Descrição da vaga
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