Data Analytics Manager

HELP US BRING THE GIFT OF HEALTH TO LIFE.

Working at Pharmavite is an experience like no other. With a focus on complete nutrition for all, each endeavor is urgent and every day counts. You'll have the opportunity to work on the #1 selling national vitamin and supplement brand, Nature Made, as well as an exciting portfolio of other products that are shaping the future of the healthy living industry.

Consumer‑driven innovation, high quality products and a promising portfolio, all driven by a team with a shared sense of purpose – that's Pharmavite. Join us to bring the gift of health to life.

This role is not available for sponsorship including I‑983 participation.

The Data Analytics Manager – Planning & Integrated Logistics is responsible for defining and executing the data and analytics strategy supporting Customer Service, Supply Chain Planning, and Integrated Logistics. The role leads the development of scalable data architecture, governance, and automated reporting solutions, while advancing the use of AI‑enabled and advanced analytics to improve forecast accuracy, inventory optimization, service levels, and cost performance across the end‑to‑end supply chain.

The leader drives the adoption of predictive and prescriptive analytics, machine learning–supported insights, and intelligent automation to enhance decision‑making within planning and logistics functions. This manager leads a team of analytics professionals and partners closely with business leaders and IT to ensure data integrity, accessibility, and the responsible application of AI aligned with business strategy and operational outcomes.

• Lead, coach, and develop a team of analytics professionals with clear priorities, standards, and career paths
• Raise the bar on advanced analytics, automation, and AI literacy across the CS&IL organization

• Define and execute a multi‑year CS&IL analytics roadmap aligned to business outcomes
• Shift the organization from descriptive reporting to predictive and prescriptive decision support

• Design AI‑enabled dashboards, KPIs, and decision tools used in weekly, monthly, and S&OE rhythms
• Partner with Planning and Logistics leaders on high‑value use cases:
  • Forecast accuracy & bias
  • Inventory optimization & service trade‑offs
  • Capacity and constraint planning
  • Disruption and risk sensing

• Establish clear intake, prioritization, development, and deployment processes for analytics work
• Ensure solutions are automated, reusable, and scalable — not one‑off analyses
• Define data governance, validation, and model monitoring to ensure trust and responsible AI use

• Translate business needs into data requirements across ERP, planning, and logistics systems
• Help shape an AI‑ready data architecture (ETL, warehouse, semantic layers)
• Oversee analytics tools and platforms to ensure consistency and adoption

• Enable self‑service analytics while maintaining standards and data integrity
• Raise data literacy across users with different levels of sophistication
• Identify and eliminate manual, low‑value work through automation

• Bachelor’s degree in business, Supply Chain, Operations Management, Analytics, or a related field, or equivalent professional experience
• Master’s degree (MBA, Predictive Analytics, Data Science, or Information Systems) preferred

• 5‑10+ years of progressive experience in Data Analytics or Business Intelligence with at least 3 years of experience defining and executing a multi‑year Data Strategy or Roadmap, and/or Center of Excellence
• Expert proficiency in SQL for complex querying and hands‑on mastery of at least one major BI platform (e.g., Tableau, Power BI)
• Demonstrated working knowledge of data modeling concepts, cloud data architectures (ETL/Data Warehouse), and statistical methodologies sufficient to scope and govern advanced analytics projects
• Functional understanding of analytical scripting languages (Python or R) for advanced analytics and statistical modeling
• Proven ability to extract,…