Serve as a techno-functional business analyst: gather and translate requirements, design functional specifications, support integrations and data flows (APIs, databases, cloud), collaborate with architects and developers, support UAT and deployment, and drive process improvements and change management for digital transformation initiatives.
About the Job
About Aligned Automation
At Aligned Automation, we live by our "Better Together" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.
Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.
Job Description
Years of Experience: 4 to 6 Years
Business Analyst
with AI/GenAI exposure
Core Business
Analysis
- 4–6 years of experience in Business
Analysis, preferably in data, analytics, automation, or AI initiatives.
- Strong requirements gathering,
stakeholder management, process mapping, gap analysis, and business
process improvement skills.
- Experience creating BRDs/FRDs, user
stories, acceptance criteria, process flows, use cases, and functional
documentation.
- Ability to facilitate workshops with
business and technical stakeholders.
AI / GenAI
Experience
- Hands-on exposure to GenAI/LLM-based
solutions, preferably including Agentic AI.
- Understanding of LLMs, RAG, prompt
engineering, AI agents, knowledge bases, and AI workflows.
- Ability to translate business
requirements into AI/Agent use cases and functional workflows.
- Experience defining agent behavior,
business rules, inputs/outputs, exception scenarios, and human-in-the-loop
requirements.
- Understanding of AI response
evaluation, including accuracy, relevance, groundedness, hallucination,
and business acceptance criteria.
Data &
Technical Skills
- Good understanding of structured and
unstructured data and data-quality concepts.
- Working knowledge of SQL and
ability to perform basic data analysis.
- Understanding of APIs, JSON, system
integrations, and application workflows.
- Exposure to platforms such as DataRobot,
Azure OpenAI, AWS Bedrock, Databricks, Vertex AI, or equivalent would
be valuable.
- Knowledge of knowledge
graphs/Stardog is an added advantage.
Delivery Skills
- Experience working in Agile/Scrum delivery environments.
- Ability to work closely with Product
Owners, AI/ML engineers, developers, architects, and QA teams.
- Support AI use cases across discovery
→ requirements → POC → testing → deployment → adoption.
- Strong documentation, communication,
presentation, and stakeholder-management skills.
The key
requirement should be a strong BA who understands AI/GenAI sufficiently to
bridge business requirements and technical AI teams, and who can
independently drive use-case discovery, requirements, workflow definition,
documentation, and validation.
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