{"id":1514408,"url":"https://alion.io/job/lumax-world-head-data-ai-coe","title":"Head - Data & AI CoE","company":{"id":3843443,"name":"Lumax World","domain":"lumaxmail.com","url":"https://alion.io/company/lumax-world","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":136000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Feature Store","optional":false},{"name":"GDPR","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Llama","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"SLI/SLO/SLA","optional":false}],"status":"live","first_seen_at":"2026-09-30T06:25:08Z","employer_posted_date":null,"last_verified_at":"2026-09-30T06:25:08Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"1. CoE & Operating Model:\n\n- Design and operationalize the CoE: charter, federated model (central platform + BU pods), talent architecture, multiyear roadmap across all entities.\n\n- Own the Data & AI product portfolio: prioritized by business impact x feasibility, tracked with documented ROI for each BU.\n\n- Establish CoE KPIs: models in production, time-to-insight, cost avoidance, revenue impact, AI literacy index, and data trust score.\n\n- Introduce data product thinking: treat datasets as products with owners, SLAs, consumers, and version control, not as outputs of one-off projects.\n\n2. Data Platform & Architecture:\n\n- Group-level data Lakehouse: real-time OT ingestion from 42-plant MES/SCADA/PLCs; unified data mesh across BU domains.\n\n- SAP S/4HANA MDM, metadata cataloguing, data quality governance across all entities.\n\n- MLOps / LLMOps infrastructure: model registry, CI/CD for ML, drift monitoring, RAG architecture standards, hallucination guardrails for manufacturing-critical applications.\n\n- GenAI architecture decision: Azure OpenAI vs. open-weight LLMs (Llama/Mistral) vs. on-premise for IP-sensitive manufacturing data.\n\n- Self-serve analytics enablement: build the platform and semantic layer that allows BU business users to answer their own data questions without engineering dependency.\n\n3. Data Observability & Data Trust:\n\n- Own data observability as a first-class function not a monitoring afterthought. Establish Lumax's data observability programme covering the five pillars: freshness, volume, schema, distribution, and lineage across all pipelines and BU data products.\n\n- Define and enforce data SLAs and data contracts between producers and consumers; any dataset serving a plant decision or board dashboard must carry an explicit data contract.\n\n- Implement tooling for automated anomaly detection, root cause analysis, and mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR) measurement across data pipelines targeting industry-leading MTTD of minutes, not days.\n\n- Build a data trust score framework: every data asset in the Lumax ecosystem is assigned a trust score visible to all consumers, covering completeness, freshness, lineage depth, and SLA adherence.\n\n- Govern data lineage end-to-end: from MES sensor at plant floor to GMD dashboard; every transformation, join, and aggregation documented and auditable; critical for DPDP Act compliance and OEM/JV audit readiness.\n\n- Evaluate and recommend best-fit observability tooling: Monte Carlo.\n\n4. MLOps, LLMOps and AI Engineering:\n\n- End-to-end MLOps: feature stores, model versioning (MLflow), A/B testing, production SLAs by risk tier (plantsafety models: Tier 1 highest rigor; internal productivity tools: Tier 4 lightweight).\n\n- LLMOps: prompt governance, RAG standards, hallucination monitoring, human-in-the-loop for manufacturing-critical model outputs.\n\n- Model cards and AI audit trails for every production model covering training data provenance, performance benchmarks, known failure modes, and approved use contexts.\n\n5. Data Governance and Responsible AI:\n\n- Enterprise data governance framework: ownership, stewardship, lineage, data contracts, and data quality SLAs across all entities.\n\n- AI Ethics Charter: DPDP Act (India) + GDPR (JV data flows) compliance; AI risk tier classification Tier 1 - 4.\n\n- Data access control and privacy engineering: column-level security, dynamic data masking for PII, and purpose-bound data access aligned to DPDP Act 2023.\n\n- Experimentation culture: institutionalize fast-fail as learning; documented retrospectives, cross-BU re-use of findings; psychological safety is a formal leadership KPI, not a cultural aspiration.\n\n6. Talent, culture & AI literacy:\n\n- Build CoE team: Data Scientists, ML/AI Engineers, Data Engineers, MLOps Engineers, Data Observability Engineers, Analytics Translators, BI Developers + BU data liaisons.\n\n- Lumax Intelligence Brief: AI literacy roadmap for 10,000+ employees, differentiated by persona (plant operator - C-suite).\n\n- CoE talent brand: MNC/Big Tech lateral hires; structured data career pathways.\n\n- Establish data engineering culture benchmarks adapted to Lumax's manufacturing-first context.\n\n7. Stakeholder Partnership and Value:\n\n- Trusted partner to all BU CEOs, 42 plant heads, 10 JV leads. Every AI initiative carries a business case and benefits realisation plan per BU.\n\n- Automotive value chain intelligence: build data products that serve not just Lumax's internal operations but generate insights across the OEM-Tier1-supplier value chain including OEM demand signals (Maruti, Honda, Tata, BMW India supply chain), JV performance analytics, and aftermarket channel intelligence.\n\n- OEM relationship data advantage: own the data strategy that makes Lumax the most analytically transparent and predictive Tier-1 partner for OEM customers.\n\n- External representation: industry bodies, automotive AI councils, CII/ACMA data forums, Tier-1 thought leadership.\nSkills\nData Science, Artificial Intelligence, Data Analytics, Data Governance, Data Management, Digital Transformation, AI Transformation, Analytics Head, Analytics","description_format":"text","description_chars":5124,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-30T09:00:06Z"}],"visa":[],"liveness":{"score":74,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.827,"p_room":0.9,"age_days":12,"expected_fill_days":25,"reasons":["seen:12","win:mid"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/lumax-world-head-data-ai-coe","json_url":"https://alion.io/job/lumax-world-head-data-ai-coe.json","meta":{"generated_at":"2026-10-12T22:20:14Z","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":36518,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":3843443},"rest":"https://alion.io/mcp/rest/get_company?id=3843443"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flumax-world-head-data-ai-coe"},{"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%2Flumax-world-head-data-ai-coe"},{"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%2Flumax-world-head-data-ai-coe"},{"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/lumax-world-head-data-ai-coe\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flumax-world-head-data-ai-coe"}]}