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NEXTMOVEFDE careers · United States
Niagara Bottling

Sr. AI Product Strategist

AI summary of the role

The Sr. AI Product Strategist drives Niagara's data-driven transformation by managing analytics products and delivering actionable insights across Supply Chain, Manufacturing, Finance, and Sales & Marketing.

What you’ll do

  • Support the lifecycle of analytics products, including inception, development, maintenance, documentation, and enhancements.
  • Partner with business stakeholders to gather requirements and translate them into analytical solutions.
  • Conduct detailed data analysis to identify trends, patterns, and opportunities for business improvement.
  • Utilize data visualization tools (e.g., Power BI) to translate complex data into intuitive and actionable dashboards.

What you’ll bring

  • 4 years of experience in Technology Consulting or Data Analytics
  • 4 years of experience in or supporting Operations/Strategy
  • 4 years of experience managing projects
  • Bachelor's Degree in Supply Chain/Information Technology/Business Analytics/Systems Engineering/Data Science or other related field

Technologies

Power BI · Tableau · Looker · Oracle Analytics Cloud · SQL · MS Excel VBA · Agile · Design Thinking · statistical modeling · machine learning

Source and classification

Deployment strategy · Evidence for this classification:

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. Sr. AI Product Strategist The Sr. AI Product Strategist 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, optimize decision-making, and contribute to the seamless integration of analytics into operations. Analytics Product Management &
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Employer postings · Data from · Sources