Technology and Automation Consultant
3 нед. назад
GuatemalaLATAMJuniorHybrid
data analysisaicloud
Early-career technology and automation consultant role focused on data, AI, and cloud advisory services, supporting client engagements and readiness assessments in Guatemala.
Требования
- 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
Будет плюсом
- 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
Другое
- 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.
- 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
- 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
- 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
- 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
- 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
- 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)
- 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
- 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