Houston Technology Consulting Intern - 2027

Protiviti•Houston, TX

1d•$28 - $38•Hybrid

About The Position

Protiviti Technology Consulting interns work with clients, typically leading global companies, to collaborate with teams and deliver high-quality, client-focused solutions to complex business problems. The internship develops technical and professional capabilities, industry experience, and leadership skills through hands-on project work, training, and interaction with practice leaders. Interns receive onboarding through Liftoff with Protiviti and participate in The Intern Challenge, an experiential learning course. Talent Managers assign project experiences based on career growth, skills, and business needs, while a network of advisors provides guidance and support. Interns may work across industries and participate in internal initiatives, committees, employee network groups, and social, civic, and networking activities. The internship also provides a preview of Protiviti’s Foundations entry-level full-time career opportunity. Technology Consulting interns are hired into one of six areas: Business Platform Transformation; Enterprise Data, Analytics & AI; Microsoft; Security and Privacy; Technology Risk and Resilience; or Technology Strategy and Architecture. These teams work on technology modernization, data and AI, Microsoft solutions, cybersecurity and privacy, enterprise risk and resilience, and technology strategy and architecture.

Requirements

Currently enrolled in a relevant bachelor’s or master’s degree program and expected to graduate within 12 months after the internship.
Must be authorized to work in the United States for Protiviti without sponsorship now or in the future.
Experience solving problems using AI-powered productivity and collaboration tools, such as Microsoft Copilot or GenAI.
Advanced verbal and written communication skills.
Ability to apply critical thinking and innovation to client engagements across industries.
Technical proficiency aligned with the assigned capability area.
Works effectively both in teams and independently.
Creative and analytical approach, with a growth mindset and willingness to seek feedback and guidance.
Strong academic background and drive toward obtaining professional technical certifications.
Ability to convey complex technical concepts to technical and non-technical audiences.
Must be at least 18 years old at the time of the internship.
Applicants may apply for only one location or capability; duplicate applications will not be accepted.

Nice To Haves

Understanding of business intelligence reporting tools such as Power BI, BusinessObjects, Cognos, MicroStrategy, Tableau, QlikView, or SSRS.
Competency with Microsoft SQL Server, MySQL, Oracle, Teradata, or other major database management systems.
Entry-level proficiency with domain management strategies, network segmentation, firewalls, and middleware tools.
Introductory knowledge of internal control frameworks or IT controls, including IT and business/technology risks.
Familiarity with technology project risks and strategies for managing and mitigating them.
Programming skills such as Python, Java, or JavaScript.
Knowledge of security topics such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, least privilege, software attack methods, and data storage.
Familiarity with ERP systems such as SAP, Oracle, Microsoft Dynamics, or Workday, and implementation concepts including business process mapping, technical design documentation, data migration, and testing support.
Foundational understanding of cybersecurity, resilience, and risk management frameworks and industry regulation.
Exposure to cloud platforms such as AWS, Azure, or GCP and modern customer technology environments.
Strong analytical and data manipulation skills using Excel, Power BI, or similar tools.
Ability to synthesize research, develop clear documentation, and communicate findings effectively in team settings.
Experience working with data for AI or automation use cases, including data cleaning and model support.
Experience applying AI tools to improve efficiency, streamline analysis, and support project delivery.

Responsibilities

Collaborate with teams to deliver client-focused solutions to complex business problems.
Contribute to client engagements across industries and work on assigned project experiences.
Apply technical and professional capabilities to client and internal initiatives.
Participate in onboarding, training, experiential learning, and professional development opportunities.
Evaluate, synthesize, organize, and interpret data and information.
Communicate technical concepts and project findings to technical and non-technical audiences.
Use AI tools to improve work efficiency, streamline analysis, and support project delivery.