Position Overview

The AI/ML Product Owner/Product Manager is responsible for identifying, defining, prioritizing, and managing AI and machine learning products, use cases, and capabilities that deliver measurable business value. This role serves as the primary bridge between business stakeholders, data domain teams, and the AI/ML delivery organization, ensuring that AI investments align with strategic objectives and enterprise priorities.

The Product Owner/Product Manager works within a federated AI Center of Excellence (COE) model, partnering closely with AI/ML Engineers, Data Engineers, Data Governance teams, and business leaders to drive the successful delivery, adoption, and scaling of AI-powered solutions across the enterprise.

Responsibilities

AI Product Strategy & Roadmap Management

Define and maintain the vision, strategy, and roadmap for assigned business function AI/ML products and capabilities.
Identify opportunities where AI can improve operational efficiency, customer experience, decision-making, or business performance.
Develop business cases, prioritization, and value realization plans for AI initiatives.
Align AI product priorities with enterprise strategic objectives, data domain roadmaps, and business outcomes.
Continuously assess emerging AI technologies and industry trends to identify innovation opportunities.

Use Case Identification & Prioritization

Partner with business functions to identify high-value AI opportunities.
Lead AI use case intake, evaluation, and prioritization processes.
Define problem statements, success criteria, and measurable business outcomes.
Facilitate prioritization based on feasibility, business impact, data readiness, and enterprise strategic alignment.
Maintain and manage the AI use case portfolio and backlog.

Product Ownership & Delivery Leadership

Act as Product Owner for AI/ML initiatives from ideation through deployment and adoption.
Create and maintain product backlogs, epics, features, and user stories.
Partner with AI/ML Engineers and Data Engineers throughout development and implementation.
Support Agile planning, sprint reviews, retrospectives, and release management activities.
Partner closely with AI/ML Engineers, Data Engineers, Data Scientists, Analytics teams, and Enterprise Architects.
Collaborate with Data Domain leadership to align use cases with enterprise data strategies.

Business Stakeholder and Cross-functional Alignment

Serve as the primary point of contact between business stakeholders and AI delivery teams.
Translate complex business challenges into actionable AI product requirements.
Communicate priorities, progress, risks, and value realization to leadership stakeholders.
Help drive organizational alignment around AI initiatives.

Value Realization & Adoption Management

Establish KPIs and outcome-based success metrics for AI products.
Monitor solution performance and business impact after deployment
Help develop adoption and change management strategies for AI-enabled capabilities.
Partner with business teams to ensure successful deployment and operational integration.

AI Governance & Responsible AI Alignment

Ensure AI products comply with enterprise governance, security, privacy, and Responsible AI requirements.
Partner with Data Governance and Compliance teams during product planning and execution.
Support documentation, risk assessment, and approval processes for AI initiatives.
Ensure business stakeholders understand AI capabilities, limitations, and risks.

Minimum Requirements

Bachelor's degree and at least 2 years of technical project/program management experience

Master's degree and at least 1 year of technical project/program management experience

At least 5 years of technical project/program management experience

Additional Requirements

Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

Desired Skills

Preferred 5-8 years of experience in Product Management, Product Ownership, Business Master's degree in Business Administration, Data Science, Information Systems, Engineering, or related field.
Transformation, Analytics, Data, or Digital Technology roles.
Experience managing complex cross-functional initiatives involving business and technical stakeholders.
Experience translating business requirements into actionable product and technology solutions.
Strong understanding of Agile product development methodologies
Experience delivering AI, machine learning, data analytics, or digital transformation initiatives.
Product Owner certification (CSPO, PSPO) or equivalent Agile experience.
Familiarity with machine learning concepts, AI platforms, and modern data architectures.
Experience working within large enterprise organizations and federated operating models.
Knowledge of Responsible AI, AI governance, and data governance frameworks.
Strong stakeholder management and executive communication skills.

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