Sr. Architect - Data & AI Platform Strategy

This role defines and advances the architecture for data and platform capabilities, focusing on performance management and AI/ML integration. It involves establishing architecture standards, designing data models, and ensuring seamless integration across systems to drive insights and optimize platform performance within an enterprise AI context.

What you'd actually do

  1. Define and lead conceptual and logical architecture models that enable Performance & Platform Management capabilities, including measurement foundations, platform utilization insights, and enterprise visibility (e.g., Visibility Data Warehouse), ensuring alignment to business outcomes and global data strategy.
  2. Establish and govern scalable architecture patterns for data, AI, and API-driven integrations, enabling seamless connectivity across operational platforms, analytics environments, and enterprise systems while ensuring performance, reliability, and reusability.
  3. Drive integration of AI/ML-enabled insights and advanced analytics into platform performance and operational workflows, enabling predictive, real-time decision-making and enhancing enterprise-wide transparency and efficiency.
  4. Partner cross-functionally with product, engineering, and business stakeholders to translate strategic objectives into architecture solutions, aligning platform capabilities to KPIs, executive reporting needs, and continuous improvement initiatives across Global Technology.
  5. Support the full Software Development Lifecycle (SDLC)—from architecture and design through implementation, testing, deployment, and optimization—ensuring architectural integrity, adherence to standards, and continuous performance improvement across platform and data solutions.

Skills

Required

  • architecture
  • data platforms
  • performance/operational analytics
  • data architecture
  • API integrations
  • modern platform technologies
  • cloud-native
  • AI/ML capabilities
  • translate business strategy into scalable technical solutions
  • Agile/SDLC frameworks
  • performance optimization
  • governance
  • continuous improvement

Nice to have

  • enterprise data and integration tools
  • Informatica
  • Maestro
  • ERwin
  • data modeling
  • lineage
  • governance
  • metadata management
  • Azure cloud architecture
  • Azure development
  • Azure data services
  • integration patterns
  • scalable, cloud-native platform design
  • implementing advanced AI integration and insight frameworks
  • predictive analytics
  • intelligent automation
  • real-time business insights

What the JD emphasized

  • AI/ML-enabled insights
  • advanced analytics
  • platform performance
  • operational workflows
  • enterprise visibility
  • data architecture
  • API integrations
  • modern platform technologies
  • cloud-native and AI/ML capabilities

Other signals

  • Define and lead conceptual and logical architecture models that enable Performance & Platform Management capabilities
  • Establish and govern scalable architecture patterns for data, AI, and API-driven integrations
  • Drive integration of AI/ML-enabled insights and advanced analytics into platform performance and operational workflows