Director of Data & Analytics

Wayne Farms•Oakwood, GA

About The Position

The Director of Data & Analytics, will report to the CIO and is responsible for crafting and implementing Wayne-Sanderson Farms' enterprise data strategy while establishing a centralized data and analytics organization. This role encompasses leadership over Master Data Management, data sourcing and consolidation across operational systems, enterprise reporting, and advanced analytics utilizing AI for strategic decision-making. In close collaboration with departmental stakeholders like Finance, Sales, and Operations, the director ensures data integrity and provides insights that drive key business outcomes.

Requirements

10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role.
Proven track record of building and scaling enterprise data platforms and teams.
Experience with AI/ML frameworks and applying predictive and prescriptive analytics in business contexts
Expertise in data architecture, ETL processes, data warehousing, and cloud technologies (Azure, Snowflake, Data Bricks, etc.).
Strong knowledge of BI tools (Power BI, Tableau, etc.) and data modeling.
Familiarity with IoT/OT data integration and real-time data streaming
Exceptional strategic thinking and ability to influence at all levels.
Strong communication and stakeholder management skills.
Ability to lead organizational change and foster a data-driven culture.

Responsibilities

Strategic Leadership Define and execute the enterprise data and analytics strategy, aligned with corporate objectives.
Build and lead a high-performing DnA team, including data engineers, analysts, data scientists, and governance specialists.
Foster a data-driven culture across the organization, promoting self-service analytics and democratization of data.
Serve as a senior thought partner to business leaders and present progress to the leadership team.
Data Platform & Architecture Design and implement a centralized data warehouse to integrate data from all information technology systems, OT systems, and other external or 3rd party sources.
Oversee the selection and deployment of modern data platforms (cloud-based solutions, ETL tools, BI platforms).
Ensure scalability, reliability, and security of data infrastructure.
Data Governance & MDM Establish data governance policies, standards, and processes to ensure data integrity, privacy, and compliance.
Implement Master Data Management solutions to maintain consistent and accurate data across systems.
Define and monitor data quality KPIs and enforce governance controls.
Analytics & AI-Driven Insights Lead the development and rollout of enterprise reports and dashboards for all departments.
Utilize AI and machine learning for predictive and prescriptive analytics, enabling proactive decision-making and operational optimization.
Design and implement responsible AI frameworks, ensuring ethical use, bias mitigation, and regulatory compliance.
Collaboration & Change Management Work closely with IT and business stakeholders to understand data needs and deliver solutions.
Drive organizational change to adopt new tools and processes for data utilization.
Lead data literacy programs, upskilling employees across departments on self-service analytics tools and best practices.