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New

Program Manager Tech 3

Skill
$60.00 - $68.00 / hr
United States, Washington, Redmond
Nov 11, 2026
Overview

Placement Type:

Temporary

Salary:

$60-68 Hourly

$60/hr - $68/hr

Start Date:

Dec 7, 2026

Duration:

18-months

Aquent has partnered with a world-renowned gaming studio to find a talented Technical Program Manager who will play a pivotal role in shaping the future of data and analytics for one of the most beloved gaming franchises in history. In this role, you will have a direct impact on how player data is leveraged to drive game development, optimize player experiences, and guide the studio's exciting journey into AI-assisted workflows. By bridging the gap between data science leaders, engineering teams, and studio stakeholders, you will transform complex data requirements into actionable roadmaps, ensuring that millions of players worldwide continue to enjoy seamless and engaging experiences.

The Opportunity

As a key driver of the analytics ecosystem, you will lead the planning and delivery of a robust data platform that powers studio-wide decision-making. You will collaborate closely with Data Science, Analytics, and Data Platform teams to align priorities, manage backlogs, and streamline delivery. This is an incredible opportunity to work at the intersection of gaming, data engineering, and cutting-edge AI, helping to implement practical AI-assisted workflows and trusted data foundations with a strong focus on security, privacy, and responsible technology adoption.

What You Will Do



  • Own the analytics environment roadmap and demand intake, balancing studio initiatives, stakeholder requests, and long-term platform investments.
  • Drive monthly Kanban-based planning and end-to-end feature delivery, keeping priorities, commitments, and milestones on track.
  • Partner with Data Science and Analytics leaders to align delivery plans, governance, and dependencies supporting model development, training, optimization, and reporting.
  • Coordinate with upstream data platform teams to capture gaps in data sources, capabilities, or services, tracking requirements through to completion.
  • Translate complex information needs and analytics requests into clear Azure DevOps (ADO) features and backlog items.
  • Track delivery and cross-team dependencies, keeping leadership and partner teams informed of progress, timelines, and commitments.
  • Work with technical leads to prioritize practical AI and Machine Learning use cases and their trusted, reusable data foundations.
  • Support focused trials of AI-assisted planning, documentation, and delivery workflows, coordinating human reviews and capturing lessons learned.


What You Bring (Required Qualifications)



  • Proven experience in project or program management, specifically within analytics, data platforms, or data-heavy environments.
  • Demonstrated success delivering technical programs, including capturing requirements and coordinating cross-team dependencies.
  • Familiarity with data platforms and analytics workflows, with a strong awareness of security, privacy, and data quality considerations.
  • Solid experience with Agile delivery models, backlog management, and hands-on use of Azure DevOps (ADO) or similar tools.
  • Working knowledge of SQL to explore data and clarify requirements with technical teams.
  • Strong organizational, prioritization, and stakeholder management skills.


Bonus Points (Preferred Qualifications)



  • Experience coordinating a shared data or analytics platform roadmap with upstream teams and downstream users across multiple technical teams.
  • Familiarity with AI/ML use cases, data science workflows, and the model lifecycle.
  • Exposure to data engineering and analytics engineering practices.
  • Experience using AI-assisted tools in program management or related workflows, with attention to responsible AI practices.
  • Experience supporting early-stage technology adoption through focused trials and incremental rollout.
  • Prior experience in the gaming industry or working with high-scale consumer digital products.
  • Ability to thrive and operate effectively in ambiguous, fast-scaling environments.

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