Senior Data Platform Evangelist

Oracle is seeking an accomplished technical leader who is passionate about AI, actively builds with emerging technologies, and knows how to help organizations turn experimentation into meaningful business outcomes.

In this senior individual contributor role, you will shape and lead AI adoption programs that combine executive engagement, hands-on experiences, technical enablement, and practical implementation guidance. You will identify valuable use cases, build working solutions, and create repeatable approaches that help customers and Oracle teams confidently apply AI.

You will bring both strategic vision and hands-on credibility: engaging executives on AI priorities, working with architects on implementation decisions, and building demonstrations that show what is possible. You will independently lead complex initiatives and scale your impact through reusable programs, technical assets, and mentorship.

AI is the primary focus of this role. Data platforms, cloud architecture, and governance provide the foundation for connecting AI to enterprise information and workflows.

What You’ll Do

Lead AI Adoption Strategy and Programs

• Design, launch, and scale AI adoption programs that help customers progress from awareness and use-case discovery to experimentation, validation, and implementation.
• Build integrated programs incorporating executive briefings, AI Experiences, innovation workshops, hands-on labs, and structured technical follow-through.
• Help customers assess AI readiness, prioritize opportunities, and define adoption roadmaps with clear ownership and measurable outcomes.
• Establish program objectives, delivery approaches, reusable assets, and feedback mechanisms that support consistent execution across teams.
• Measure success through customer progression, validated use cases, implementation milestones, and sustained adoption.

Build and Demonstrate Practical AI Solutions

• Architect and build working solutions using generative AI, AI agents, retrieval-augmented generation, vector search, and agentic workflows.
• Connect AI capabilities to enterprise data, applications, APIs, and business processes.
• Develop compelling demonstrations that communicate business value while standing up to technical scrutiny.
• Evaluate solution quality, reliability, security, latency, and cost, and explain the requirements for moving from prototype to production.
• Turn successful concepts into reusable reference implementations, demonstrations, and hands-on learning experiences.

Shape Executive Conversations and AI Thought Leadership

• Serve as a trusted advisor to executives, technical leaders, and practitioners on enterprise AI strategy and adoption.
• Translate rapidly evolving AI capabilities into clear business implications, architectural choices, and actionable next steps.
• Lead executive briefings, customer workshops, conference presentations, webinars, and strategic technical discussions.
• Develop substantive technical content and practical guidance grounded in direct experimentation and customer experience.
• Articulate Oracle’s approach to enterprise AI with technical credibility and a clear understanding of the broader ecosystem.

Scale AI Capability Across Oracle and Its Ecosystem

• Equip evangelists, architects, sales teams, and partners to deliver effective AI engagements and adoption programs.
• Build facilitator guides, workshop curricula, labs, solution patterns, and implementation guidance that others can use and extend.
• Mentor technical professionals in AI architecture, hands-on development, customer discovery, and executive communication.
• Partner with Product Management, Engineering, Marketing, and field leadership to align programs with customer needs and technical capabilities.
• Translate recurring customer challenges into actionable feedback that informs product direction and adoption strategy.

Establish the Data Foundation for Enterprise AI

• Help customers understand how data quality, access, integration, security, and governance affect AI outcomes.
• Design approaches that connect models and agents to relevant enterprise information with appropriate controls.
• Apply Oracle’s data and cloud capabilities to support retrieval, contextual grounding, analytics, and enterprise integration.
• Guide architectural tradeoffs across existing customer environments, including multicloud and hybrid deployments.

Core Focus Areas

Candidates should bring deep practical expertise in enterprise AI and sufficient data and cloud architecture knowledge to deliver integrated solutions.

• Enterprise AI: Generative AI, foundation models, AI agents, agentic workflows, tool integration, retrieval-augmented generation, embeddings, vector search, and evaluation.
• AI adoption and programs: Use-case discovery, readiness assessment, executive engagement, innovation workshops, hands-on learning, adoption roadmaps, and outcome measurement.
• Responsible implementation: AI security, governance, access controls, human oversight, observability, reliability, and cost management.
• Supporting data and cloud platforms: Oracle Database, Autonomous Database, AI Vector Search, OCI, data integration, analytics, APIs, and multicloud architectures.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• 15+ years of relevant experience in solutions architecture, software engineering, technical consulting, technical evangelism, field engineering, or related disciplines, including leadership of complex enterprise initiatives.
• Demonstrated passion for AI through sustained hands-on experimentation, working solutions, technical contributions, community engagement, or programs that help others adopt AI.
• Practical experience designing and building generative AI solutions, including retrieval-augmented generation, AI agents, or workflows that integrate models with enterprise data and tools.
• A demonstrated record of creating and leading technical adoption, innovation, or enablement programs, with direct experience applying those approaches to AI.
• Ability to translate business challenges into prioritized AI use cases, technical approaches, and measurable success criteria.
• Current hands-on proficiency with Python and relevant APIs, SDKs, and development tools, along with SQL or comparable data-access experience.
• Strong architectural judgment across enterprise integration, data access, security, governance, scalability, and operational readiness.
• Exceptional communication and presentation skills, with experience influencing executives and engaging senior technical practitioners.
• Proven ability to independently lead ambiguous initiatives, build alignment across teams, and deliver outcomes through influence.
• Experience extending impact through reusable assets, repeatable programs, mentorship, and technical enablement.

Preferred Qualifications

• Experience helping organizations advance AI initiatives beyond demonstrations into operational use.
• Experience building and scaling AI adoption programs across multiple customers, business units, regions, or partner communities.
• Familiarity with organizational barriers to AI adoption, including workflow change, user trust, skills readiness, and business ownership.
• Experience evaluating AI models and applications for quality, groundedness, safety, performance, and cost.
• Experience with Oracle’s AI services, OCI, Oracle Database, and related data platform capabilities.
• Working knowledge of the broader AI ecosystem, including open-source frameworks and AI services across major cloud platforms.
• A portfolio of AI applications, demonstrations, technical publications, workshops, open-source contributions, or conference presentations.
• Experience influencing product strategy through customer feedback and collaboration with engineering and product teams.

Additional Experience for Consideration

• Sustained impact defining AI adoption strategy and leading programs across multiple organizations or a significant portfolio of strategic customers.
• A record of originating AI initiatives, securing stakeholder commitment, and establishing repeatable delivery models with measurable results.
• Recognition as a technical authority whose judgment informs consequential AI architecture, investment, or adoption decisions.
• Demonstrated influence on product direction, technical standards, or enterprise AI practices beyond an immediate team.
• Success developing senior technical talent and building organizational AI capability that continues to grow beyond personal involvement.

Travel Requirements

Domestic travel is required to support customer engagements, executive briefings, industry events, and team activities. International travel may also be required based on business needs.

Success Profile

• An AI practitioner with sustained curiosity: Actively builds, tests, and learns, with the judgment to distinguish promising capabilities from unsupported claims.
• A program builder: Turns a strategic objective into a repeatable program with clear ownership, strong execution, and measurable outcomes.
• A hands-on technical leader: Can move from an executive conversation to architecture and working code.
• An adoption leader: Helps customers navigate technical and organizational barriers to meaningful AI use.
• A compelling communicator: Makes complex ideas accessible and gives audiences a clear path to action.
• An organizational multiplier: Builds programs, assets, and expertise that enable others to deliver at scale.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $147,300 to $243,800 per annum. May be eligible for equity and compensation deferral. Eligible for commission with an estimated pay mix of 70/30.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.