Master Principal Architect, Data Platform - Fsi

Oracle Oracle · Enterprise · United States

Master Principal Architect for Oracle's Data Platform in the Financial Services Industry (FSI). This presales role focuses on helping financial institutions modernize their data estates and accelerate business transformation using Oracle's data, analytics, AI, and cloud technologies. The architect will act as a trusted advisor to customers and sales teams, designing and presenting solutions, leading technical discovery, and providing industry expertise on trends, regulations, and AI-driven innovation.

What you'd actually do

  1. Partner with sales teams to identify, qualify, and advance strategic opportunities involving Oracle's Data Platform portfolio.
  2. Build trusted advisor relationships with CIOs, CTOs, Chief Data Officers, Chief Analytics Officers, enterprise architects, and business leaders within financial services organizations.
  3. Lead technical discovery sessions to understand customer business objectives, challenges, architecture, and transformation initiatives.
  4. Architect and present compelling business and technical solutions leveraging Oracle's data, analytics, AI, and cloud technologies.
  5. Develop executive-level presentations, solution strategies, business value assessments, and technical proposals that clearly articulate Oracle's differentiation.

Skills

Required

  • Deep expertise in enterprise data platforms, cloud databases, analytics, AI/ML, data integration, governance, and modernization initiatives.
  • Strong understanding of Financial Services Industry business processes, regulatory requirements, compliance frameworks, and digital transformation priorities.
  • Experience engaging senior executives including CIOs, CTOs, CDOs, Heads of Data & Analytics, and business-line leaders.
  • Demonstrated ability to lead large, complex technical pursuits involving multiple stakeholders and cross-functional teams.
  • Strong knowledge of enterprise technology buying cycles and the factors influencing customer decision-making.

Nice to have

  • Solution engineering
  • enterprise architecture
  • consulting
  • cloud architecture
  • customer-facing technical roles
  • complex enterprise technology sales cycles
  • strategic customer engagements

What the JD emphasized

  • regulatory requirements
  • risk management
  • fraud detection
  • customer analytics
  • AI-driven innovation
  • regulatory requirements
  • compliance frameworks

Other signals

  • AI/ML solutions
  • data management solutions
  • modernize mission-critical workloads
  • unlock business insights
  • accelerate innovation
  • AI-driven innovation