Enterprise AI Data Platform Sales Lead (Energy & Utilities)

Oracle; Hartford (CT); Remote; USD 110,000 - 194,000; Full time

Job summary

Oracle is recruiting for a Data Platform Sales professional to drive growth across Energy, Oil & Gas, Utilities and Engineering Services. You will promote the AI Data Platform, multicloud solutions, and data modernization initiatives, engaging CIOs and senior leaders to close strategic opportunities.

You will collaborate with Solution Engineering, Product Management, Consulting, Alliances, and Industry units to deliver differentiated outcomes and expand Oracle's market footprint in a dynamic,

Qualifications

• Experience selling enterprise cloud, AI Data Platform, database, analytics, infrastructure, or multicloud solutions into Energy, Oil & Gas, Utilities, or Engineering Services customers.
• Strong understanding of industry trends including energy transition, OT, predictive analytics, grid modernization, asset management, sustainability, and industrial AI.
• Demonstrated success engaging C-suite executives, engineering organizations, operations leaders, and DevOps/platform teams.
• Proven ability to drive complex enterprise sales cycles involving cloud modernization, AI, analytics, security, and multicloud architectures.
• Experience developing and growing multicloud opportunities involving OCI, Azure, AWS, and Google Cloud ecosystems.
• Deep understanding of SaaS, IaaS, PaaS, Database, Analytics, Security, and AI-enabled data architectures.
• Familiarity with Kubernetes, Docker, Terraform, Linux, Java, APIs, and automation frameworks.
• Entrepreneurial spirit in dynamic environments.
• Strong consultative and value-based selling skills.
• Excellent communication, presentation, and executive storytelling abilities.
• Collaborative mindset in matrixed, team-selling settings.
• Proven track record exceeding sales goals and driving measurable outcomes.
• Strong forecasting and pipeline management discipline.
• Commitment to continuous learning and growth.

Responsibilities

• Develop a deep understanding of the Energy, Oil & Gas, Utilities, and Engineering Services industries and their digital drivers.
• Drive AI Data Platform adoption and multicloud growth strategies across enterprise accounts.
• Help customers develop data strategies enabling AI execution and operational intelligence.
• Position Oracle as a trusted advisor for data convergence, governance, and standardization.
• Build long-term relationships with executives, technology leaders, and operational stakeholders.
• Establish executive engagement with CIOs, CTOs, CISOs, CDOs, and operations leaders.
• Develop robust pipeline generation strategies and customer-centric account plans.
• Lead enterprise sales cycles focused on cloud modernization, AI data platforms, analytics, security, and multicloud solutions.
• Collaborate across Oracle ecosystems to deliver differentiated customer outcomes.
• Drive awareness and pipeline growth for Oracle AI Data Platform offerings and multicloud capabilities.
• Expand multicloud opportunities through partnerships with Microsoft Azure, AWS, and GCP.
• Identify and execute hybrid cloud and data modernization strategies across environments.
• Prospect net-new opportunities and expansion motions in assigned accounts.
• Communicate Oracle’s differentiated story with confidence and executive presence.

Skills

Enterprise cloud sales

AI Data Platform

Multicloud strategy

Executive engagement

Data architecture understanding

Cloud modernization

Technical collaboration

Tools

Kubernetes

Docker

Terraform

Linux

Job description

Oracle is recruiting for a Data Platform Sales professional to drive growth across Energy, Oil & Gas, Utilities and Engineering Services. You will promote the AI Data Platform, multicloud solutions, and data modernization initiatives, engaging CIOs and senior leaders to close strategic opportunities.

You will collaborate with Solution Engineering, Product Management, Consulting, Alliances, and Industry units to deliver differentiated outcomes and expand Oracle's market footprint in a dynamic,