Technology and Automation 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