Data and Analytics Product Manager

Role Overview

We are seeking a skilled Data, Analytics & AI Product Manager to oversee the strategy, roadmap, and delivery of enterprise-wide data products. Our primary platforms include Snowflake for cloud-based data infrastructure and Tableau for analytics and visualization. Additionally, this role leads the commercialization of AI and machine learning solutions across the organization.

Key Responsibilities

• Manage the product roadmap for Snowflake data platforms, Tableau analytics, and AI/ML offerings, including generative AI, predictive analytics, and embedded intelligence tools.
• Translate dynamic business requirements into actionable data and AI products such as dashboards, data marts, ML-driven forecasts, recommendation engines, and GenAI assistants by deeply engaging with stakeholder workflows and decision points.
• Direct AI product strategy by identifying impactful AI/ML applications, defining use cases, collaborating with data science and engineering teams on model selection, and overseeing the transition from prototype to production deployment.
• Prioritize and maintain a backlog for data engineering, analytics, and AI/ML teams, balancing new initiatives, technical debt, and ad hoc requests effectively.
• Collaborate with data engineering and platform teams on decisions regarding Snowflake infrastructure including warehouse scaling, cost control, data sharing, security roles, and advanced feature adoption like Snowpark and Cortex.
• Promote Tableau as the organization’s standard analytics tool by developing certified content, self-service governance structures, performance benchmarks, and adoption strategies.
• Establish and enforce data and AI product standards covering naming conventions, documentation quality, service-level agreements, certification processes, model monitoring, evaluation metrics, and ethical AI guidelines.
• Advocate for data quality, governance, and AI safety in partnership with governance functions by implementing data contracts, master data harmonization, bias audits, and human-in-the-loop processes.
• Work alongside PLM, ERP, and commercial system stakeholders to ensure seamless integration of data and AI products with operational platforms.
• Monitor product adoption and impact by tracking usage metrics in Tableau and Snowflake, AI model performance, and business KPIs related to each product.
• Effectively communicate product roadmap, progress, and value to company leadership and wider teams.

Required Qualifications

• Minimum of 5 years in product management with at least 3 years dedicated to data, analytics, or AI/ML products.
• Proven success in bringing at least one AI or ML product—such as predictive models, natural language processing solutions, recommendation engines, or generative AI applications—into production.
• Strong understanding of AI/ML concepts including model lifecycle, evaluation methods, prompt engineering, retrieval-augmented generation (RAG) architectures, and responsible AI principles.
• Experience with modern data stack technologies including cloud data warehouses, ELT tools (such as dbt or Fivetran), semantic layers, and orchestration systems.
• Skilled in crafting clear technical and business requirements using tools like Jira and Confluence.
• Exceptional stakeholder management abilities spanning executive leadership, operational teams, and technical staff.
• Demonstrated capacity to make priority decisions effectively within a fast-paced, multi-stakeholder environment.

Preferred Qualifications

• Familiarity with Snowflake features such as Cortex, Snowpark, or native AI/ML capabilities.
• Experience using Tableau Pulse, Tableau AI, or embedding analytics in business applications.
• Hands-on experience integrating large language models (OpenAI, Anthropic, Azure OpenAI) into practical business scenarios.
• Background in industries such as consumer products, retail, manufacturing, or supply chain management.
• Knowledge of master data management, data governance frameworks, and modern data product or mesh principles.
• Experience working with PLM, ERP systems like SAP or Oracle, and commercial platforms including Salesforce or e-commerce.
• Agile or Scrum certification or equivalent experience.

Diversity & Inclusion Statement

We are committed to fostering a diverse and inclusive workplace that values all races, genders, and body types within the cycling industry. We encourage applicants from marginalized and underrepresented groups to apply and help us continue to evolve as a leading brand dedicated to innovation and impact.