{"id":3780586,"url":"https://alion.io/job/hcltech-senior-process-manager-4","title":"Senior Process Manager","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BPMN","optional":false},{"name":"Claude","optional":false},{"name":"Confluence","optional":false},{"name":"Embeddings","optional":false},{"name":"EU AI Act","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GPT-4","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Jira","optional":false},{"name":"Llama","optional":false},{"name":"Miro","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"NLP","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T00:45:03Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T07:34:56Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nWe are seeking an astute, forward-thinking Senior Business Analyst specializing in Generative AI (GenAI BA) with 6+ years of comprehensive business analysis experience to drive our enterprise cognitive solutions roadmap. In this high-visibility role, you will act as the pivotal bridge translating ambiguous executive business goals into actionable, production-ready AI capabilities.\nYou will partner closely with business leaders, domain Subject Matter Experts (SMEs), and technical AI engineering teams (GenAI Architects, Data Scientists, and Full-Stack ML Engineers) to discover high-value use cases, formulate detailed functional requirements for Retrieval-Augmented Generation (RAG) applications, define prompt strategies, establish benchmark evaluation rubrics, and orchestrate seamless User Acceptance Testing (UAT).\nKey Responsibilities\nC. Knowledge Base & Prompt Strategy Scoping\nKnowledge Base Curation: Collaborate with business SMEs and data engineers to identify, catalog, and curate internal enterprise knowledge bases, documents, and taxonomies for RAG indexing.\nRAG Data Structuring: Specify document chunking logic, metadata filtering schemas, and taxonomy tags to maximize semantic vector search retrieval accuracy.\nPrompt Specification: Define foundational prompt requirements: system instructions, tone-of-voice guidelines, persona parameters, few-shot examples, and output formatting templates.\nGuardrails & Ethics: Identify and document guardrail rules for PII/PHI redaction, copyright protection, brand safety, and hallucination containment.\nD. AI Evaluation, UAT & Quality Benchmarking\nGround-Truth Dataset Design: Construct comprehensive ground-truth test datasets containing representative real-world user queries, multi-turn dialogues, and complex edge cases.\nEvaluation Frameworks: Establish objective evaluation rubrics across core GenAI metrics: answer faithfulness, contextual relevance, answer completeness, tone alignment, and toxicity.\n UAT Execution: Orchestrate User Acceptance Testing (UAT) with business stakeholders; track, triage, and analyze model errors, hallucinations, and user feedback.\nIterative Refinement: Conduct ongoing prompt iterations and parameter tuning alongside prompt engineers to continually refine response fidelity.\nE. Stakeholder Enablement & Change Management\nCross-Functional Liaison: Serve as the primary GenAI evangelist, bridging the communication divide between non-technical stakeholders and deep technical AI engineers.\nUser Enablement & Training: Design training materials, playbooks, and prompt guides to accelerate internal end-user adoption and minimize prompt friction.\n Post-Launch Analytics: Monitor post-deployment analytics (user engagement, thumbs up/down feedback, deflection rates) to propose backlog enhancements.\nA. AI Use Case Discovery & Feasibility Analysis\nOpportunity Identification: Lead discovery workshops with enterprise stakeholders to uncover workflow bottlenecks and evaluate potential GenAI automation opportunities.\nFeasibility & Solution Fit: Perform structured feasibility assessments comparing Generative AI / Foundation Models against traditional deterministic automation, rules engines, or predictive ML.\n ROI & Business Case Modeling: Develop comprehensive business cases, quantifying business impact, cost-benefit analyses, token expenditure estimates, and projected Return on Investment (ROI).\n Roadmap & Prioritization: Formulate Minimum Viable Product (MVP) roadmaps, prioritizing use cases based on business value, technical readiness, and risk tolerance.\nB. Requirements Engineering for Probabilistic & AI Systems\n Functional Documentation: Author robust Business Requirement Documents (BRDs), Functional Specification Documents (FSDs), and Process Flow Diagrams (BPMN) for AI applications.\nAgile User Stories: Draft granular Agile User Stories with explicit 'Given-When-Then' acceptance criteria specifically tailored to probabilistic AI behavior.\n Edge Cases & Fallbacks: Define system boundary specifications: intent classification thresholds, fallback mechanisms, out-of-domain query handling, and human-in-the-loop (HITL) escalation triggers.\n NFR Specification: Document Non-Functional Requirements (NFRs) including response latency thresholds, token rate limits, concurrency targets, and data residency constraints.\nSkill Requirements\nTotal Experience: Minimum 6+ years of professional IT Business Analysis experience, with at least 2+ years dedicated to AI/ML, NLP, Conversational AI, or GenAI products.\nEducation: Bachelor’s degree in Computer Science, Information Systems, Business Administration, Data Analytics, or related discipline.\n GenAI Domain Literacy: Solid conceptual grasp of Foundation Models (GPT-4, Claude, Gemini, Llama), RAG architectures, vector embeddings, semantic search, and agentic workflows.\n Agile & BA Tooling: Proficiency in Agile/Scrum delivery methodologies; expert administrator in Jira, Confluence, and process modeling tools (Visio, Miro, Lucidchart).\nData & Querying Skills: Working proficiency with SQL for querying relational databases, validating test datasets, and analyzing feature performance.\nExperience Design: Experience defining user personas, customer journey maps, wireframes, and conversation dialogue trees for chatbots / AI assistants.\nCommunication: Outstanding executive presence, presentation prowess, and technical writing skills with a knack for simplifying complex AI concepts\nOther Requirements\n4. Preferred Certifications & Domain Knowledge\n Business Analysis Credentials: Certified Business Analysis Professional (CBAP), PMI Professional in Business Analysis (PMI-PBA), or Certified Scrum Product Owner (CSPO).\n Cloud & AI Credentials: AWS Certified AI Practitioner, Microsoft Certified: Azure AI Fundamentals (AI-900), or Azure AI Engineer Associate.\nIndustry Verticals: Domain experience in highly regulated verticals: Banking & Financial Services, Insurance, Healthcare, Life Sciences, or Legal Tech.\n Regulatory Frameworks: Familiarity with enterprise AI governance frameworks (EU AI Act, NIST AI RMF, Responsible AI guidelines).\n5. Key Performance Indicators (KPIs) & Success Metrics\nThe performance and effectiveness of the GenAI Business Analyst will be evaluated on the following key metrics:\n1. User Adoption: Active User Adoption Rate: Driving ≥80% sustained end-user adoption and engagement for newly deployed GenAI capabilities.\n2. Requirement Precision: Requirements Quality & Sprint Velocity: Maintaining requirement churn and sprint rework below 10% through precise acceptance criteria.\n3. Delivery Velocity: Time-to-Value Delivery: Accelerating use case progression from initial discovery through PoC and pilot deployment within 6-8 weeks.\n4. Quality & Faithfulness: AI Accuracy & Deflection Benchmark: Achieving ≥90% response faithfulness and acceptable UAT sign-off prior to production cutover.\n5. Measurable ROI: Business Value Realization: Demonstrating quantifiable time savings, cost reductions, or revenue lift documented in post-launch reviews.\n6. Candidate Evaluation Matrix (For Hiring Panels)\nInterview panels should evaluate candidates across the following five core capability dimensions:\n\nEvaluation Area\n\nCompetency Focus\n\nKey Interview Signals\n\nGenAI Problem Framing & Feasibility\n\nDistinguishing high-ROI GenAI use cases from non-AI automation\n\nDemonstrates clear logic on when to use RAG vs. fine-tuning vs. deterministic scripts; calculates token cost implications and business feasibility.\n\nAI Requirements & Edge Case Definition\n\nHandling non-deterministic outputs, fallbacks, and user stories\n\nArticulates how to write acceptance criteria for probabilistic outputs; details clear escalation paths for low-confidence answers and hallucination traps.\n\nRAG Knowledge Structuring & Prompting\n\nCuration of unstructured data, metadata tags, and prompt specs\n\nExplains how chunk size, document hierarchy, and metadata schemas impact retrieval accuracy; writes clear few-shot system prompts.\n\nTesting, UAT & Evaluation Rubrics\n\nBenchmarking faithfulness, relevance, and ground-truth validation\n\nDetails methodology for curating golden test datasets; explains how to grade AI outputs objectively with business SMEs during UAT.\n\nStakeholder Translation & Influence\n\nDe-hyping GenAI, managing expectations, and change enablement\n\nProven ability to bridge executive hype with technical reality; shares examples of overcoming end-user skepticism and driving adoption.","description_format":"text","description_chars":8480,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Professional Services","Science & Engineering","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-11-05T00:45:03Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":2,"expected_fill_days":28,"reasons":["conf:3","wave","velocity","win:early","comp:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-senior-process-manager-4","json_url":"https://alion.io/job/hcltech-senior-process-manager-4.json","meta":{"generated_at":"2026-11-07T12:15:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13479,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-senior-process-manager-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhcltech-senior-process-manager-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhcltech-senior-process-manager-4"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/hcltech-senior-process-manager-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-senior-process-manager-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3780586}},{"tool":"search_jobs","arguments":{"company":"hcltech.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3780586},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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