Solutions Architect

Job Title: IBP Technical Lead – Solution Architect & Platform Enablement

LATAM - Remote

Role Overview

This is a senior individual contributor role responsible for driving technical direction across IBP transformation, with a focus on the o9 platform, data ecosystems, and AI-enabled forecasting workflows.

The IBP Technical Lead acts as a cross-functional technical advisor, working across delivery PODs to ensure scalable architecture, consistent design patterns, and high-quality execution. This role is less about individual development and more about elevating delivery across teams—reducing rework, improving platform adoption, and enabling a sustainable operating model.

Must-Have Requirements

• 10+ years of experience in solution architecture, enterprise platforms, data engineering, or analytics delivery
• Strong hands-on experience with o9 Solutions (or comparable planning platforms such as Kinaxis, Blue Yonder, or Anaplan)
• Proven expertise in enterprise data engineering, including:
• Data pipelines & integration design
• Data quality & validation frameworks
• Data lineage and governance
• Experience working in large-scale enterprise transformation programs or managed services environments
• Familiarity with Azure data services and modern integration patterns
• Ability to review technical designs, identify risks (performance, scalability, technical debt), and provide actionable guidance
• Experience defining and enforcing architecture standards, guardrails, and reusable patterns
• Strong cross-functional collaboration skills, with the ability to influence without direct authority

Preferred Qualifications

• Deep experience specifically with o9 platform architecture, configuration, and release management
• Exposure to AI/ML-driven forecasting and scenario planning workflows
• Experience supporting IBP (Integrated Business Planning) initiatives in CPG or supply chain environments
• Background creating runbooks, reference architectures, and implementation playbooks
• Familiarity with Agile POD-based delivery models
• Experience bridging data engineering, analytics, and business planning workflows
• Strong documentation and knowledge-sharing practices that improve team self-sufficiency

Day-to-Day Responsibilities

• Provide architectural guidance across o9 and related planning, data, and analytics solutions
• Review solution designs to identify scalability issues, risks, and non-standard approaches
• Define and promote standardized design patterns, integration frameworks, and guardrails
• Partner with POD teams to improve consistency, delivery quality, and platform adoption
• Support technical issue resolution and escalations that span multiple teams
• Guide teams on data pipeline design, validation, and integration within Azure environments
• Collaborate with data science and analytics teams to ensure forecasting workflows are scalable and operationally sound
• Develop and maintain runbooks, design guidance, and reusable assets
• Identify cross-team dependencies and proactively mitigate delivery risks
• Partner with stakeholders to align technical execution with roadmap priorities and governance standards

What Success Looks Like

• Improved delivery confidence and speed across PODs
• Reduced technical debt and rework through better upfront design
• Increased consistency and scalability of platform implementations
• Strong adoption of standardized architecture patterns and best practices
• A more sustainable and efficient IBP, Data & AI operating model