VP, IT Data, Analytics, & Innovations
About Rimini Street, Inc.
Rimini Street, Inc. (Nasdaq: RMNI), a Russell 2000® Company, is a proven, trusted global provider of end-to-end, mission-critical enterprise software support, managed services and innovative Agentic AI ERP solutions, and is the leading third-party support provider for Oracle, SAP and VMware software. Our comprehensive portfolio of unified solutions help run, manage, support, customize, configure, connect, protect, monitor, and optimize enterprise application, database and technology software, enabling our clients to achieve better business outcomes, significantly reduce costs and reallocate resources towards strategic projects. The Company has signed thousands of contracts with Fortune Global 100, Fortune 500, midmarket, public sector and government organizations who selected Rimini Street as their trusted, proven mission-critical enterprise software solutions provider and achieved better operational outcomes, realized billions of US dollars in savings and funded AI and other innovation investments. We are currently seeking a Vice President, IT Data, Analytics, AI & Innovation.
Position Summary
The Vice President, IT Data, Analytics, AI & Innovation is a strategic technology leader responsible for defining and executing Rimini Street's enterprise strategy for data, analytics, artificial intelligence, automation, and innovation. This executive will drive business growth, operational efficiency, and productivity through the effective use of data, AI, and emerging technologies. The ideal candidate combines deep expertise in Data & AI with broad leadership experience across Enterprise Architecture, Application Development, Infrastructure, IT Operations, Cybersecurity, and Cloud Platforms. They are commercially savvy, action-oriented, and have a proven track record of delivering transformational business outcomes.
Key Responsibilities
Lead the strategy, roadmap, and execution for Data, Analytics, AI, Automation, and Innovation across the enterprise.
Establish enterprise data governance, architecture, engineering, analytics, and business intelligence capabilities that enable data-driven decision-making.
Lead AI strategy, governance, adoption, and value realization, including Generative AI, Agentic AI, Microsoft Copilot, Machine Learning, and Intelligent Automation.
Identify, prioritize, and deliver high-value AI and automation use cases that improve productivity, operational efficiency, customer experience, and business performance.
Evaluate and scale emerging technologies and innovation initiatives that support digital transformation and competitive advantage.
Partner with leaders across Architecture, Application Development, Infrastructure, IT Operations, and Cybersecurity to ensure alignment with enterprise technology strategies and modernization efforts.
Build and lead high-performing teams while fostering a culture of innovation, accountability, and continuous improvement.
Serve as a trusted advisor to executive leadership on technology-enabled business transformation and investment decisions.
Ensure compliance with security, privacy, governance, regulatory, and responsible AI requirements.
Qualifications
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Artificial Intelligence, or a related field.
MBA or advanced degree preferred.
15+ years of progressive IT leadership experience.
Proven leadership across Data & Analytics, AI, Enterprise Architecture, Application Development, Infrastructure, Cybersecurity, and IT Operations.
Demonstrated success leading enterprise-scale transformation, modernization, and innovation initiatives.
Proven delivery experience executing complex, cross-functional programs from strategy through implementation and adoption.
Experience building and scaling high-performing technology organizations.
Strong understanding of cloud platforms, enterprise applications, software development, cybersecurity, and modern data architectures.
Experience communicating with executive leadership and Board-level stakeholders.
Leadership Competencies
Commercial Acumen – Understands how technology investments drive growth, profitability, efficiency, and business value.
Bias for Action – Operates with urgency, accountability, and a strong focus on execution and results.
Critical Thinking – Solves complex business and technology challenges through analytical and data-driven decision making.
Strategic Leadership – Aligns technology investments, AI initiatives, and innovation programs to business priorities and future growth.
Executive Presence – Influences stakeholders at all levels and communicates complex concepts in clear business terms.
Preferred Technical Experience
Experience with many of the following technologies is preferred: Microsoft Copilot and AI ecosystem, Azure AI Services and OpenAI technologies, Generative AI and Agentic AI platforms, Snowflake, Microsoft Fabric, Power BI, Qlik, Python and SQL, Azure, AWS, and/or Google Cloud Platform (GCP).
Location
Remote - West U.S.