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