Job Description

JOB OVERVIEW:

We are seeking a Junior-Mid AI Analyst to act as a bridge between business stakeholders and technical delivery teams. This role is ideal for a strategic thinker who understands business workflows, possesses hands-on programming knowledge, and is passionate about applied AI/ML technologies.

As a Junior-Mid Analyst, you will help identify business problems, explore client data, frame AI/ML use cases for technical teams, and ensure the final solution delivers a clear return on investment.

DUTIES AND RESPONSIBILITIES:

1. Discovery and Strategy to frame business use case

Client Needs Translation & Problem Framing:
- Work with clients and senior teammates to analyze business challenges, map workflows (service blueprints) to better understand customer journey in order to identify gaps and opportunities for AI/ML use cases.
Data Exploration for Business Use Cases:
- Proactively analyze and explore client data (or analogous public/industry data) to identify key data sources, assess data quality, and determine data readiness for AI/ML initiatives.

2. Inception Framework Delivery

Why We Are Here:
- Define initial AI/ML project objectives, scope, and success metrics from a business perspective, ability to bridge AI and ML into the business statement.
The Elevator Pitch
- Create a concise summary of the project's value, target users, and primary differentiation.
Product Vision & Scope
- Establish a clear vision board and define In vs. Out lists to manage expectations and prevent scope creep.
Trade-off Sliders
- Prioritize project constraints-Scope, Budget, Time, and Quality-to guide decision-making during the lifecycle.
Roadmap Creation
- Help create What's Next plans and ROI (return on investment) models to show the value of the AI project.

3. Client Facing & Approaches

Client Engagement & Requirements Elicitation:
- Facilitate client workshops, interviews, and discovery sessions to elicit detailed functional and non-functional requirements for AI/ML solutions.
- Act as a primary liaison between client business stakeholders and the internal technical team.
Solution Conceptualization & Collaboration:
- Collaborate closely with the Solution Architecture team to ensure business requirements are technically feasible and well-understood for rapid prototyping efforts.
- Contribute to the design and conceptualization of initial AI/ML solution architectures.
Public Advocacy & Education to promote AI
- Public speaking to educate potential clients on the transformative power of AI/ML, simplifying complex technical concepts into clear business benefits.
- Develop and deliver compelling presentations and proposals that articulate the value and ROI of AI/ML solutions.

QUALIFICATIONS AND EXPERIENCES:

The Must-Haves:

Education: Minimum Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Technology, Business Analytics, Artificial Intelligence, Information Systems or a related field.
Experience: 2-4 years of experience in AI-related Business Analysis, Data Analysis, Technical Consulting, or a related field (consulting background preferred).
Programming & Technical Literacy: Foundational programming skills (e.g., Python, SQL) for data manipulation, querying, and script-based data exploration.
Applied AI/ML Knowledge: A solid conceptual understanding of modern AI paradigms-including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.
Analytical Mindset: Demonstrated ability to analyze unstructured business problems, identify root causes, and present clear solutions.
Communication Skills: Strong written and verbal skills ability to communicate technical ideas to non-technical stakeholders without heavy jargon.
Agile Methodology: Experience working in fast-paced, iterative build-and-test environments.

The Bonus Points:

Technical Pivot: Background as a Junior Data Scientist, AI Engineer, or Software Developer looking to transition into a strategic, client-facing consulting role.