Program Manager (contract)

Microsoft Corp.; Redmond; Hybrid; AUD 123,000 - 140,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) retirement plan

Life Insurance (Company paid)

Job summary

Allegis Global Solutions, staffing AllegisRole for Microsoft, seeks a Technical Program Manager to lead planning and delivery for a large-scale analytics environment in a hybrid Redmond setting. You will bridge Data Science with Analytics leaders, and drive the analytics roadmap, kanban planning, and AI-ready data capabilities while ensuring security and privacy.

This contract role emphasizes cross-functional leadership, stakeholder alignment, and decisive execution across multiple teams in a

Qualifications

• 5+ years of experience in technical program or project management, preferably within data or analytics environments.
• 3+ years of hands-on Agile backlog and roadmap management experience using Azure DevOps or a similar tool, including intake, Kanban planning, feature management, and delivery tracking
• 2+ years of experience working with data platforms and analytics workflows, including the use of SQL to explore data and clarify technical requirements
• Demonstrated experience delivering analytics, data platform, or technical programs end-to-end, including capturing requirements and coordinating cross-team dependencies through to completion
• Experience in gaming, consumer digital products, or similarly fast-paced consumer-facing industries is preferred but not required if strong private-sector technical program delivery experience is present
• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field, or equivalent practical experience
• Familiarity with Minecraft as a product and platform is expected prior to interviewing
• Strong technical program delivery skills with the ability to manage cross-team dependencies from requirements through to completion
• Hands-on experience with Agile delivery models including Kanban-based planning, backlog management, intake processes, and milestone tracking
• Proficiency with Azure DevOps (ADO) or a comparable work management and delivery tracking platform
• Working knowledge of SQL sufficient to explore data, clarify technical requirements, and communicate effectively with data platform and analytics engineering teams
• Familiarity with data platforms, analytics workflows, and data engineering or analytics engineering practices
• Awareness of security, privacy, data quality, and responsible AI considerations within data and analytics environments
• Excellent organizational, prioritization, and stakeholder management skills with the ability to communicate clearly across technical and non-technical audiences
• Ability to operate effectively in ambiguous, fast-scaling environments with competing priorities
• Experience coordinating shared data or analytics platform roadmaps with upstream teams and downstream users across multiple technical teams
• Familiarity with AI and ML use cases, data science workflows, and the model lifecycle sufficient to coordinate requirements and delivery with technical teams
• Experience using AI-assisted tools in program management workflows with human review and attention to responsible AI practices
• Experience supporting early-stage technology adoption through focused trials, stakeholder feedback, and incremental rollout

Responsibilities

• Own the Analytics Environment roadmap and demand intake process, 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 Program Managers or leaders to align delivery plans, governance, and dependencies supporting model development, training, optimization, and analytics reporting
• Coordinate with the Data Platform and other upstream teams to meet Analytics Environment needs, capturing gaps in data sources, capabilities, or services and tracking delivery through to completion
• Translate information needs and analytics requests into Azure DevOps Features and backlog items, and help manage Data Science or Analytics work items and backlogs when partnering directly with their leaders
• Track delivery and cross-team dependencies, keeping leadership, studio stakeholders, and partner Program Managers informed of progress, timelines, risks, and commitments through clear and timely communication
• Work with technical leads to prioritize practical AI and ML use cases and their trusted, reusable data foundations, translating requirements into actionable delivery plans
• Support focused trials of AI-assisted planning, documentation, and delivery workflows, coordinating human review, capturing lessons learned, and expanding adoption only where trials demonstrate clear value
• Clarify technical requirements with engineering and data science teams using working SQL knowledge to explore data and validate assumptions
• Maintain delivery transparency and predictability by surfacing changes, blockers, and risks early to all relevant stakeholders

Skills

Agile backlog management

Azure DevOps

SQL

Data analytics

Cross-functional collaboration

Stakeholder management

Technical program delivery

Gaming industry knowledge

Education

Bachelor's degree in Computer Science or related field

Tools

Azure DevOps

Job description

Program Manager (Contract)

Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.

Summary

We are seeking an experienced Technical Program Manager to lead planning and delivery for a large-scale analytics environment within a globally recognized gaming studio. In this hybrid role based out of the Redmond, WA area, you will report to the Director of the Analytics Environment and serve as the connective tissue between Data Science and Analytics leaders, Studio stakeholders, and upstream Data Platform teams. You will own the analytics roadmap and demand intake process, drive Kanban-based monthly planning, and ensure that delivery remains focused, transparent, and aligned with studio priorities. As the organization embarks on an AI-native journey, you will help explore practical AI-assisted workflows and AI-ready data capabilities with careful attention to security, privacy, and responsible AI principles. This is a high-impact, cross-functional role that directly shapes how analytics capabilities are prioritized and delivered across the studio, enabling data scientists and engineers to focus on their highest-value work.

Program Manager (Contract)

Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.

Summary

We are seeking an experienced Technical Program Manager to lead planning and delivery for a large-scale analytics environment within a globally recognized gaming studio. In this hybrid role based out of the Redmond, WA area, you will report to the Director of the Analytics Environment and serve as the connective tissue between Data Science and Analytics leaders, Studio stakeholders, and upstream Data Platform teams. You will own the analytics roadmap and demand intake process, drive Kanban-based monthly planning, and ensure that delivery remains focused, transparent, and aligned with studio priorities. As the organization embarks on an AI-native journey, you will help explore practical AI-assisted workflows and AI-ready data capabilities with careful attention to security, privacy, and responsible AI principles. This is a high-impact, cross-functional role that directly shapes how analytics capabilities are prioritized and delivered across the studio, enabling data scientists and engineers to focus on their highest-value work.

Job Responsibilities

• Own the Analytics Environment roadmap and demand intake process, 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 Program Managers or leaders to align delivery plans, governance, and dependencies supporting model development, training, optimization, and analytics reporting
• Coordinate with the Data Platform and other upstream teams to meet Analytics Environment needs, capturing gaps in data sources, capabilities, or services and tracking delivery through to completion
• Translate information needs and analytics requests into Azure DevOps Features and backlog items, and help manage Data Science or Analytics work items and backlogs when partnering directly with their leaders
• Track delivery and cross-team dependencies, keeping leadership, studio stakeholders, and partner Program Managers informed of progress, timelines, risks, and commitments through clear and timely communication
• Work with technical leads to prioritize practical AI and ML use cases and their trusted, reusable data foundations, translating requirements into actionable delivery plans
• Support focused trials of AI-assisted planning, documentation, and delivery workflows, coordinating human review, capturing lessons learned, and expanding adoption only where trials demonstrate clear value
• Clarify technical requirements with engineering and data science teams using working SQL knowledge to explore data and validate assumptions
• Maintain delivery transparency and predictability by surfacing changes, blockers, and risks early to all relevant stakeholders

Requirements

• 5+ years of experience in technical program or project management, preferably within data or analytics environments in the private sector
• 3+ years of hands‑on Agile backlog and roadmap management experience using Azure DevOps or a similar tool, including intake, Kanban planning, feature management, and delivery tracking
• 2+ years of experience working with data platforms and analytics workflows, including the use of SQL to explore data and clarify technical requirements
• Demonstrated experience delivering analytics, data platform, or technical programs end‑to‑end, including capturing requirements and coordinating cross‑team dependencies through to completion
• Experience in gaming, consumer digital products, or similarly fast‑paced consumer‑facing industries is preferred but not required if strong private‑sector technical program delivery experience is present
• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field, or equivalent practical experience
• Familiarity with Minecraft as a product and platform is expected prior to interviewing
• Strong technical program delivery skills with the ability to manage cross‑team dependencies from requirements through to completion
• Hands‑on experience with Agile delivery models including Kanban‑based planning, backlog management, intake processes, and milestone tracking
• Proficiency with Azure DevOps (ADO) or a comparable work management and delivery tracking platform
• Working knowledge of SQL sufficient to explore data, clarify technical requirements, and communicate effectively with data platform and analytics engineering teams
• Familiarity with data platforms, analytics workflows, and data engineering or analytics engineering practices
• Awareness of security, privacy, data quality, and responsible AI considerations within data and analytics environments
• Excellent organizational, prioritization, and stakeholder management skills with the ability to communicate clearly across technical and non‑technical audiences
• Ability to operate effectively in ambiguous, fast‑scaling environments with competing priorities
• Experience coordinating shared data or analytics platform roadmaps with upstream teams and downstream users across multiple technical teams
• Familiarity with AI and ML use cases, data science workflows, and the model lifecycle sufficient to coordinate requirements and delivery with technical teams
• Experience using AI‑assisted tools in program management workflows with human review and attention to responsible AI practices
• Experience supporting early‑stage technology adoption through focused trials, stakeholder feedback, and incremental rollout

Additional Details

• Location: Redmond, WA (Hybrid: 3 days/week)
• Duration: 7 months
• Pay Range*: $61 - $69 per hour
• Weekly Schedule: 40 hours
• Job Status: Non‑Exempt
• Application Deadline: Apply within 72 hours of the posting date to ensure consideration.

Benefit plans are available to eligible employees, with employee contributions and plan costs varying based on the coverage options selected.

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid short and long‑term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave)

Benefits are subject to change and may be subject to specific elections, plan, or program terms.

AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you require a reasonable accommodation related to the application or interview process due to a disability, please email [e-mail]. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed.

In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.

Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us.

• We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors.