Senior Manager, Data Products, Analytics & Ai/ML

Hospitality Solutions

Senior Manager driving product strategy for Data Products, Analytics & AI/ML at Aven Hospitality. Leading product development, customer engagement, and analytics capabilities for B2B SaaS environments.

Posted 7/10/2026full-timeDallas-Fort Worth Metroplex • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudTableau

About the role

Key responsibilities & impact

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

What you’ll need

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, Data build tool, 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.

Benefits

Comp & perks

Very competitive compensation
Generous Paid Time Off (25 PTO days)
8 Hours of Volunteer Time Off (VTO)
We offer a comprehensive medical, dental and Wellness Program
12 weeks paid parental leave
An infrastructure that allows flexible working arrangements
Formal and informal reward, recognition and acknowledgement programs
Lots of fun and engaging employee development events

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data PlatformsAnalyticsBusiness IntelligenceAI/MLData GovernanceCloud Data PlatformsUsability ImprovementData MonetizationCustomer Engagement MetricsProduct Roadmap Development

Soft Skills

Effective CommunicationStakeholder ManagementCustomer DiscoveryCross-Functional Initiative OwnershipTeam Collaboration