Sr. AI Product Strategist

Requirements

• Minimum Qualifications: 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
• *experience may include a combination of work experience and education
• Preferred Qualifications: 6 years of experience in Technology Consulting or Data Analytics
• 6 years of experience in or supporting Operations/Strategy
• 6 years of experience managing projects
• Competencies
• Business & Process Understanding : Deep comprehension of business processes, functional digital capabilities (Supply Chain, Manufacturing, Finance, Sales & Marketing), and high-quality analytics delivery.
• Product & Project Management : Skilled in managing roadmaps, backlog prioritization, release planning, sprint metrics, and cross-team coordination while ensuring business value-driven outcomes.
• Strategic Alignment & Decision Support : Ensures analytics products and strategies align with organizational goals, driving informed decision-making.
• User-Centric Approach : Deep understanding of customer journeys, UX/UI principles, and empathy-driven engagement to create impactful analytics products.
• Business Agility & Problem-Solving : Think-big, fail-fast mindset with strong analytical and problem-solving skills to identify root causes and drive effective solutions.
• Effective Communication of Insights : Translate complex data findings into understandable and actionable insights for both technical and non-technical stakeholders, using storytelling to influence decision-making. Needs to have curiosity to learn and master stakeholder's domain expertise.
• Data & Visualization Proficiency : Expertise in data mining, visualization, and report automation using tools such as Power BI, Tableau, Looker, Oracle Analytics Cloud, SQL, and MS Excel (VBA).
• Technical Acumen : Strong foundation in statistical modeling, machine learning, linear programming, data engineering, data governance, etc.
• This position embodies the values of Niagara's LIFE competency model, focusing on the following key drivers of success:
• Lead Like an Owner Provides strategic input and oversight to departmental projects
• Skilled in reducing costs and managing timelines while prioritizing long run impact
• Leads/facilitates discussions to get positive outcomes for the customer
• Makes strategic and sustainable data dri

Additional Information

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 & 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 Supply Chain, Manufacturing, Finance, and Sales & Marketing. Essential Functions 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. Generate and present insights to stakeholders to enhance decision-making and operational efficiencies. Assist in Design Thinking 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 intuitive and actionable dashboards. Maintain and prioritize analytics initiatives in collaboration with the team, ensuring alignment with business objectives. Support training and knowledge-sharing initiatives to enhance data literacy within the organization. Continuously monitor and evaluate the effectiveness of analytics solutions, identifying areas for improvement. Please note this job description is not exhaustive and may be subject to change as business needs evolve.

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