Georgia-Pacific - Atlanta, GA
posted about 2 months ago
Full-time - Manager
Atlanta, GA
10,001+ employees
Wood Product Manufacturing
About the position
The Sr Manager, Data Tools and Platforms at Gia-Pacific is responsible for leading a team of data tools and technology engineers. This role focuses on the selection, implementation, operations, and maintenance of the GP Data tools ecosystem, playing a crucial role in shaping the company's data strategy. The position emphasizes efficient and cost-effective tools that support data quality, governance, and analytics, enabling data-driven decision-making across the organization.
Responsibilities
- Provide leadership and guidance in a Principle Based Management culture.
- Lead, mentor, and develop a talented team in the design, implementation, and support of enterprise data tools.
- Develop and execute the data tools strategy in alignment with data and analytics strategic goals.
- Drive selection, implementation, and support of a strong and integrated tools framework for key data functions.
- Identify potential operational and financial risks and oversee the stability of the data tools ecosystem.
- Oversee multiple projects ensuring timely delivery and adherence to quality standards.
- Champion process and tools adoption across the enterprise to promote efficiency and best practices.
- Partner in establishing and enforcing data governance policies and best practices.
- Stay abreast of emerging technologies and innovate tools and services to evolve the data ecosystem roadmap.
- Engage with stakeholders to understand their data needs and communicate technical concepts effectively.
Requirements
- Experience in data and analytics roles with a proven track record leading a managed ecosystem of data tools and platforms.
- Experience in overseeing data warehousing, data engineering, and BI development projects from conception to delivery.
- Strong understanding of data architecture, data governance, and data management best practices.
- Experience working in Agile environments and delivering projects using Agile methodologies.
Nice-to-haves
- Strong knowledge of agile methodologies and frameworks.
- Advanced data analytics knowledge including statistical analysis, predictive, and machine learning.
- Experience with highly scalable data processing and consumption tools.
- Knowledge of modern data practices including data products, machine learning, and data science.
- Knowledge of data visualization tools and techniques.
- Certifications in cloud technologies or data engineering.
Benefits
- Medical, dental, and vision insurance
- Flexible spending and health savings accounts
- Life insurance
- Accidental death and dismemberment (ADD) insurance
- Disability insurance
- Retirement plan
- Paid vacation and time off
- Educational assistance
- Infertility assistance
- Paid parental leave
- Adoption assistance
