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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
