Sr Manager Data Products, Analytics & Ai​/ML

## Sr Manager Data Products, Analytics & Ai/MLApplylocations:
Dallas-Fort Worth Metroplex:
USA Remote time type:
Full time posted on:
Posted 3 Days Agojob requisition :
JR110142
** Aven Hospitality
** is an innovative technology provider powered by
** Syn Xis,
** the leading global hospitality commerce and distribution platform. We empower hoteliers around the world to exceed expectations, solve daily challenges, and stay ahead of the competition.

With our comprehensive portfolio of solutions, hoteliers can manage distribution, retailing, payments, operations, and more. Providing hoteliers the tools to maximize revenue, improve operational efficiency, and deliver personalized guest experiences that drive satisfaction.

Our tools are built to seamlessly integrate with each hotelier’s unique strategy, elevating guest satisfaction and creating meaningful connections.

We are pioneering AI in hospitality technology to unlock new opportunities, drive efficiency, and personalize the guest experience. By prioritizing stability, scalability, and data-driven insights, we equip hoteliers to adapt and thrive in an ever-changing landscape, ready for whatever comes next..
** Sr. Manager, Data Products, Analytics &
**** AI/ML
**** Role Summary
*** This Senior Manager role drives the product strategy, roadmap, and execution for Aven Hospitality's Data, Reporting, Analytics, and AI/ML capabilities. The role partners with Product, Engineering, Innovation, and Data teams to help evolve a trusted and scalable analytics ecosystem, modernize operational reporting into a system of record, and advance analytics from dashboards into decision-driving, predictive, and AI/ML-assisted products.
* A core mandate is to increase customer adoption and business value while identifying opportunities to monetize analytics, insights, and data-driven capabilities across the Aven platform. The role works closely with Commercial, Customer Success, and Product leaders to understand customer needs, validate opportunities, and deliver impactful analytics experiences that support measurable business outcomes.
* Success in this role requires a strong understanding of modern data platforms, analytics products, business intelligence tooling, and emerging AI/ML capabilities. The ideal candidate combines product management expertise with technical fluency and can translate complex data and analytics concepts into compelling customer value propositions and business results.
* The role is responsible for defining success metrics, measuring adoption and business outcomes, evaluating analytics platform and BI tooling investments, and helping guide analytics and AI/ML initiatives that improve customer experiences, drive platform adoption, and create long-term business value.
** Portfolio**
* ** Operational Reporting:
** Modernize and scale reporting to improve reliability, performance, and flexibility—establishing reporting as the operational system of record.
* ** Analytics & Insights:
** Evolve dashboards into actionable insights, diagnostics, benchmarking, forecasting, and guided decision-making.
* ** AI/ML-Assisted Analytics:
** Introduce AI/ML-assisted, predictive, generative AI/ML, conversational, and natural-language analytics capabilities to accelerate insight discovery, automate high-frequency questions, and improve decision-making.
* ** Data Platform & BI Strategy:
** Shape the strategy for data platforms, semantic layers, business intelligence tooling, analytics architecture, and platform modernization to ensure scalability, usability, governance, and long-term business value.
* ** Data Governance, Security & Compliance:
** Partner across teams to improve data quality, governance, privacy, security, and compliance capabilities that enable trusted analytics and responsible AI/ML innovation.
** 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…