Analytics Product Owner

Responsibilities

• Define the product vision and roadmap for data, analytics, and AI within IHG’s AI and BI Center of Enablement; translate business needs into actionable backlogs across the C4E portfolio.
• Serve as the strategic owner for enterprise visualization platforms, focusing on Tableau Cloud; establish governance, site architecture, security models, user enablement, and scalable performance optimization.
• Lead solution design and prototyping by analyzing data sources, metadata frameworks, and user requirements for reporting portals, conversational data interfaces, and self‑service BI tools.
• Maintain deep technical knowledge of enablement products (Self‑Service Toolkit, Enterprise Reporting Portal, Conversational Data Intelligence) alongside solid understanding of Google Cloud Platform services, BigQuery, and Dataplex (Knowledge Catalog).
• Ensure architectural alignment by sustaining a thorough technical view of data products and metadata management, especially at interfaces with internal systems and business processes.
• Collaborate with business partners as a trusted advisor to empower successful BI initiatives and AI experiments within governed environments.
• Translate complex data, BI, and AI concepts into compelling business narratives; convert business requirements into clear technical specifications for engineering and enablement teams.
• Develop and validate data quality test scripts, BI platform performance metrics, visualization accuracy scenarios, and user acceptance testing for the C4E product portfolio.
• Create and prioritize features and user stories, communicating the vision and requirements for reporting portals, conversational data interfaces, platform governance, and AI enablement products to the development team.

Requirements

• Advanced product ownership experience in data, BI, or AI contexts, with a solid grasp of modern data architectures, systems, and enablement frameworks.
• Enterprise platform proficiency with Tableau Cloud, Google Cloud Platform (GCP), and BigQuery; proven ability to govern, scale, and secure Tableau Cloud as an enterprise platform.
• Expertise in SQL for complex data analysis and strong knowledge of data modeling, data warehousing, and metadata management/cataloging (Dataplex/Knowledge Catalog).
• Familiarity with AI and emerging technologies, including Conversational Data Intelligence, Vertex AI, and Gemini Enterprise.
• Ability to solve highly complex data and technical challenges and deliver scalable, cross‑functional solutions that enhance self‑service capabilities.
• Strong storytelling and communication skills, translating technical information into business language and distilling business needs into technical requirements.
• Collaborative leadership style, able to work with Data Engineers, Cloud Architects, and Platform Administrators to drive large cross‑functional initiatives.
• Hands-on experience in Agile environments, ideally within SAFe frameworks.
• Proven track record with cloud‑based data platforms.
• Education: Bachelor’s degree (or equivalent) in a relevant field.

Technologies

• Tableau Cloud
• Google Cloud Platform (GCP)
• BigQuery
• Dataplex (Knowledge Catalog)
• Self‑Service Toolkit
• Enterprise Reporting Portal
• Conversational Data Intelligence
• Vertex AI
• Gemini Enterprise
• SQL

Benefits

• Paid time off
• Medical/dental/vision insurance
• 401K
• Bonus pay