Technical Product Owner (Required Onsite 3-4 Days Per Week / Bellevue, WA)

TEKsystems•Bellevue, WA

1d•Hybrid

About The Position

This role offers the opportunity to be at the forefront of enterprise AI adoption, with real ownership, visibility, and influence over how generative AI and Copilot transform the way employees work at scale. You will directly shape AI strategy, adoption, and value realization across a complex organization undergoing significant digital transformation. We are seeking a Technical Product Owner to lead strategy, delivery, and adoption of Microsoft 365 Copilot and AI-driven productivity platforms across a large enterprise environment. This role owns the end-to-end product lifecycle for Copilot and M365 productivity capabilities, from intake and prioritization through delivery, adoption, and continuous optimization. This position plays a critical role in enabling responsible, governed use of generative AI at scale and serves as the connective tissue between IT, AI, security, data, and business stakeholders. The successful candidate will drive measurable productivity gains while ensuring solutions align with enterprise security, data governance, and responsible AI standards.

Requirements

Experience with generative AI, machine learning, or intelligent automation platforms
Familiarity with OpenAI or GPT-based services
Knowledge of cloud-native architectures, APIs, and automation frameworks
Experience in identity and access management or enterprise security concepts
AI/ML or Agile certifications
Proven experience as a Product Owner or Technical Product Owner in an Agile environment
Hands-on experience implementing and enabling Microsoft 365 Copilot or similar enterprise AI productivity platforms
Deep familiarity with M365 collaboration tools (Teams, OneDrive, SharePoint) and real-world productivity workflows
Strong ability to translate business needs into AI-enabled solutions and user stories
Experience prioritizing backlogs based on value, user impact, risk, readiness, and user impact
Solid understanding of AI governance, security standards, and responsible AI practices
Excellent communication and stakeholder management skills

Responsibilities

Take full ownership of enterprise M365 Copilot and AI productivity platforms, serving as the primary point of accountability for strategy, backlog prioritization, and delivery
Define and evolve the product vision, ensuring solutions deliver clear business value and measurable productivity improvements
Ensure all solutions adhere to enterprise security, data governance, and responsible AI principles
Develop deep familiarity with organizational workflows to identify high-impact AI and automation opportunities
Partner closely with business, IT, security, data, and AI stakeholders to gather and prioritize requirements
Conduct discovery sessions to uncover user pain points, workflow inefficiencies, and AI opportunities
Translate business needs into clear, actionable user stories, acceptance criteria, and technical requirements
Ensure proposed solutions align with the capabilities and constraints of Microsoft 365 Copilot and enterprise AI platforms
Own and manage the Copilot and M365 implementation backlog
Prioritize work based on business value, user impact, risk, readiness, technical complexity, and capacity
Collaborate with AI and engineering teams to sequence delivery in a thoughtful, governed, and sustainable way
Create and maintain a strategic roadmap for M365 and AI productivity solutions
Drive alignment with leadership on priorities, milestones, and timelines
Translate long-term AI strategy into actionable delivery plans
Stay ahead of evolving Copilot capabilities and AI trends to keep the roadmap forward-looking
Partner with IT infrastructure, security, legal, data, and business teams to ensure seamless integration into existing systems
Act as a trusted liaison between technical teams and business stakeholders
Coordinate with AI governance and compliance partners to meet enterprise standards
Define success metrics and acceptance criteria for AI-powered features (e.g., productivity gains, accuracy, user satisfaction)
Support UAT planning, testing, validation, and feedback capture
Ensure AI outputs are reliable, secure, and aligned to business intent before release
Support and coordinate enterprise rollout of new AI-powered features
Partner with change management, training, and digital experience teams to drive adoption
Develop enablement materials such as quick guides, prompt libraries, tutorials, and best practices
Facilitate hands-on enablement sessions, office hours, and enterprise “Promptathons”
Share reusable patterns and success stories to scale AI value across the organization
Monitor Copilot usage, performance, and adoption metrics
Leverage analytics and user feedback to drive continuous improvement
Propose and deliver enhancements, new features, and optimizations as needs evolve
Track outcomes to demonstrate impact and inform future investments