Data, AI & Cloud Advisor-Consultant

Requirements

• The Data, AI, & Cloud Advisor (Consultant) plays a key role in shaping and delivering high-quality advisory services across data, analytics, and AI transformation initiatives.
• You will engage with business and technical stakeholders, support workshops and interviews, and help translate complex data and AI concepts into structured, business-aligned outputs.
• This is an early-career consulting role requiring strong analytical thinking, curiosity, and the ability to operate in ambiguous, fast-paced environments.
• Core Responsibilities
• AI & Data Readiness Assessment Support
• Support delivery of AI and Data Readiness assessments across governance, operating models, and AI capabilities
• Assist in stakeholder interviews and document key insights
• Analyze current-state data ecosystems, processes, and tools
• Identify gaps between business ambition and current data/AI capabilities
• Client Engagement, Workshops & Demonstrations
• Actively participate in client engagements, contributing to discussions, analysis, and development of strategic recommendations
• Contribute to shaping clear, compelling narratives that connect AI and data capabilities to tangible business outcomes
• Support the design and development of client workshops, including:
• Structuring agendas
• Creating materials and frameworks
• Preparing supporting analysis and content
• Contribute to the development of compelling demonstrations, prototypes, and "art of the possible" scenarios that help clients visualize data and AI solutions
• Assist in delivering portions of workshops, demos, and working sessions, with guidance from senior team members
• Capture, synthesize, and translate client discussions into structured outputs, including key insights, recommendations, and next steps
• Support the identification and constructive challenge of assumptions, ensuring recommendations are grounded in business reality and data feasibility
• Research, Analysis & Use Case Structuring
• Conduct research on industry trends, benchmarks, and leading practices
• Analyze qualitative and quantitative inputs to generate structured insights
• Break down ambiguous problems into clear components and hypotheses
• Support identification and evaluation of AI and data use cases based on business value, feasibility, and data readiness
• Contribute to structuring use case portfolios and prioritization approaches
• Strategic Deliverable Development
• Develop high-quality, client-ready materials, including:
• Maturity assessments
• Gap analyses
• Use case inventories
• Roadmap components
• Synthesize findings into clear, structured narratives
• Incorporate insights from prototypes and POCs into strategic recommendations and roadmaps
• Business Development Support
• Support proposal development, research, and content creation
• Contribute to presentation materials and client-facing documents
• Assist in identifying insights that may inform follow-on opportunities
• Technical Literacy (Expected Exposure, Not Ownership)
• Awareness of:
• Cloud platforms (Azure, AWS, or GCP)
• Data pipelines and integration concepts (ETL/ELT, APIs)
• Analytics and BI tools
• Understanding of how data and AI systems integrate within enterprise environments (no coding required)
• Prototyping & Solution Shaping Support
• Support the development of early-stage concepts, prototypes, and proofs-of-concept (POCs) to help validate data and AI use cases
• Contribute to shaping solution approaches by translating business problems into initial data and AI solution concepts
• Collaborate with technical and engineering teams to explore feasibility and validate assumptions
• Help document prototype outcomes, insights, and implications for scaling or further investment
• What Success Looks Like
• Produces consistently high-quality, structured, client-ready deliverables
• Demonstrates strong analytical thinking and attention to detail
• Effectively synthesizes stakeholder inputs into clear insights
• Contributes meaningfully to team problem-solving and engagement delivery
• Builds foundational expertise in AI, data strategy, and consulting methodologies
• Becomes a reliable, trusted contributor within project teams
• Contributes to identifying insights that support follow-on opportunities or expanded client value
• Skills & Requirements
• 5-6 years of experience in consulting, analytics, data, or related roles
• Foundational understanding of:
• Data management (governance, quality, integration concepts)
• AI and analytics concepts (ML, GenAI, LLMs at a high level)
• Strong analytical and structured problem-solving skills
• Excellent communication and presentation skills
• Ability to work in ambiguous, fast-paced environments
• Proficiency in Powe

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Company Intel

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