Data Governance & Analytics Manager

SCN BestCo•Golden, CO

5d•$113,592 - $170,388

About The Position

SCN BestCo is a leading innovator, developer, and manufacturer of Vitamin, Mineral & Supplement (VMS), Over-the-Counter (OTC), and prebiotics/probiotics in enjoyable forms. The Data Governance & Analytics Manager is responsible for establishing and maintaining enterprise-wide data definitions, governance standards, and analytics enablement across the organization. This role ensures that data across enterprise resource planning (ERP), customer relationship management (CRM), finance, manufacturing, and operational systems is accurate, consistent, trusted, and effectively used for decision-making. Acting as the bridge between business stakeholders, IT, and third-party implementation partners, this role drives data quality, key performance indicator (KPI) standardization, and adoption of reporting and analytics capabilities within a manufacturing organization operating across the United States and Canada.

Requirements

Bachelor’s degree in information systems, business analytics, data management, computer science, or related field.
5 years’ experience in data governance, analytics, business intelligence, or enterprise data management roles.
Experience defining and standardizing KPIs, business metrics, and enterprise reporting structures.
Experience working with ERP systems (SAP, JD Edwards, Dynamics) or similar enterprise platforms.
Strong understanding of data governance principles, data quality management, and metadata management.
Strong analytical and problem-solving skills with attention to data accuracy and consistency.
Ability to translate business requirements into structured data definitions and reporting logic.
Familiarity with data warehouse concepts, dimensional modeling, and ETL processes.
Strong collaboration skills across technical and non-technical stakeholders.
Strong communication skills with ability to influence cross-functional alignment on data standards.
Ability to manage multiple priorities in a fast-paced, transformation-focused environment.
Strong documentation and organizational skills for maintaining data dictionaries and governance artifacts.
Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry.
Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations.

Nice To Haves

Experience implementing enterprise data governance frameworks (e.g., DAMA-DMBOK).
Experience supporting data warehouse or analytics platform implementations.
Experience with BI tools (e.g., Power BI, Tableau) and reporting frameworks.
Experience in manufacturing, distribution, or multi-site operational environments.
Experience with cloud data platforms (Azure Data Platform, Snowflake, AWS analytics stack).
Experience supporting large-scale ERP or data warehouse transformation programs.
Familiarity with manufacturing KPIs, supply chain metrics, and operational reporting structures.
Experience working in hybrid environments with third-party implementation partners.
Certification in data governance, analytics, or business intelligence (e.g., CDMP, Microsoft Data Analyst Associate).
Experience driving enterprise adoption of analytics and self-service reporting capabilities.

Responsibilities

Define and maintain enterprise data governance standards, policies, and procedures.
Establish and manage the enterprise data dictionary and business glossary (single source of truth for key metrics and definitions).
Partner with Finance, Operations, Sales, and Supply Chain teams to define and standardize KPIs and reporting metrics.
Ensure alignment of data definitions across ERP, CRM, and data warehouse environments.
Work with IT and third-party vendors to validate data models, data mappings, and transformation rules.
Monitor data quality, identify gaps, and drive remediation efforts across business systems.
Support the design and adoption of enterprise reporting and analytics solutions.
Facilitate data governance forums and cross-functional alignment sessions.
Ensure data governance practices are embedded into system implementations and enhancements.
Support data lineage documentation and traceability from source systems to reporting outputs.
Promote data adoption and usage across business teams to improve decision-making.
Partner with Data Architect and Integration teams to ensure consistency of data pipelines and structures.
Support compliance, audit, and data privacy requirements as they relate to enterprise data.
Drive continuous improvement in data accuracy, completeness, and usability across systems.