Data, AI & Cloud Advisor-Consultant

What We’re Looking For

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.

This role supports enterprise clients in assessing their data and AI readiness, identifying high-value opportunities, and developing structured strategies and roadmaps. You will work alongside Managers and senior team members to analyze client environments, synthesize insights, and develop clear, actionable recommendations.

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 PowerPoint and Excel

Preferred Qualifications

Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or related field

Internship or experience in consulting, analytics, or data-related roles

Exposure to AI, data platforms, or digital transformation initiatives

* Strong curiosity and interest in AI and emerging technologies