Sr Manager Data Products, Analytics & Ai/ML

Aven Hospitality is an innovative technology provider powered by SynXis®, the leading global hospitality commerce and distribution platform. The Senior Manager role drives the product strategy, roadmap, and execution for Aven Hospitality's Data, Reporting, Analytics, and AI/ML capabilities, partnering with various teams to enhance customer adoption and business value.

Responsibilities:

• Define and drive the product roadmap for Data, Reporting, Analytics, and AI/ML capabilities
• Improve the usability of operational reporting to reduce failures, manual workarounds, support costs, and customer friction
• Drive self-service analytics by improving how customers access, analyze, personalize, visualize, and export data across the platform
• Establish clear separation between operational reporting, analytics, and insights—reducing over-reliance on reporting as a data extraction tool
• Define and validate priority analytics and AI/ML use cases to guide product, data, and platform investment decisions
• Develop and execute data and analytics monetization strategies, including premium reporting, benchmarking, diagnostics, recommendations, and AI/ML-driven insights
• Use analytics and AI/ML intentionally to increase adoption and usage of Aven products by helping customers optimize configuration, pricing, distribution, operations, and performance decisions
• Partner with Engineering, Innovation, UX, and Commercial teams to deliver scalable, differentiated, and monetizable analytics capabilities
• Evaluate and recommend data, analytics, reporting, business intelligence, and AI/ML technologies to ensure Aven's platform remains competitive, scalable, and aligned to customer needs
• Partner across teams to help shape the long-term direction for analytics, self-service reporting, business intelligence, data products, and AI/ML-powered insights, balancing customer demand, technical investment, and commercial opportunities
• Partner with Product Development and Architecture teams to influence data models, semantic layers, governance standards, platform modernization efforts, and future analytics capabilities
• Monitor industry trends and emerging technologies across data platforms, business intelligence, analytics, AI/ML, and Gen-AI/ML to identify opportunities for innovation and product differentiation
• Develop product requirements for AI/ML-assisted workflows, conversational analytics, anomaly detection, recommendations, forecasting, intelligent automation, and other insight-driven capabilities
• Define adoption, engagement, monetization, and customer outcome metrics and use those measures to prioritize future investments
• Partner with Engineering and Architecture teams to support modernization of Aven's analytics and data platform ecosystem, ensuring readiness for future AI/ML and advanced analytics use cases
• Collaborate with Security, Privacy, and Engineering teams to ensure analytics and AI/ML capabilities align with data governance, compliance, and responsible AI/ML principles
• Drive analytics and AI/ML capabilities that increase adoption, retention, and customer value across CRS, Booking Engine, Digital Marketing, Payments, Revenue Optimization, and future platform products

Requirements:

• 8–12 years of experience in Product Management, Analytics, Data Platforms, Business Intelligence, or AI/ML-enabled products
• Proven success building, modernizing, or scaling analytics, reporting, data platform, or business intelligence products in B2B SaaS environments
• Experience owning complex cross-functional initiatives involving Product, Engineering, Data, UX, and Commercial stakeholders
• Demonstrated success monetizing analytics, data-driven products, or premium insight offerings
• Strong understanding of data foundations, cloud data platforms, analytics architectures, semantic layers, and modern business intelligence ecosystems
• Experience with technologies such as Snowflake, Databricks, Looker, Tableau, Power BI, Sigma, Databuildtool, and Microsoft Fabric
• Proven ability to evaluate and influence analytics platform, BI tooling, and AI/ML investment decisions
• Experience defining and delivering AI/ML-assisted or data-driven product experiences, including conversational analytics, recommendations, forecasting, or predictive insights
• Strong product management fundamentals, including customer discovery, roadmap development, prioritization, business case development, and go-to-market execution
• Track record of improving usability, self-service adoption, customer engagement, and measurable business outcomes
• Ability to communicate effectively with technical teams, executive stakeholders, customers, and prospects
• Experience building or managing analytics, data platforms, business intelligence, or AI/ML-enabled products used by enterprise customers