telus-digital - Data, AI & Cloud Advisor-Consultant
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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. • 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. • 4–6 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 • 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
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 • 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
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