Product Owner

Product Owner – Marketing AI & Experience Data

Role Type: Product Owner  
Duration:6 months  
Location:  Remote

Position Overview

We are seeking an experienced Product Owner to translate Marketing AI and Experience Data strategy into scalable, reusable platform capabilities. This role will serve as the day-to-day Product Owner for assigned Marketing AI use cases, partnering with Marketing, Engineering, Architecture, Analytics, AI/ML, Program Management, and Operations teams.

The ideal candidate can turn ambiguous business needs into clear product requirements, prioritized backlogs, delivery roadmaps, and measurable outcomes. This person will ensure solutions are designed for enterprise reuse rather than as one-off tools for individual teams or business areas.

Key Responsibilities

- Define product vision, roadmaps, success measures, and delivery priorities for Marketing AI capabilities and use cases.
- Partner with Marketing stakeholders to assess business needs, clarify requirements, evaluate feasibility, and identify opportunities for scalable reuse.
- Serve as Product Owner for an engineering pod or micro-pods, managing backlog prioritization, refinement, sprint planning, dependencies, and delivery tradeoffs.
- Translate business needs into epics, user stories, acceptance criteria, decision points, and implementation plans.
- Lead discovery across business, technology, analytics, architecture, data science, and operations teams.
- Support delivery of capabilities related to data lineage, data quality, metadata, cataloging, call insights, feature engineering, feature cataloging, and reusable data assets.
- Evaluate business value, technical complexity, data movement, cost, compliance, security, privacy, responsible AI, and operational risk.
- Partner with Program Management to communicate roadmap status, risks, dependencies, decisions, and escalation needs.
- Define adoption, performance, quality, utilization, cost, and business-value metrics to guide ongoing improvement.
- Represent assigned capabilities in intake, portfolio, governance, and cross-platform planning discussions.

Required Qualifications

- Experience serving as a Product Owner for an embedded engineering team, including backlog ownership, prioritization, refinement, sprint planning, and delivery tradeoffs.
- Experience building and managing roadmaps for enterprise data, analytics, AI, platform, or technology capabilities.
- Ability to translate unclear business problems into actionable requirements, user stories, acceptance criteria, and measurable outcomes.
- Working knowledge of data governance, including data quality, lineage, metadata, catalogs, access controls, privacy, security, and compliance.
- Experience working with Engineering, Architecture, business stakeholders, Analytics, AI/ML, and Program or Project Management teams.
- Strong analytical, problem-solving, stakeholder-management, and executive communication skills.
- Ability to manage ambiguity, drive decisions, and coordinate cross-functional dependencies in a fast-paced environment.

Preferred Qualifications

- Experience with Databricks, Unity Catalog, Azure, Snowflake, Power BI, Tableau, Adobe Experience Platform, or similar data and analytics platforms.
- Experience with AI-enabled products, generative AI, large language model use cases, AI-assisted workflows, or AI/ML product delivery.
- Experience with data catalogs, lineage, metadata management, feature engineering, feature stores, or reusable data-product design.
- Background in marketing technology, customer data platforms, personalization, audience management, offer decisioning, attribution, or consumer insights.
- Experience evaluating build-versus-buy decisions and tracking adoption, utilization, cost, performance, and business-value metrics.
- Familiarity with Jira, Azure DevOps, Rally, Aha!, or similar product-delivery tools.