Pune, MH, India
Information Technology
Full-Time
UST Global
Overview
ID: 58382
7 - 9 Years
1 Opening
Trivandrum
Role description
Job Description - Senior Business Analyst (Data Analytics & AI Enablement)
We are seeking a highly analytical and strategic Senior Business Analyst with strong Data Analytics and AI Enablement capabilities to support enterprise transformation initiatives driven by data, automation, and Artificial Intelligence. The ideal candidate will play a critical role in bridging business objectives, data intelligence, and AI solution development by translating business problems into analytical and AI-ready requirements.
This role requires a strong foundation in business analysis, data interpretation, stakeholder engagement, and AI-driven process transformation. The candidate should possess an active IIBA - Certification in Business Data Analytics (CBDA) and demonstrate the ability to work closely with business leaders, data scientists, AI engineers, architects, and product teams to build intelligent, data-driven systems.
Role: Senior Business Analyst - Data Analytics & AI Enablement
Experience: 8-12+ Years
Employment Type: Full-Time
Location : TVM (Preferred), Kochi, Chennai, Bangalore, Hyderabad, Pune.
Role Overview
The Senior Business Analyst will be responsible for driving business analysis initiatives focused on data-centric transformation and AI adoption. The role involves identifying business opportunities, defining AI use cases, analyzing enterprise data, supporting AI model enablement, and ensuring business alignment throughout the AI/ML lifecycle.
The ideal candidate should be capable of:
- Understanding enterprise business processes and translating them into AI-enabled opportunities.
- Defining data requirements for AI/ML systems.
- Working with structured and unstructured datasets.
- Collaborating with Data Science and Engineering teams to operationalize AI solutions.
- Driving measurable business outcomes using analytics and intelligent automation.
Key Responsibilities
Business Analysis & AI Use Case Discovery
- Partner with business stakeholders to identify opportunities for AI-driven transformation and intelligent automation.
- Conduct workshops, discovery sessions, and process assessments to identify high-value AI/ML use cases.
- Translate business problems into analytical models, AI requirements, and measurable success metrics.
- Define business requirements for AI-enabled systems including recommendation engines, predictive analytics, conversational AI, intelligent workflows, and decision-support systems.
- Create BRDs, FRDs, process flows, user stories, acceptance criteria, and AI use-case documentation.
Data Analysis & AI Readiness
- Analyze structured and unstructured datasets to identify patterns, trends, anomalies, and predictive opportunities.
- Define data requirements, business KPIs, feature requirements, and data quality expectations for AI models.
- Collaborate with Data Engineering teams to validate data availability, lineage, completeness, and governance.
- Support exploratory data analysis (EDA) initiatives for AI/ML projects.
- Assist in identifying training datasets, labeling requirements, and data preparation needs for AI systems.
- Evaluate data quality and business relevance for model accuracy and reliability.
AI/ML Collaboration & Solution Enablement
- Work closely with Data Scientists, ML Engineers, Product Managers, and Architects throughout the AI solution lifecycle.
- Participate in AI model requirement discussions, feature engineering workshops, and model validation reviews.
- Help define AI success criteria including precision, recall, explainability, bias mitigation, and business impact metrics.
- Support User Acceptance Testing (UAT) and validation of AI outputs against business expectations.
- Ensure AI solutions align with operational workflows, compliance requirements, and ethical AI principles.
- Assist in designing human-in-the-loop workflows for AI-driven decision systems.
Analytics, Reporting & Insights
- Build executive dashboards and analytical reports using BI and visualization tools.
- Interpret AI and analytics outputs and communicate insights effectively to leadership teams.
- Present recommendations supported by data storytelling and business impact analysis.
- Define operational metrics to monitor AI adoption, performance, and business value realization.
Process Transformation & Governance
- Identify opportunities for intelligent automation and AI-assisted process optimization.
- Support AI governance initiatives including data privacy, compliance, auditability, and responsible AI practices.
- Establish traceability between business objectives, data requirements, and AI outcomes.
- Contribute to enterprise AI transformation programs and continuous improvement initiatives.
Required Qualifications
- Bachelor s degree in Business Administration, Data Analytics, Information Systems, Computer Science, Engineering, or related discipline.
- 8+ years of Business Analysis experience with strong exposure to Data Analytics and AI-enabled initiatives.
- Mandatory: IIBA - Certification in Business Data Analytics (CBDA)
- Experience working in AI/ML, Data Analytics, Digital Transformation, or Intelligent Automation programs.
- Strong understanding of Agile, Scrum, and product-oriented delivery models.
Required Technical & Functional Skills
Business Analysis
- Requirements elicitation and management
- AI use case definition
- BPMN / process modeling
- User stories and backlog management
- Gap analysis and impact analysis
- Stakeholder management and workshop facilitation
Data Analytics & AI
- Data analysis and interpretation
- Exploratory Data Analysis (EDA)
- KPI and metrics framework definition
- AI/ML lifecycle understanding
- Knowledge of supervised and unsupervised learning concepts
- Understanding of Generative AI, NLP, predictive analytics, and recommendation systems
- Familiarity with AI model evaluation metrics and responsible AI principles
Tools & Platforms
- Power BI / Tableau / Looker
- SQL
- Jira / Confluence
- Excel
- Familiarity with cloud AI ecosystems:
- Microsoft Azure AI
- AWS AI/ML Services
- Google Vertex AI
Preferred Qualifications
- Experience working with Generative AI or Conversational AI initiatives.
- Exposure to enterprise AI transformation programs.
- Knowledge of data governance, metadata management, and AI compliance frameworks.
- Experience supporting AI model operationalization or MLOps initiatives is an added advantage.
- Additional certifications such as CBAP, PMI-PBA, Scrum certifications, or AI-related certifications are preferred.
Core Competencies
- Analytical and systems thinking
- AI-driven problem-solving mindset
- Strong business acumen
- Strategic thinking and innovation
- Executive communication and storytelling
- Data-driven decision-making
- Cross-functional collaboration
- Ability to bridge business and AI/technical teams
Skills
business analysis,data analysis,ai/ml,data interpretation,ai-driven process transformation,
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
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