About Exponentia.ai
Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.
We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.
Awards & Recognitions
- Innovation Partner of the Year - Databricks, 2024
- Digital Impact Award, UK - 2024 (TMT Sector)
- Rising Star - APJ Databricks Partner Awards 2023
- Qliks Most Enabled Partner - APAC
With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.
Learn more: www.exponentia.ai
About The Role
We are seeking an experienced Business Analyst with strong expertise in Generative AI initiatives and Databricks-driven data platforms. Responsible for translating legal and business needs into clear, traceable requirements and acceptance criteria, including requirements related to artificial intelligence-driven search and analysis, ensuring the delivered solution matches what is explicitly documented.
This role requires deep experience in GenAI use case discovery, data-driven decision-making, product/business requirement documentation, and enterprise-scale analytics platforms.
Key Responsibilities
- Design, develop, and maintain data pipelines using Apache Airflow.
- Maintain traceability between functional, data management, and search requirements, including those enabled by artificial intelligence.
- Work with stakeholders to clarify how artificial intelligence should be used in searching, ranking, summarisation, or classification.
- Define clear acceptance criteria for sprint deliverables that include artificial intelligence behaviour.
- Support business users during user acceptance testing and validate AI-driven outputs against agreed expectations.
- Manage requirement changes and assess their impact on scope, delivery, and AI usage.
- Ensure no documented requirement is missed, misinterpreted, or over-extended.
- Translate business objectives into functional and technical requirements for GenAI and Databricks-based solutions.
- Work closely with data engineers and AI teams to support solution design, validation, and implementation.
- Define business requirements documents (BRD), functional requirement documents (FRD), and user stories.
- Analyze business processes and recommend AI-driven automation, optimization, and innovation opportunities.
- Support model performance tracking, AI governance, and responsible AI practices.
- Collaborate with Databricks teams to interpret data pipelines, analytics outputs, and ML model results.
- Conduct stakeholder workshops, requirement gathering sessions, and solution walkthroughs.
- Monitor project progress, identify risks, and ensure alignment with business KPIs and ROI goals.
- Support UAT, change management, and post-deployment performance tracking.
Ideal Candidate Profile
- 8+ years of experience as a Business Analyst in enterprise technology or analytics projects.
- Business analysis experience on systems that use artificial intelligence or advanced search.
- Experience working in legal or compliance-driven environments.
- Strong requirement documentation, validation, and traceability skills.
- Supporting agile delivery teams where artificial intelligence features are delivered incrementally.
- Strong hands-on exposure to Generative AI (LLMs, AI-driven automation, NLP, copilots, AI agents).
- Proven experience working on Databricks-based projects (data platforms, analytics, ML workflows).
- Expertise in requirement gathering, business process mapping, and stakeholder management.
- Strong understanding of data analytics, ML lifecycle, and AI solution workflows.
- Experience working with cross-functional teams - Data Engineers, ML Engineers, Product Owners.
- Ability to translate technical AI concepts into business language.
- Strong documentation, communication, and presentation skills.
Good To Have
- Experience working in AI/ML product delivery environments.
- Exposure to cloud platforms (AWS, Azure, GCP).
- Knowledge of model evaluation, AI governance, fairness, and risk management.
- Experience with Agile/Scrum delivery frameworks.
- Background in banking, insurance, healthcare, or enterprise analytics.
Why Join Exponentia.ai?
- Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms.
- Shape the Practice: Build a marquee capability from the ground up with full ownership.
- Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI.
- Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore.
- Continuous Growth: Access to certifications, tech events, and partner-led innovation labs.
- Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership.
Ready to build the future of AI with us? Apply now and become a part of a next-gen tech company that’s setting benchmarks in enterprise AI solutions.
(ref:hirist.tech)