Director, Data & Analytics

Resource Label GroupFranklin, TN
17h

About The Position

RLG is entering a new stage of growth driven by consistent metrics, faster decisions, and repeatable post-M&A integration. Today, our data lives across multiple platforms, vendors, and dashboards that are not aligned across the business.   The Director of Data & Analytics will define the enterprise data operating model while owning KPI definitions, data contracts, governance, and how the company measures performance. This role ensures that RLG owns the truth and quality of its data.   You will partner with IT, Finance, Commercial, and Operations to unify data sources, clarify ownership, and design consistent, trusted data flows that support scaling, operational efficiency, and future AI capabilities. This is a high-impact, foundational role responsible for establishing and executing the data strategy and standards that unlock enterprise-wide value from our data.

Requirements

  • 8–12+ years leading data strategy, governance, analytics, or enterprise BI programs.
  • Demonstrated success creating KPI standards, metric dictionaries, and governance frameworks.
  • Experience evaluating and managing external development partners for custom data solutions.
  • Proven ability to define strategic frameworks and engage partners to execute against them.
  • Experience in manufacturing, supply chain, & multi-plant operations.
  • Familiarity with modern data platforms (Snowflake, Databricks, Azure Fabric).
  • Understanding of ETL/ELT, pipelines, orchestration, and API-based integrations.
  • Experience with BI tools (Tableau, Power BI, Looker) and metric layers.
  • Ability to read data models and partner effectively with engineers.
  • Strong cross-functional management across Finance, Ops, Commercial, and IT.
  • Strong communication and leadership skills.
  • Ability to simplify complexity and drive alignment across conflicting viewpoints.
  • Business-first thinker who understands how companies run and scale.
  • Comfortable in ambiguity, pragmatic, and focused on adoption.
  • Obsessed with data accuracy, definitions, and usability.

Nice To Haves

  • Advanced degree in data science or computer science a plus.

Responsibilities

  • Define the Enterprise Data Strategy
  • Own KPI Definitions and Metric Governance
  • Build RLG’s Data Governance Framework
  • Partner Management & Delivery Oversight
  • Improve Data Quality at the Source
  • Support M&A Integration
  • Drive Adoption & Usability
  • Prepare RLG for AI/LLM Enablement
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