Product Owner (AI & Analytics)

MLabs

$110K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in a product-related role such as Product Owner, Product Manager, or Business Analyst.
  • Strong expertise in Agile/Scrum methodologies, specifically with backlog management and user story creation.
  • Demonstrated success in delivering data-driven and digital products across cross-functional teams.
  • Excellent skills in stakeholder management, communication, and facilitation to bridge business and technical teams.
  • Experience in translating complex business requirements into actionable product features; strong analytical and prioritization skills.
  • Preferred experience with AI technologies, generative AI, and cloud-based data platforms.

Responsibilities

  • Own and manage product backlogs, roadmaps, and delivery plans for AI and analytics initiatives.
  • Partner with stakeholders to gather requirements and translate them into user stories and prioritized work items.
  • Lead Agile delivery activities like sprint planning, backlog refinement, and stakeholder alignment sessions.
  • Collaborate with cross-functional teams including data engineers, UX designers, and software engineers to deliver value.
  • Manage stakeholder expectations, prioritize competing tasks, and navigate risks throughout the product lifecycle.
  • Support product governance, change management, and continuous improvement of delivery processes.

Benefits

  • Opportunity to work on innovative AI and analytics projects that contribute significantly to business success.
  • Collaborative environment with cross-functional teams that encourages knowledge sharing and problem-solving.
  • Ability to influence product direction and drive initiatives that have a real impact on operational excellence.
Full Job Description
Product Owner (AI & Analytics) | About You

As a Product Owner (AI & Analytics), you will be responsible for driving the successful delivery of AI, analytics, and data-driven solutions that support business objectives and operational excellence. You will serve as the primary liaison between business stakeholders and technical teams, translating business needs into actionable product features, managing product backlogs and roadmaps, and ensuring delivery teams remain focused on high-value outcomes. The ideal candidate combines strong Agile product ownership experience with excellent stakeholder management skills and a passion for leveraging data, analytics, and AI to solve complex business challenges.

Product Owner (AI & Analytics) | Day-to-Day
  • Own and manage product backlogs, priorities, roadmaps, and delivery plans across AI, analytics, reporting, and digital product initiatives.
  • Partner with business stakeholders to gather requirements, define product capabilities, and translate business objectives into user stories, acceptance criteria, and prioritized work items.
  • Lead Agile delivery activities including backlog refinement, sprint planning, prioritization, reviews, and stakeholder alignment sessions.
  • Collaborate closely with cross-functional teams including data engineers, analytics teams, AI specialists, UX designers, and software engineers to deliver business value.
  • Manage stakeholder expectations, competing priorities, dependencies, risks, and changing business requirements throughout the product lifecycle.
  • Support product governance, release planning, change management, documentation, and continuous improvement of product delivery processes and Agile practices.

Product Owner (AI & Analytics) | Skills & Experience
  • 5+ years of experience as a Product Owner, Product Manager, Business Analyst, or related product delivery role, with ownership of product backlogs and roadmaps.
  • Strong Agile/Scrum expertise, including backlog management, user story creation, sprint planning, prioritization, and successful product delivery using Jira.
  • Proven experience delivering data, analytics, reporting, business intelligence, AI, or digital product initiatives in a cross-functional environment.
  • Excellent stakeholder management, communication, and facilitation skills, with the ability to bridge business and technical teams and influence decision-making.
  • Experience translating business requirements into product features and delivery plans, with strong analytical, problem-solving, and prioritization capabilities.
  • Preferred: Experience with AI, Generative AI, Machine Learning, Databricks, cloud-based data platforms, executive dashboards, or modern analytics architectures.

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