Product Owner, Enterprise AI Assistant

Ulta Beauty, Inc.•Bolingbrook, IL

About The Position

Ulta Beauty is building best-in-class Data & AI capabilities with the goal of creating enterprise value through AI, making a significant impact on the company's already rapid growth. A core focus of this effort is the Enterprise AI Assistant, enabling teams to work smarter through intelligent, scalable AI experiences. We are seeking an AI Product Owner to lead the delivery and scale-out of the Enterprise AI Assistant across the enterprise. The Product Owner is a core member of the Agile Scrum team and is responsible for the execution and delivery of the product roadmap and its initiatives. The Product Owner is responsible for driving the day-to-day direction of product development and partners closely with the Product Manager to define the product roadmap supporting the strategic vision for their team. They are responsible for the creation and maintenance of the Product Backlog including its content, availability, and prioritization. The Product Owner will create and refine user stories and set priorities for sprint planning to ensure the correct acceptance criteria is defined for the product features. They collaborate with business, field, and DC teams across the enterprise to onboard, scale, and operationalize AI assistant use cases that will unlock measurable productivity and quality gains. The Product Owner has a deep understanding of the target market/industry and builds close relationships with key stakeholders to ensure that the team’s effort is aligned with overall strategy. They will manage dependencies with other team’s functions through identifying, building, and managing strategic partnerships across the different teams while acting as a liaison between the delivery team and business, ensuring clear communication and alignment.

Requirements

Bachelor’s degree in Computer Science, Engineering, Business, or related field required
4+ years relevant work experience with at least 2+ years in a product owner role and experience operating in an agile (scrum) environment, focus on AI or technology-driven products preferred
Strong understanding of AI technologies including machine learning, natural language processing, computer vision, and data analytics
Experiencing using tools, such as Jira, Confluence, Figma, and SharePoint
Experience leading teams in an agile setting such as facilitating ceremonies, managing a backlog, developing a release plan, and writing user stories.
Advanced analytical skills to assess complex business operations and backend technology integrations
Strong collaborator with cross-functional teams across design, product, & technology
Strong communication skills with ability to influence stakeholders, communicate complex concepts, and align the organization on required decisions
Strong problem solver with the ability to manage and lead the team to a solution
Experimental mindset to drive innovation, empower others to fail, learn

Responsibilities

Set & communicate a clear Enterprise AI Assistant product vision to team members & relevant stakeholders focused on adoption and business impact
Lead business & technical development teams through the agile development lifecycle
Accountable for tracking & communication of AI Assistant success metrics & KPIs (productivity, quality, adoption)
Participate in Quarterly Program Increment Planning sessions to align on objectives, prioritize initiatives, and ensure successful execution of product strategies
Facilitate release planning with stakeholders as well as lead required product demos
Utilize knowledge of user and business feedback to create epics, user stories, and acceptance criteria
Advocate for business stakeholders by providing timely actionable insights
Develop Agile best practices and engage in the spirit of continuous improvement
Re-prioritize and update user stories based on shifting priorities, timelines, & feedback
Collaborate with enterprise business, field, and DC teams to support onboarding, enablement, and adoption of AI Assistant Use Cases
Partner with the Tech, Platform, and Security teams to ensure the AI Assistant is stable, scalable, and aligned with enterprise standards
Champion the adoption of agile and product development practices focused on delivering value by partnering with business stakeholders and mentoring other teams
Acts as the voice of enterprise, field, and DC user, advocating for productivity, quality, and responsible AI usage
Partner with third party AI and platform vendors to ensure delivery, governance, and rollout alignment