Senior Development Lead Advanced RPA

Job description

Business Analyst – AI Practice We are looking for a seasoned Business Analyst with hands-on experience on AI/ML and data projects to join our AI Practice at Band 2.2. You will act as the critical bridge between business stakeholders and AI delivery teams — translating complex business problems into structured requirements, validating AI-driven solutions, and ensuring that delivered models and platforms create measurable business value. This role requires a blend of strong analytical thinking, domain knowledge, and a working understanding of how AI/ML solutions are built and deployed in enterprise environments. Key Responsibilities KEY RESPONSIBILITIES Requirements & Discovery Facilitate workshops with business stakeholders to elicit, document, and prioritise requirements for AI/ML solutions Translate ambiguous business problems into well-structured problem statements, use cases, and acceptance criteria Conduct as-is process mapping and identify AI intervention points with measurable ROI Define data requirements: sources, quality standards, labelling needs, and feature specifications for ML models AI Solution Analysis & Validation Collaborate with data scientists and ML engineers to validate that model outputs align with business expectations Design and execute User Acceptance Testing (UAT) for AI-powered applications including GenAI and NLP tools Develop evaluation frameworks: KPIs, model performance metrics tied to business outcomes Identify edge cases, bias risks, and explainability needs; escalate findings through appropriate governance channels Stakeholder Management & Communication Serve as the primary liaison between client business teams and HCLTech AI delivery squads Prepare and present business requirement documents (BRDs), functional specifications, and solution walkthroughs Manage stakeholder expectations, track change requests, and maintain a requirements traceability matrix Data & Process Analysis Perform exploratory data analysis to assess data readiness, completeness, and suitability for AI modelling Map and document data flows, pipelines, and integration points across enterprise systems Partner with data engineers to define data ingestion, transformation, and governance requirements Delivery Support Work in Agile/Scrum delivery models — write user stories, manage backlogs, and facilitate sprint ceremonies Support project managers on scope definition, effort estimation, and risk identification Contribute to post-go-live reviews and continuous improvement cycles Skill Requirements REQUIRED QUALIFICATIONS & EXPERIENCE Experience 7 – 10 years of total experience with at least 3 years directly on AI/ML, data analytics, or GenAI projects Demonstrated experience in requirements gathering, process analysis, and solution validation on technology programmes Prior exposure to consulting or client-facing delivery environments preferred Technical & Domain Knowledge Working understanding of AI/ML concepts: supervised/unsupervised learning, NLP, LLMs, computer vision, recommendation engines Familiarity with Generative AI tools and use cases: chatbots, document processing, content generation, code assist Ability to write and run basic SQL queries for data exploration and validation Experience with BI/analytics tools: Power BI, Tableau, or similar Understanding of cloud data platforms: Azure, AWS, or GCP (certification a plus) Knowledge of data governance, privacy (GDPR/PDPA), and AI ethics basics Soft Skills Excellent written and verbal communication — ability to simplify complex AI concepts for non-technical audiences Strong facilitation and stakeholder management skills Detail-oriented with strong analytical and problem-solving mindset Self-starter who thrives in ambiguous, fast-paced environments Education & Certifications Bachelor's degree in Engineering, Computer Science, Business, Statistics, or related field Certifications in Business Analysis (CBAP, PMI-PBA) or Agile (CSM, PSPO) are preferred AI/ML or cloud certifications (Azure AI Fundamentals, AWS Cloud Practitioner, Google AI Essentials) are a plus PREFERRED ATTRIBUTES Industry exposure in BFSI, Healthcare, Retail, or Manufacturing contexts for AI solutions Experience with LLM-based solution design: RAG pipelines, prompt engineering, agentic workflows Exposure to MLOps concepts: model versioning, drift monitoring, retraining pipelines Prior experience in a technology consulting or systems integration firm Other Requirements Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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