Manager, Data Enablement

Role Description

The Data Enablement Manager is responsible for leading the development and execution of enterprise-wide analytics capabilities that enable data-driven decision making across Sales, Pricing, Finance, Product Management, and Executive Leadership. This role will oversee the integration of syndicated market data and internal business data across multiple systems and business units, transforming complex data into actionable insights that drive profitable growth, margin expansion, customer success, and operational excellence.

The Manager will lead the design and implementation of scalable reporting processes, advanced analytics, dashboards, forecasting models, and performance measurement frameworks. This individual will serve as a strategic business partner, translating analytical findings into actionable recommendations while developing a culture of data-driven decision making throughout the organization.

Success in this role requires a strong combination of technical expertise, business acumen, leadership capability, and the ability to communicate complex insights to stakeholders at all levels of the organization.

Qualifications

• Bachelor's degree in Statistics, Data Analytics, Economics, Finance, Business, Information Systems, Mathematics, or related field required.
• Master's degree preferred.
• 5-8+ years of progressive experience in analytics, business intelligence, finance analytics, pricing analytics, or data management.
• 2-5 years of leadership or people management experience preferred.
• Experience supporting commercial organizations including Sales, Pricing, Finance, and Product Management.
• Manufacturing, packaging, foodservice, or distribution industry experience preferred.

Requirements

• Advanced proficiency in Power BI, Tableau, or similar business intelligence platforms.
• Advanced SQL development and data modeling expertise.
• Strong experience with Excel, Power Query, and financial modeling.
• Experience integrating data across ERP environments such as Oracle, SAP, Dynamics, NetSuite, or similar platforms.
• Knowledge of data warehousing, ETL processes, and database structures (Fabric).
• Experience with predictive analytics, statistical modeling, and forecasting methodologies preferred.
• Familiarity with Python, R, AI-enabled analytics, or data science tools is a plus.

Benefits

• 401(k) plan with company match.
• Comprehensive medical, dental, and vision insurance.
• Flexible spending and health savings accounts.
• Paid vacation and sick days.
• Paid parental leave.
• Paid holidays and wellness program.