee applications supporting marketing platforms as well as StudioOne, studio rights application. Preference for candidates who have leveraged AI to create dashboards and manage risk. Must be flexible, proactive, eager to learn, willing to take initiative. Expect 2-3 rounds of interviews, including onsite interview. We are seeking a Project Manager to lead complex, cross-functional programs that bring together technology delivery and AI-enabled workflows. The Project Manager will oversee a portfolio of initiatives across production support and software development teams, ensuring alignment with strategic priorities, financial outcomes, and AI-enabled operating models. The Project Manager will serve as a liaison across engineering, product, and business stakeholders, translating strategy into execution while continuously optimizing for efficiency and scalability. Core Responsibilities Oversee programs end-to-end across the full lifecycle, including intake, strategy alignment, planning, execution, and value realization. Partner with product, engineering, and business leaders to translate strategic objectives into scalable program roadmaps and prioritized initiatives. Manage interdependencies across multiple teams and initiatives, ensuring alignment, risk mitigation, and cohesive execution across the portfolio. Design and maintain real-time program dashboards using modern analytics and AI-assisted tools to provide operational intelligence to leadership. Lead Agile program execution across Scrum, Kanban, and hybrid models, adapting delivery approaches to maximize team effectiveness. Facilitate key program ceremonies and leadership reviews, ensuring clarity, accountability, and alignment. Drive continuous improvement by identifying operational inefficiencies and implementing scalable solutions across teams. Support quarterly planning, OKRs, and portfolio prioritization, ensuring alignment with business goals and resource capacity. Experience and Skills Ability to leverage AI tools to enhance program delivery, reporting, and decision-making. Strong attention to detail and commitment to high-quality deliverables. Collaborative and inclusive team player with a proactive, hands-on working style. Action-oriented mindset with high standards for quality and performance. Strong conflict resolution and negotiation skills, with the ability to adapt to shifting priorities and support cross-functional team needs. Ability to communicate effectively across all levels of the organization, including technical leads, executives, and external vendors. Ability to resolve and escalate issues in a timely manner. Basic Qualifications 7+ years of experience in program management or technical project management. Proven experience managing complex, cross-functional programs across multiple teams and systems. Strong understanding of Agile methodologies and experience operating in hybrid delivery environments. Experience working with technical teams including software engineering, data, infrastructure, and UX. Experience developing and managing agents and agentic workflows to support project management activities, including task creation, status updates, insight collection, and day-to-day execution. Expertise using project management tools to execute programs and manage resources, such as Jira and Smartsheet. Certifications such as PMP, Scrum Master (CSM), or SAFe. Experience in media, entertainment, or production environments. Experience working with AI products, data platforms, or advanced analytics initiatives. Preferred Qualifications Bachelor s degree in Engineering, Computer Science, or a related field.