Niagarawater · Corp-main - Diamond Bar, CAPrepare for this interview
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At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water. Consider applying here, if you want to: Work in an entrepreneurial and dynamic environment with a chance to make an impact. Develop lasting relationships with great people. Have the opportunity to build a satisfying career. We offer competitive compensation and benefits packages for our Team Members. AI Product Strategist II The AI Product Strategist II is an individual contributor role. This role will play a critical role in Niagara's data-driven transformation by supporting value-focused analytics products and delivering actionable insights. This role will collaborate closely with cross-functional teams to analyze business data, identify use cases, develop business cases, design solutions, optimize decision-making, and contribute to the seamless integration of analytic products into operations. Analytics Product Management & Insights, as part of the larger Data and Decision Intelligence team, is pivotal in defining the future of Niagara's decision-making framework, ensuring a competitive advantage across various business functions such as Sales & Marketing, Supply Chain, Manufacturing and Finance. The role serves as a stepping stone to more specialized analytics or leadership positions. Essential Functions Own the lifecycle of analytics products, including inception, development, maintenance, documentation, and enhancements focused on Sales & Marketing. Partner with business stakeholders to gather requirements and translate them into analytical solutions. Lead detailed data analysis to identify trends, patterns, and opportunities for business improvement. Generate and present insights to stakeholders to enhance decision-making and operational efficiencies. Lead or assist in Design Thinking & Hackathon workshops to support problem-solving, prioritization, and idea generation for analytics initiatives. Collaborate with the Enterprise Data Foundation and Data Science teams to implement analytics solutions effectively. Apply Agile methodologies in delivering Minimum Viable Products and iteratively scaling solutions for business value. Utilize data visualization tools (e.g., Power BI) to translate complex data into clear and actionable visualization of insights. Maintain and prioritize analytics initiatives in collaboration with the team, ensuring alignment with business objectives. Coach and train junior analysts and lead knowledge-sharing initiatives to enhance data literacy within the organization. Continuously monitor and evaluate the effectiveness of analytics solutions, identifying areas for improvement. Provide insights to support Lean Manufacturing, Six Sigma, and Continuous Improvement (CI) initiatives using data-driven analysis. Partner with Data Science to operationalize predictive and prescriptive models for maintenance, quality, and throughput optimization. Experience working with OEE, FPY, downtime analysis, scrap and rework data, and predictive maintenance programs. Prioritize and manage the analytics product roadmap, ensuring solutions align with business goals and operational efficiency targets. Strong understanding of manufacturing processes, production systems, and equipment performance metrics. Deep appreciation of shop-floor realities, enabling effective translation of operational challenges into data and technology solutions. Please note this job description is not exhaustive and may be subject to change as business needs evolve.
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