Enterprise Data Platform Sales, Greenfield

Oracle Oracle · Enterprise · United States

This role focuses on leading enterprise-level sales and adoption of Oracle's cloud-enabled transformation solutions, including Data and AI capabilities. The individual will engage with C-suite executives to guide them through the entire adoption journey, from discovery to value realization, and translate complex technical offerings into clear business value. The role requires strong sales, strategy, and technical advisory skills within the enterprise cloud and AI/ML space.

What you'd actually do

  1. Lead credible, boardroom-level conversations with CTOs, CIOs, and Chief Architects on architecture, modernization, data strategy, AI/ML, security, and operating model evolution.
  2. Guide enterprises through the adoption journey: discovery, business case/ROI, architecture and governance, pilot/MVP, scale, and value realization.
  3. Operate entrepreneurially— establish Oracle as key strategic technology partner. Own the deal and solution strategy end to end. Build and deliver compelling demos, POVs, and reference architectures without heavy reliance on sales engineering.
  4. Develop and execute account strategies and executive relationships that drive multi-year transformational agendas.
  5. Translate complex technical capabilities ( PaaS, IaaS, Database, Data/AI) into clear business value and risk-managed adoption plans.

Skills

Required

  • Proven credibility selling to and advising the C-suite—especially CTOs—on modernization, cloud-native architectures, data platforms, and AI/automation.
  • Demonstrated success leading enterprise technology adoption and change management (governance, security/compliance, FinOps, SRE/DevOps, upskilling).
  • Entrepreneurial, self-starter mindset; comfortable building solutions, running POVs, and creating decision-ready materials without heavy SE support.
  • Track record of exceeding targets with complex, multi-stakeholder sales cycles and large transformation programs.
  • Deep experience with Oracle Cloud and/or major cloud platforms; fluency across SaaS, IaaS, PaaS, Database, integration, and observability.
  • Hands-on familiarity with modern engineering and open-source tooling (containers/Kubernetes, Terraform/IaC, Linux, Java, microservices, CI/CD).
  • Exceptional executive storytelling: able to articulate strategy, architecture, Enterprise Design Patterns, and risk mitigation clearly and concisely.
  • Strong collaboration skills and the ability to influence across customer executives, architects, procurement, and partner ecosystems.
  • Commitment to continuous learning and thought leadership; comfortable operating in ambiguity and moving quickly.

Nice to have

  • Experience helping global enterprises adopt new technology.
  • Background in computer science, distributed computing, product-led growth, or founding/early-stage roles that required building from zero-to-one.

What the JD emphasized

  • AI/ML
  • AI/automation
  • data strategy
  • modernization
  • cloud-native architectures
  • data platforms