Overview
As Global IT Executive Director, Enterprise and Platform Architecture, you’ll lead the design of scalable, secure, and cost-efficient architecture to propel growth and innovation at BCG. You’ll align IT and data strategy with business goals, ensuring performance and governance across layers while enabling rapid development. You’ll drive cross-layer collaboration, establish security and FinOps best practices, and oversee a large data and platform portfolio. You’ll work with senior leaders to translate business aims into architectural outcomes and foster a culture of operational excellence. This role offers high impact through shaping BCG’s technology foundation and accelerating enterpriseDog—
Responsibilities
- Define and lead IT Architecture and Data Strategy aligning with strategic goals
- Coordinate across IT layers ensuring interoperability and compliance
- Drive cross-layer governance, security, reliability, and cost optimization
- Lead platform-wide initiatives for security, monitoring, and incident response
- Engage with C-Suite and senior stakeholders to align IT priorities with business needs
- Enhance security, observability, disaster recovery, and automation across enterprise architecture
- Oversee delivery of cross-layer initiatives and monitor KPIs (uptime, cost, security)
- Mentor and develop WWIT Technology team and manage Data Portfolio lead
- Optimize product lifecycle with performance analytics and policy compliance
Key requirements
- 15+ years of technical experience
- 5+ years in a strategic leadership role managing enterprise IT architecture
- Expertise in security, reliability, FinOps, and cloud infrastructure
- Proven success in leading cross-layer initiatives and cost optimization
- Familiarity with governance frameworks, zero-trust, and DevOps methodologies
- Commitment to continuous learning and staying ahead of technology trends
- stakeholder management
- leadership and mentoring
- cross-functional collaboration
- cloud infrastructure
- security including zero-trust principles
- reliability and observability (AI-driven monitoring)
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