NA Sales Representative, Data Platform - Professional Services Industry
- Compensation
- Not disclosed
- Location
- Atlanta, GA, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years of successful enterprise technology sales experience.
- Experience selling Data Platform, Database, Analytics, AI, Cloud Infrastructure, SaaS, PaaS, or related solutions.
- Experience selling into Professional Services, Consulting, Business Services, Engineering & Construction, Legal Services, Staffing, or Outsourcing organizations preferred.
- Demonstrated success selling to CIOs, CTOs, CDOs, CFOs, and executive stakeholders.
- Proven track record of exceeding quota and closing complex enterprise opportunities.
- Understanding of modern data architectures, analytics, AI/ML, and cloud technologies.
- Familiarity with multi-cloud strategies involving OCI, AWS, Azure, and GCP.
- Strong prospecting, account planning, communication, presentation, and executive engagement skills.
- Ability to navigate complex organizations and lead cross-functional sales teams to successful outcomes.
Full description
Data Platform Account Executive – Professional Services Industry (Multi-Cloud)Drive Business Transformation Through Data, AI, and Multi-Cloud Innovation
Oracle is seeking a high-performing Data Platform Account Executive to help Professional Services organizations transform how they leverage data, analytics, AI, and cloud technologies. This role focuses on strategic enterprise accounts across Consulting, Business Services, Engineering & Construction, Legal Services, Staffing, and Outsourcing organizations, helping customers modernize data architectures, accelerate AI adoption, and drive business transformation through Oracle's industry-leading Data Platform and multi-cloud portfolio.
If you thrive in complex enterprise sales, enjoy building executive relationships, and have a passion for helping customers solve critical business challenges, we'd love to meet you.
What You'll Do
- Develop and grow strategic Professional Services Industry accounts.
- Build trusted relationships with C-level executives and key business stakeholders, including CIOs, CTOs, CDOs, CFOs, and business leaders.
- Drive sales of Oracle's Data Platform, Database, Analytics, AI, and Cloud solutions.
- Lead customer discussions around data modernization, AI adoption, analytics transformation, operational efficiency, and digital innovation.
- Position Oracle as a strategic partner for multi-cloud and hybrid cloud initiatives spanning Oracle Cloud Infrastructure (OCI), AWS, Microsoft Azure, and Google Cloud.
- Generate, manage, and close complex enterprise opportunities while maintaining a strong sales pipeline and forecast.
- Collaborate with Oracle's Cloud Infrastructure, AI, Industry, Applications, and Solution Engineering teams to deliver customer success.
- Develop account strategies that align Oracle's technology portfolio with customers' business objectives and digital transformation initiatives.
Industry Focus
This role is focused on helping Professional Services organizations—including Consulting, Business Services, Engineering & Construction, Legal Services, Staffing, and Outsourcing firms—modernize their data and analytics environments, improve operational efficiency, optimize resource utilization, enhance client experiences, and accelerate AI-driven business transformation.
You will work with customers to unlock greater value from enterprise data through secure, scalable, multi-cloud architectures while helping them address key business priorities such as project profitability, workforce optimization, resource forecasting, client intelligence, operational visibility, knowledge management, and AI-enabled decision making.
As organizations increasingly leverage AI to improve productivity, automate workflows, and create differentiated client experiences, Oracle's Data Platform, Analytics, AI, and Cloud solutions provide the foundation for innovation at scale.