Job Description
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Job Title:  Senior Data Analyst
Req Id:  1252
Posting Start Date:  10/15/25

HGS is a global leader in customer experience management. With more than 18,000 employees spread across 9 countries, our mission is to make our clients more competitive by providing exceptional experiences. Powered by a people first philosophy and experience serving over 1100 of the world’s leading brands, HGS is the perfect place to build your future!
Job Description: 

Job Title: Sr Data Analyst – Intelligent Employee Experience (Bots, LLMs, Document Parsing, Automation)

Job Summary

We are seeking a skilled AI Engineer to design and implement intelligent solutions that enhance the employee experience through chatbots, large language models (LLMs), intelligent document parsing, API/email-driven integrations, and workflow automation. The role requires expertise in AI/NLP, document AI, and enterprise system automation to deliver seamless, intuitive, and personalized employee interactions.

Key Responsibilities

Conversational AI & LLM Solutions

  • Design and develop AI-powered chatbots and virtual assistants for HR, IT, and employee self-service.
  • Implement LLM-driven solutions (e.g., GPT, LLaMA, Gemini, Claude) for enterprise use cases.
  • Fine-tune and optimize NLP models for intent recognition, entity extraction, and knowledge retrieval.
  • Build RAG (Retrieval-Augmented Generation) pipelines to integrate enterprise knowledge with LLMs.

Intelligent Document Parsing & Knowledge Extraction

  • Develop document parsing pipelines for structured and unstructured content (PDF, Word, Scanned docs, Images).
  • Use OCR frameworks (Tesseract, Azure Form Recognizer, AWS Textract, Google Document AI) for digitization.
  • Implement NLP techniques for information extraction (entities, tables, key-value pairs).
  • Classify and tag documents automatically (resumes, policies, invoices, employee forms).
  • Integrate document understanding workflows with chatbots and enterprise apps.
  • Ensure parsing accuracy, scalability, and compliance with data security and privacy standards.

Employee Experience & Automation

  • Build intelligent assistants that automate HR, IT, and workplace workflows (onboarding, leave requests, expense queries, learning support).
  • Develop API-driven integrations between bots and enterprise applications (HRMS, CRM, ERP, ITSM).
  • Implement email-based automations for employee interactions (parsing emails, extracting intents, triggering workflows).
  • Personalize employee experiences with AI-driven recommendations (learning content, career growth, wellbeing).

Integration & Enterprise Systems

  • Design API integrations (REST, GraphQL, SOAP) to connect AI assistants with internal systems.
  • Build connectors for collaboration tools (MS Teams, Slack, Outlook, Gmail) to extend chatbot reach.
  • Ensure secure handling of authentication/authorization (OAuth2, SAML, JWT).
  • Collaborate with internal IT to integrate AI solutions with custom-built HR/IT applications.

Monitoring, Analytics & Improvement

  • Define KPIs for AI assistants and document parsing solutions (accuracy, adoption, resolution rate, sentiment).
  • Monitor performance and continuously improve chatbot, document parsing, and automation workflows.
  • Implement feedback loops and analytics dashboards to track usage trends.

Required Skills & Qualifications

  • Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related field.
  • 3–6 years of experience in AI/ML engineering with focus on NLP and intelligent automation.
  • Hands-on experience with LLMs (OpenAI GPT, Claude, LLaMA, Gemini, etc.).
  • Strong expertise in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face, LangChain).
  • Experience with chatbot frameworks (Rasa, Botpress, Dialogflow, MS Bot Framework).
  • Experience with document parsing & OCR frameworks (Tesseract, Azure Form Recognizer, AWS Textract, Google Document AI).
  • Strong understanding of APIs, system integrations, and Postman testing.
  • Experience with email parsing & automation (IMAP/SMTP, Microsoft Graph, Gmail API).
  • Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus) for semantic search.
  • Good understanding of enterprise security, compliance, and privacy.

Preferred Skills (Nice to Have)

  • Experience with voice assistants (speech-to-text, text-to-speech).
  • Familiarity with cloud AI platforms (Azure AI/OpenAI, AWS Bedrock, GCP Vertex AI).
  • Exposure to employee experience platforms and HR digital transformation.
  • Knowledge of data pipelines and integration patterns for enterprise systems.
  • Certifications in AI/ML, NLP, or intelligent document processing.

As an equal opportunity employer, HGS is dedicated to diversity, inclusivity and Equity. HGS does not discriminate on the basis of the race, ethnicity, religion, sex, national origin, age, veteran disability, or genetic information or any other reason prohibited by law in employment. We believe in the power of diversity to create an environment where every individual excels, and our diverse customer and colleague base is deeply understood.
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