Technical Product Owner- AI

Need Product Owner, not manager, who can be onsite at Bellevue, WA

Technical Product Owner – AI Implementation

Location: Bellevue, WA (Onsite- 5 days a week)

Role Overview:

As a Technical Product Owner specializing in AI implementation, you will bridge the gap between technical teams and business stakeholders. Your primary responsibility will be to define and execute the product vision, ensuring alignment with the company’s strategic goals. You will lead the development and deployment of AI-driven products, focusing on innovation, compliance, and ethical considerations.

Key Responsibilities:

Defining Product Vision and Strategy: Clearly articulate the product’s vision, ensuring it aligns with strategic objectives. Identify market opportunities where AI provides a competitive edge and define a roadmap to guide the development team .
Prioritizing the Product Backlog: Manage the product backlog, prioritizing features critical to the project’s success. A deep understanding of both AI technologies and business implications is essential 
Stakeholder Communication and Management: Serve as the primary point of contact between the development team and business stakeholders, ensuring clear communication and managed expectations 
Ensuring Compliance and Ethical Considerations: Oversee compliance with relevant regulations and ethical standards, particularly in areas like data privacy, bias, and transparency 
Facilitating Team Collaboration: Work closely with cross-functional teams, including data scientists, AI engineers, and UX designers, to ensure the product
 Essential Skills:
Technical Understanding of AI: Knowledge of AI domains such as machine.
Business Acumen: Ability to translate market research and customer needs into actionable product features 
Agile Methodologies: Familiarity with Agile principles and frameworks like Scrum or Kanban is often essential 
Leadership and Communication: Skills in leading teams and managing stakeholder communication are critical 
Problem-Solving and Decision-Making: Ability to navigate uncharted territory in AI projects, making informed decisions under uncertainty
 

Essential Skills:

Technical Understanding of AI: Knowledge in AI domains such as machine learning.
Business Acumen: Ability to translate market research and customer needs into actionable product features.
Agile Methodologies: Familiarity with Agile principles and frameworks like Scrum or Kanban is often essential.
Leadership and Communication: Strong skills in leading teams and managing stakeholder communication.
Problem-Solving and Decision-Making: Ability to navigate uncharted territory in AI projects, making informed decisions under uncertainty.
This role is pivotal in delivering AI solutions that not only meet business needs but also adhere to ethical and regulatory standards, ensuring the company’s leadership in AI innovation.