We are looking for a systems-minded transformation leader who can connect enterprise applications, build data foundations, and drive global workflow redesign.
What You'll Do
1. Lead Enterprise Systems & Data Architecture
- Own the end-to-end architecture connecting Oracle/ERP, CRM, HRIS, and operational systems.
- Build and maintain the data foundation that supports AI initiatives, reporting, and global workflows.
- Define and improve master data models to ensure accuracy, consistency, and governance.
2. Drive Cross-Functional System Transformation
- Partner with Operations, Finance, Sales, HR, and IT to redesign workflows supported by enterprise systems.
- Translate business requirements into system configuration, data flow, and integration specifications.
- Optimize ERP structures and related systems to support evolving business needs.
3. Manage System Integration & Connectivity
- Oversee API integrations and data flows across enterprise applications.
- Identify systemic bottlenecks and design scalable long-term solutions.
- Ensure transformation initiatives follow the Incubate Stabilize Transfer model with clear exit criteria for handover.
4. Program Management & Execution
- Lead cross-functional transformation projects from concept to rollout.
- Prepare clear executive updates, risk assessments, and recommendations for the Chief of Staff.
- Maintain alignment across global stakeholders and ensure project success.
What We're Looking For
Must Have
- 7+ years of experience in enterprise systems, ERP/Oracle environments, business systems, or digital transformation roles.
- Strong understanding of cross-functional business processes (Finance, Operations, Sales, HR).
- Experience improving workflows through system enhancements or integrations.
- Excellent communication, requirement gathering, and stakeholder management skills.
- Ability to bridge technical and non-technical teams.
Nice to Have
- Experience with data modeling, ETL, system integration, or governance.
- Familiarity with cloud platforms (Azure, AWS, GCP).
- Experience working in a PMO, transformation office, or digitalization program.
- Background collaborating with AI, data engineering, or analytics teams is a strong plus.
