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