PODS

Architect

• Lead, analyze, and design PODS’s Enterprise Information Architecture
• Build a holistic view and roadmap of the company’s technology strategy, processes, and information technology roadmap
• Partner with business and technology groups to align technical solutions with company objectives and mission
• Deliver Information Architecture blueprints and designs aligned with functional IA roadmaps
• Evangelize Information Architecture and the value and impact of effective IA design and governance to IT and business teams
• Independently initiate and coordinate teams in complex technology evaluations, proofs of concept, and prototyping exercises
• Design and document data flows across the technology estate
• Design data models for analytics and reporting and assess their feasibility
• Establish data standards with business data governance groups, including master, reference, and structural standards
• Work with solution architects on data integration and service architectures
• Determine architectural designs and change requirements based on business drivers and capabilities
• Establish and document strategic enterprise application architecture standards across diverse platforms and engineering teams
• Oversee mapping of enterprise information architecture models to package application models and assess vendor solution suitability
• Ensure business data and information needs are met through intentional information architecture
• Document infrastructure architecture environments and procedures
• Blueprint data architecture, including multi-year transitions and modernization recommendations
• Re-engineer and maintain an enterprise-wide view of data across business systems
• Analyze user information requirements and design supporting data structures
• Champion enterprise information solutions such as MDM, metadata management, analytics, content management, data integration, and information infrastructure components

Architect V – Enterprise Information

• Lead, analyze, and design PODS’s Enterprise Information Architecture
• Build a holistic view and roadmap of the company’s technology strategy, processes, and information technology roadmap
• Partner with business and technology groups to align technical solutions with company objectives, mission, and vision
• Deliver Information Architecture blueprints and designs aligned with functional IA roadmaps
• Evangelize Information Architecture and the value and impact of effective IA design and governance to IT and business teams
• Initiate and coordinate teams in complex technology evaluations, proofs of concept, and prototyping exercises
• Design and document data flows across the enterprise
• Design data models for analytics and reporting and assess their feasibility
• Establish data standards with business data governance groups, including master, reference, and structural standards
• Work with solution architects on data integration and service architectures
• Understand business drivers and capabilities and determine architectural designs and change requirements
• Establish and document strategic standards for enterprise application architecture across diverse platforms and engineering and development teams
• Map enterprise information architecture models to package application models to assess vendor solution suitability and impact
• Ensure business data and information needs are addressed through intentional information architecture
• Document infrastructure architecture environments and procedures
• Blueprint data architecture, including multi-year transitions and modernization recommendations
• Re-engineer and maintain an enterprise-wide view of data across business systems
• Analyze information requirements and design supporting data structures
• Champion enterprise information solutions including MDM, metadata management, analytics, content management, data integration, and related information management capabilities

• Provide leadership, analysis and technical design related to developing application architecture for future-state business capabilities
• Design and lead implementation of application architecture for a specific application or related applications
• Align application architecture with enterprise architecture strategy, business capabilities and business requirements
• Send resumes to Amber Hakin, PODS Enterprises LLC, 13535 Feather Sound Drive, Clearwater, FL 33762

Architect II – Application

Data Scientist

• Own the roadmap for Pricing & Revenue Science
• Lead development and application of models explaining and forecasting demand, conversion, price sensitivity, utilization, and revenue performance
• Design pricing and business experiments
• Build demand and revenue forecasts
• Develop optimization approaches balancing conversion, margin, and capacity
• Create analytical frameworks measuring geography, mileage, seasonality, inventory availability, customer segment, competitive conditions, and other business drivers
• Establish standards for causal measurement, model validation, data quality, reproducibility, monitoring, and post-deployment performance
• Partner with Product, Engineering, IT, Finance, Operations, Marketing, and other business teams
• Translate analytical work into scalable decision tools and operating processes
• Lead root-cause analysis when performance shifts
• Communicate recommendations to senior leaders
• Coach a high-performing team of data scientists and analytical professionals
• Directly manage the Pricing & Revenue Science Team, including Data Scientists and pricing/revenue analytics professionals
• Make hiring, performance management, compensation, and termination decisions
• Set team priorities and analytical standards
• Oversee vendors and partners as applicable
• Report to the Vice President, Digital

Senior Manager – Data Science

• Lead, analyze and design PODS’s Enterprise Information Architecture
• Build a holistic view and roadmap of the Company’s technology strategy, processes and information technology roadmap
• Partner with business and technology groups to align technical solutions with company objectives and mission
• Deliver Information Architecture blueprints and designs aligned with functional IA roadmaps
• Evangelize Information Architecture and the value and impact of IA design and governance to IT and business teams
• Independently initiate and coordinate teams in complex technology evaluations, proofs of concept and prototyping exercises
• Design and document data flows across the estate
• Design data models for analytics and reporting and assess their feasibility
• Work with business data governance groups to establish master, reference and structural data standards
• Work with solution architects on data integration and service architectures
• Determine architectural designs and change requirements supporting targeted business outcomes
• Establish and document strategic standards for enterprise application architecture across diverse platforms and engineering and development teams
• Oversee mapping of enterprise information architecture models to package application models and assess vendor solution suitability
• Ensure business data and information needs are realized through intentional information architecture
• Document infrastructure architecture environments and procedures
• Blueprint data architecture, including multi-year transitions and recommendations for transformation and modernization
• Re-engineer and maintain an enterprise-wide view of data across business systems
• Analyze user-community information requirements and design supporting data structures
• Champion enterprise information solutions including MDM, metadata management, analytics, content management and data integration

Senior Enterprise Information Architect

• Develop and support optimization models for capacity planning, routing, scheduling, and resource allocation
• Formulate business problems using decision variables, objectives, and operational constraints
• Assist in root-cause analysis to identify optimization and automation opportunities across field operations
• Build, test, and maintain forecasting, regression, classification, and anomaly-detection models for operational problems
• Prepare and validate data, engineer features, and evaluate model results
• Build reproducible data pipelines and automate recurring analyses, model runs, and reporting
• Contribute to shared tooling, frameworks, and standards so solutions are repeatable
• Maintain data models in Snowflake used by analysts and downstream tools
• Create dashboards and decision-support tools that make results actionable
• Document logic, methodology, and assumptions alongside models, tools, and pipelines
• Present findings and limitations in plain language to the team and operational stakeholders
• Report to the Director, Operations Data Science & AI and partner with engineers and operational stakeholders

Architect V – Enterprise Information

Architect V – Enterprise Information

Architect II – Application

Senior Manager – Data Science

Senior Enterprise Information Architect

Data Scientist II