Lead Solution Architecture

Typical Tasks

Define Data Architecture and Analytics Solutions: Define high-level data and analytics solutions with business stakeholders, technology teams, and data engineers. Determine data models, reporting frameworks, and integration requirements, evaluating technical trade-offs. Identify data sources, interfaces, and dependencies that support third-party spend visibility, supplier performance management, sourcing effectiveness, and operational reporting.

Create a Unified Data and Reporting Vision: Create a unified data and analytics vision across the supply chain organization, ensuring alignment of reporting, KPIs, data definitions, and governance standards. Drive consistency and transparency in data-driven decision making. Align Data and Technology Direction: Collaborate with Supply Chain, Finance, Technology, Enterprise Architects, Data Engineers, and business stakeholders to align data architecture, reporting strategies, and analytics capabilities with business priorities and enterprise standards.

Establish Data Strategy and Technical Foundation: Develop an incremental strategy and technical foundation for supply chain analytics and reporting. Design and optimize Snowflake-based data solutions, data models, and reporting architectures that support scalable, flexible, and future-ready analytics capabilities. Ensure Common Practices and Reuse: Promote common data standards, reporting methodologies, governance frameworks, and analytical best practices. Facilitate the reuse of data assets, reporting solutions, and proven analytical approaches while influencing enterprise-wide reporting and data management practices.

Drive Spend Analytics and Business Insights: Develop and enhance analytics capabilities that provide visibility into third-party spend, supplier performance, sourcing savings, benchmarking, and operational effectiveness. Deliver actionable insights and reporting solutions that support strategic sourcing decisions and continuous improvement initiatives.

Leverage Modern Analytics Technologies: Utilize Snowflake, SQL, and business intelligence tools (e.g., Power BI, Tableau) to design, develop, and optimize reporting and analytics solutions. Identify opportunities to automate reporting, improve data accessibility, and accelerate insight generation across supply chain teams.

Job Contribution

An experienced professional, recognized as an expert in data architecture, analytics, and reporting strategy, creatively resolving complex issues with broad and in-depth knowledge. Leads significant projects with strategic autonomy, influencing executive decisions through data-driven insights and analytics. Mentors less experienced staff, implements long-term data and reporting strategies impacting the organization, and frequently collaborates with senior leadership.

Education/Experience

Bachelor’s degree (BS/BA) desired in Computer Science or related field. 5+ years of related experience. Certification is required in some areas.

Pay

$141,300.00 - $237,400.00 USD Annual.

Schedule

Regular

Location

Atlanta, Georgia, Dallas, Texas