Sr Manager Data Products, Analytics & Ai/ML

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 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.

What Success Looks Like

• Operational reporting is reliable, scalable, and trusted as the system of record.

• Self-service analytics adoption increases while manual exports and reliance on external tools decline.

• Analytics, benchmarking, and AI/ML-powered insights generate incremental revenue and improve customer retention.

• Insights demonstrably influence customer decisions and increase adoption of Aven products and services.

• A scalable and modern data platform supports rapid delivery of analytics, AI/ML-assisted experiences, and future innovations.

• Customers view Aven's analytics capabilities as a differentiated reason to select, expand, and retain the platform.

• Technology investments in BI, analytics, and AI/ML demonstrably improve customer outcomes, product adoption, and business performance.

• Analytics and AI/ML capabilities increase the adoption of CRS, Booking Engine, Payments, Digital Marketing, and other strategic platform products.

• Data governance, quality, privacy, and compliance capabilities enable trusted and scalable analytics across the platform.

Ideal Background

• 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.

Outstanding Benefits

• 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