/* GCCReady — shared data: sectors, employers, roles, mini-GCC stages */

const GR_GCC_STATS = {
  total_gccs: '1,800+',
  professionals: '2.1M',
  median_ctc: '₹9.2L',
  growth_yoy: '15%',
  cities_count: '15+',
};

const GR_SECTORS = [
  {
    slug: 'bfsi',
    label: 'Banking, Capital Markets & Insurance',
    short: 'BFSI',
    icon: 'landmark',
    blurb: 'India\'s single largest GCC employment cluster. Roles span IB ops, capital markets, risk, fin crime, FP&A, tax, treasury, internal audit, quant.',
    headline_roles: ['IB / Capital Markets Ops', 'Risk & Fin Crime', 'FP&A', 'Tax', 'Treasury', 'Internal Audit', 'Quant'],
    employers: ['jpmorganchase','goldmansachs','morganstanley','wellsfargo','bankofamerica','citi','db','hsbc','barclays','ubs','sc','blackrock','fidelity','statestreet','bnymellon','northerntrust','aig','allianz','aviva','prudentialplc','metlife'],
  },
  {
    slug: 'big-tech',
    label: 'Big Tech, SaaS & Internet',
    short: 'Big Tech & SaaS',
    icon: 'cpu',
    blurb: 'Product, engineering, design, AI/ML, GTM, customer success. India captives are core to global product roadmaps — not back-office support.',
    headline_roles: ['AI Product Mgmt', 'Data Science / Gen AI', 'Cloud / DevOps', 'CX / Support Ops', 'AI Digital Marketing'],
    employers: ['microsoft','google','amazon','meta','apple','adobe','oracle','salesforce','ibm','intel','nvidia','cisco','vmware','servicenow','atlassian','linkedin','uber','airbnb','booking','expedia'],
  },
  {
    slug: 'pharma-health',
    label: 'Pharma & Healthcare',
    short: 'Pharma & Health',
    icon: 'heart-pulse',
    blurb: 'Clinical data, pharmacovigilance, regulatory affairs, biostatistics, payor analytics. The fastest-growing GCC vertical.',
    headline_roles: ['Pharma R&D Ops', 'Clinical Data Mgmt', 'Pharmacovigilance', 'Health Analytics', 'AI for Drug Discovery'],
    employers: ['novartis','pfizer','astrazeneca','sanofi','gsk','bayer','roche','boehringer-ingelheim','lilly','unitedhealthgroup','cvshealth','evernorth'],
  },
  {
    slug: 'industrial',
    label: 'Industrial, Aerospace & Auto',
    short: 'Industrial / Aero / Auto',
    icon: 'package',
    blurb: 'Engineering R&D, embedded systems, simulation, supply chain, sustainability. The hard-engineering side of the GCC universe.',
    headline_roles: ['Engineering R&D', 'Supply Chain / Procurement', 'AI for Operations', 'ESG / Sustainability'],
    employers: ['ge','siemens','bosch','honeywell','caterpillar','abb','se','3m','cummins','boeing','airbus','mercedes-benz','bmw','volvo','continental','ford'],
  },
  {
    slug: 'consulting',
    label: 'Consulting & Professional Services',
    short: 'Consulting & Big 4',
    icon: 'scale',
    blurb: 'Big 4 GDS / GDC / AC, MBB knowledge centres, audit, tax, advisory, deal analytics. The bridge between learning and high-skill GCC roles.',
    headline_roles: ['US Audit', 'US Tax', 'Deal Advisory', 'Risk Advisory', 'AI for Audit'],
    employers: ['deloitte','ey','kpmg','pwc','mckinsey','bcg','bain'],
  },
  {
    slug: 'retail-cpg',
    label: 'Retail, CPG & QSR',
    short: 'Retail & CPG',
    icon: 'package',
    blurb: 'Pricing, merchandising, supply chain, marketing analytics, customer experience. High-volume hiring across data, ops and product.',
    headline_roles: ['Marketing Analytics', 'Supply Chain Analytics', 'CX / Support Ops', 'AI Product Mgmt'],
    employers: ['walmart','target','lowes','tesco','samsclub','ikea','mcdonalds'],
  },
  {
    slug: 'energy-telecom',
    label: 'Energy, Logistics & Telecom',
    short: 'Energy / Logistics / Telecom',
    icon: 'globe',
    blurb: 'Trading ops, network engineering, supply chain, downstream analytics. Underrated cluster with stable, deep hiring.',
    headline_roles: ['Trading Ops', 'Network Engineering', 'Supply Chain', 'Field Analytics'],
    employers: ['shell','bp','exxonmobil','slb','maersk','dhl','ericsson','nokia','qualcomm','ti'],
  },
];

const GR_EMPLOYERS = {
  // BFSI
  jpmorganchase: { name: 'JPMorgan Chase', domain: 'jpmorganchase.com', cities: ['Bengaluru','Hyderabad','Mumbai'], roles: ['IB Ops','Capital Markets','Quant','Risk','FP&A','Internal Audit','Tax'] },
  goldmansachs: { name: 'Goldman Sachs', domain: 'goldmansachs.com', cities: ['Bengaluru','Hyderabad'], roles: ['IB Ops','Strats','Risk','Engineering','Controllers'] },
  morganstanley: { name: 'Morgan Stanley', domain: 'morganstanley.com', cities: ['Mumbai','Bengaluru'], roles: ['IB Ops','Risk','Tech','Wealth Mgmt Ops'] },
  wellsfargo: { name: 'Wells Fargo', domain: 'wellsfargo.com', cities: ['Hyderabad','Bengaluru','Chennai'], roles: ['Banking Ops','Risk','Tech','Internal Audit'] },
  bankofamerica: { name: 'Bank of America', domain: 'bankofamerica.com', cities: ['Hyderabad','Chennai','Mumbai','GIFT City'], roles: ['IB Ops','Risk','Tech','Compliance'] },
  citi: { name: 'Citi', domain: 'citi.com', cities: ['Pune','Mumbai','Bengaluru','Chennai'], roles: ['IB Ops','Risk','Treasury','Tech','Tax'] },
  db: { name: 'Deutsche Bank', domain: 'db.com', cities: ['Pune','Bengaluru','Mumbai'], roles: ['IB Ops','Tech','Risk','Compliance'] },
  hsbc: { name: 'HSBC', domain: 'hsbc.com', cities: ['Hyderabad','Bengaluru','Pune'], roles: ['Banking Ops','Risk','Compliance','Tech'] },
  barclays: { name: 'Barclays', domain: 'barclays.com', cities: ['Pune','Chennai','Noida'], roles: ['IB Ops','Tech','Risk','Finance'] },
  ubs: { name: 'UBS', domain: 'ubs.com', cities: ['Pune','Hyderabad','Mumbai'], roles: ['Wealth Ops','Risk','Tech','Compliance'] },
  sc: { name: 'Standard Chartered', domain: 'sc.com', cities: ['Bengaluru','Chennai'], roles: ['Banking Ops','Tech','Risk','Compliance'] },
  blackrock: { name: 'BlackRock', domain: 'blackrock.com', cities: ['Mumbai','Gurgaon'], roles: ['Aladdin Eng','Investment Ops','Risk','Tech'] },
  fidelity: { name: 'Fidelity', domain: 'fidelity.com', cities: ['Bengaluru','Chennai'], roles: ['Investment Ops','Tech','Customer Ops'] },
  statestreet: { name: 'State Street', domain: 'statestreet.com', cities: ['Bengaluru','Hyderabad'], roles: ['Fund Accounting','Custody Ops','Tech','Risk'] },
  bnymellon: { name: 'BNY Mellon', domain: 'bnymellon.com', cities: ['Pune','Chennai'], roles: ['Custody Ops','Fund Accounting','Tech'] },
  northerntrust: { name: 'Northern Trust', domain: 'northerntrust.com', cities: ['Bengaluru','Pune'], roles: ['Investment Ops','Fund Services','Tech'] },
  aig: { name: 'AIG', domain: 'aig.com', cities: ['Bengaluru'], roles: ['Underwriting Ops','Claims','Actuarial','Tech'] },
  allianz: { name: 'Allianz', domain: 'allianz.com', cities: ['Trivandrum','Pune'], roles: ['Insurance Ops','Tech','Actuarial'] },
  aviva: { name: 'Aviva', domain: 'aviva.com', cities: ['Bengaluru','Gurgaon'], roles: ['Insurance Ops','Tech','Actuarial'] },
  prudentialplc: { name: 'Prudential', domain: 'prudentialplc.com', cities: ['Mumbai','Hyderabad'], roles: ['Insurance Ops','Actuarial','Tech'] },
  metlife: { name: 'MetLife', domain: 'metlife.com', cities: ['Noida','Pune','Jaipur'], roles: ['Insurance Ops','Actuarial','Tech'] },

  // Big Tech
  microsoft: { name: 'Microsoft', domain: 'microsoft.com', cities: ['Hyderabad','Bengaluru','Noida'], roles: ['Engineering','AI/ML','Product','Cloud Ops'] },
  google: { name: 'Google', domain: 'google.com', cities: ['Hyderabad','Bengaluru','Gurgaon'], roles: ['Engineering','AI/ML','Product','Trust & Safety'] },
  amazon: { name: 'Amazon', domain: 'amazon.com', cities: ['Hyderabad','Bengaluru','Chennai'], roles: ['Engineering','Ops','Finance Ops','Customer Service'] },
  meta: { name: 'Meta', domain: 'meta.com', cities: ['Hyderabad','Gurgaon'], roles: ['Engineering','Trust & Safety','Marketing Science'] },
  apple: { name: 'Apple', domain: 'apple.com', cities: ['Hyderabad','Bengaluru'], roles: ['Engineering','Ops','Services'] },
  adobe: { name: 'Adobe', domain: 'adobe.com', cities: ['Bengaluru','Noida'], roles: ['Engineering','Product','Design','AI/ML'] },
  oracle: { name: 'Oracle', domain: 'oracle.com', cities: ['Bengaluru','Hyderabad'], roles: ['Engineering','Cloud Ops','Consulting'] },
  salesforce: { name: 'Salesforce', domain: 'salesforce.com', cities: ['Hyderabad','Bengaluru'], roles: ['Engineering','Customer Success','Product'] },
  ibm: { name: 'IBM', domain: 'ibm.com', cities: ['Bengaluru','Pune','Kolkata'], roles: ['Engineering','Consulting','AI/ML','Cloud'] },
  intel: { name: 'Intel', domain: 'intel.com', cities: ['Bengaluru'], roles: ['Silicon Eng','Software','AI/ML'] },
  nvidia: { name: 'NVIDIA', domain: 'nvidia.com', cities: ['Bengaluru','Hyderabad','Pune'], roles: ['Silicon Eng','Software','AI/ML','CUDA'] },
  cisco: { name: 'Cisco', domain: 'cisco.com', cities: ['Bengaluru'], roles: ['Networking Eng','Security','Cloud'] },
  vmware: { name: 'VMware', domain: 'vmware.com', cities: ['Bengaluru','Pune'], roles: ['Engineering','Cloud Ops','Product'] },
  servicenow: { name: 'ServiceNow', domain: 'servicenow.com', cities: ['Hyderabad','Bengaluru'], roles: ['Engineering','Customer Success','Product'] },
  atlassian: { name: 'Atlassian', domain: 'atlassian.com', cities: ['Bengaluru'], roles: ['Engineering','Product','Design'] },
  linkedin: { name: 'LinkedIn', domain: 'linkedin.com', cities: ['Bengaluru'], roles: ['Engineering','Product','Trust & Safety'] },
  uber: { name: 'Uber', domain: 'uber.com', cities: ['Hyderabad','Bengaluru'], roles: ['Engineering','Ops','Marketplace'] },
  airbnb: { name: 'Airbnb', domain: 'airbnb.com', cities: ['Gurgaon'], roles: ['Engineering','Trust & Safety','Customer Ops'] },
  booking: { name: 'Booking.com', domain: 'booking.com', cities: ['Bengaluru'], roles: ['Engineering','Customer Service','Marketing'] },
  expedia: { name: 'Expedia', domain: 'expedia.com', cities: ['Gurgaon'], roles: ['Engineering','Marketing','Product'] },

  // Pharma & Health
  novartis: { name: 'Novartis', domain: 'novartis.com', cities: ['Hyderabad'], roles: ['Clinical Data','PV','Regulatory','Biostats'] },
  pfizer: { name: 'Pfizer', domain: 'pfizer.com', cities: ['Chennai'], roles: ['Clinical Data','PV','Regulatory','Commercial Analytics'] },
  astrazeneca: { name: 'AstraZeneca', domain: 'astrazeneca.com', cities: ['Bengaluru','Chennai'], roles: ['Clinical Data','PV','Regulatory','AI for Drug Discovery'] },
  sanofi: { name: 'Sanofi', domain: 'sanofi.com', cities: ['Hyderabad'], roles: ['Clinical Data','PV','Commercial Analytics'] },
  gsk: { name: 'GSK', domain: 'gsk.com', cities: ['Bengaluru'], roles: ['Clinical Data','PV','Regulatory'] },
  bayer: { name: 'Bayer', domain: 'bayer.com', cities: ['Bengaluru'], roles: ['Clinical','PV','Crop Sci Analytics'] },
  roche: { name: 'Roche', domain: 'roche.com', cities: ['Hyderabad','Pune'], roles: ['Clinical Data','PV','AI for Drug Discovery'] },
  'boehringer-ingelheim': { name: 'Boehringer Ingelheim', domain: 'boehringer-ingelheim.com', cities: ['Mumbai'], roles: ['Clinical Data','PV','Regulatory'] },
  lilly: { name: 'Eli Lilly', domain: 'lilly.com', cities: ['Bengaluru'], roles: ['Clinical Data','PV','Commercial Analytics'] },
  unitedhealthgroup: { name: 'UnitedHealth / Optum', domain: 'unitedhealthgroup.com', cities: ['Hyderabad','Bengaluru','Gurgaon'], roles: ['Health Analytics','Engineering','Ops','Actuarial'] },
  cvshealth: { name: 'CVS Health', domain: 'cvshealth.com', cities: ['Pune'], roles: ['Health Analytics','Engineering','Ops'] },
  evernorth: { name: 'Cigna / Evernorth', domain: 'evernorth.com', cities: ['Hyderabad','Bengaluru'], roles: ['Health Analytics','Engineering','Ops'] },

  // Industrial / Aero / Auto
  ge: { name: 'GE', domain: 'ge.com', cities: ['Bengaluru','Hyderabad'], roles: ['Engineering R&D','Supply Chain','Digital','Finance'] },
  siemens: { name: 'Siemens', domain: 'siemens.com', cities: ['Bengaluru','Pune','Gurgaon'], roles: ['Engineering','Digital','Finance Ops'] },
  bosch: { name: 'Bosch', domain: 'bosch.com', cities: ['Bengaluru','Coimbatore'], roles: ['Engineering','Embedded','Digital'] },
  honeywell: { name: 'Honeywell', domain: 'honeywell.com', cities: ['Bengaluru','Hyderabad','Madurai'], roles: ['Engineering','Embedded','Digital'] },
  caterpillar: { name: 'Caterpillar', domain: 'caterpillar.com', cities: ['Chennai','Bengaluru'], roles: ['Engineering','Supply Chain','Finance Ops'] },
  abb: { name: 'ABB', domain: 'abb.com', cities: ['Bengaluru'], roles: ['Engineering','Digital','Supply Chain'] },
  se: { name: 'Schneider Electric', domain: 'se.com', cities: ['Bengaluru'], roles: ['Engineering','Digital','Supply Chain'] },
  '3m': { name: '3M', domain: '3m.com', cities: ['Bengaluru'], roles: ['R&D','Supply Chain','Finance Ops'] },
  cummins: { name: 'Cummins', domain: 'cummins.com', cities: ['Pune'], roles: ['Engineering','Supply Chain','Digital'] },
  boeing: { name: 'Boeing', domain: 'boeing.com', cities: ['Bengaluru','Chennai'], roles: ['Aero Engineering','Supply Chain','Digital'] },
  airbus: { name: 'Airbus', domain: 'airbus.com', cities: ['Bengaluru'], roles: ['Aero Engineering','Digital','Supply Chain'] },
  'mercedes-benz': { name: 'Mercedes-Benz R&D', domain: 'mercedes-benz.com', cities: ['Bengaluru'], roles: ['Auto R&D','Embedded','Digital'] },
  bmw: { name: 'BMW Tech', domain: 'bmw.com', cities: ['Chennai'], roles: ['Auto R&D','Embedded','Digital'] },
  volvo: { name: 'Volvo', domain: 'volvo.com', cities: ['Bengaluru'], roles: ['Auto R&D','Embedded','Supply Chain'] },
  continental: { name: 'Continental', domain: 'continental.com', cities: ['Bengaluru'], roles: ['Auto R&D','Embedded','Digital'] },
  ford: { name: 'Ford GBS', domain: 'ford.com', cities: ['Chennai','Hyderabad'], roles: ['Engineering','Finance Ops','Digital'] },

  // Consulting / Big 4
  deloitte: { name: 'Deloitte USI', domain: 'deloitte.com', cities: ['Hyderabad','Bengaluru','Mumbai','Gurgaon'], roles: ['US Audit','Tax','Risk Advisory','Consulting'] },
  ey: { name: 'EY GDS', domain: 'ey.com', cities: ['Bengaluru','Chennai','Gurgaon','Trivandrum','Kochi','Hyderabad'], roles: ['Assurance','Tax','Consulting','SaT'] },
  kpmg: { name: 'KPMG GDC', domain: 'kpmg.com', cities: ['Bengaluru','Gurgaon'], roles: ['Audit','Tax','Advisory','Risk'] },
  pwc: { name: 'PwC AC', domain: 'pwc.com', cities: ['Bengaluru','Kolkata','Hyderabad'], roles: ['Audit','Tax','Consulting','Deals'] },
  mckinsey: { name: 'McKinsey Knowledge', domain: 'mckinsey.com', cities: ['Gurgaon','Bengaluru','Chennai'], roles: ['Knowledge Analyst','Solution Analyst','Research'] },
  bcg: { name: 'BCG India X', domain: 'bcg.com', cities: ['Gurgaon','Bengaluru','Mumbai','Chennai'], roles: ['Knowledge Analyst','Data Science','Research'] },
  bain: { name: 'Bain CTS', domain: 'bain.com', cities: ['Gurgaon','Bengaluru','Delhi'], roles: ['Associate','Knowledge','Advanced Analytics'] },

  // Retail / CPG
  walmart: { name: 'Walmart Global Tech', domain: 'walmart.com', cities: ['Bengaluru','Chennai'], roles: ['Engineering','Data Sci','Product','Supply Chain'] },
  target: { name: 'Target', domain: 'target.com', cities: ['Bengaluru'], roles: ['Engineering','Data Sci','Merchandising','Supply Chain'] },
  lowes: { name: "Lowe's", domain: 'lowes.com', cities: ['Bengaluru'], roles: ['Engineering','Data Sci','Marketing'] },
  tesco: { name: 'Tesco', domain: 'tesco.com', cities: ['Bengaluru'], roles: ['Engineering','Data Sci','Finance Ops'] },
  samsclub: { name: "Sam's Club", domain: 'samsclub.com', cities: ['Bengaluru'], roles: ['Engineering','Data Sci','Marketing'] },
  ikea: { name: 'IKEA', domain: 'ikea.com', cities: ['Bengaluru'], roles: ['Engineering','Supply Chain','Customer Ops'] },
  mcdonalds: { name: "McDonald's GBS", domain: 'mcdonalds.com', cities: ['Hyderabad'], roles: ['Finance Ops','Tech','Marketing'] },

  // Energy / Logistics / Telecom
  shell: { name: 'Shell', domain: 'shell.com', cities: ['Bengaluru','Chennai'], roles: ['Engineering','Trading Ops','Finance','Digital'] },
  bp: { name: 'BP', domain: 'bp.com', cities: ['Pune'], roles: ['Engineering','Finance Ops','Digital'] },
  exxonmobil: { name: 'ExxonMobil', domain: 'exxonmobil.com', cities: ['Bengaluru'], roles: ['Engineering','Finance Ops','Tech'] },
  slb: { name: 'SLB', domain: 'slb.com', cities: ['Pune'], roles: ['Engineering','Field Analytics','Tech'] },
  maersk: { name: 'Maersk', domain: 'maersk.com', cities: ['Pune','Bengaluru'], roles: ['Supply Chain','Tech','Finance Ops'] },
  dhl: { name: 'DHL', domain: 'dhl.com', cities: ['Mumbai'], roles: ['Supply Chain','Tech','Finance Ops'] },
  ericsson: { name: 'Ericsson', domain: 'ericsson.com', cities: ['Gurgaon','Bengaluru'], roles: ['Networking','5G/6G','Tech'] },
  nokia: { name: 'Nokia', domain: 'nokia.com', cities: ['Bengaluru','Chennai'], roles: ['Networking','Tech','R&D'] },
  qualcomm: { name: 'Qualcomm', domain: 'qualcomm.com', cities: ['Hyderabad','Bengaluru','Chennai'], roles: ['Silicon Eng','Software','5G'] },
  ti: { name: 'Texas Instruments', domain: 'ti.com', cities: ['Bengaluru'], roles: ['Silicon Eng','Software','Analog'] },
};

const GR_ROLES = [
  { slug:'bfs-ops', family:'BFSI', icon:'landmark', title:'IB / Capital Markets Ops',
    salary:'₹6–14 LPA', does:'Trade lifecycle, settlements, recon, regulatory reporting, KYC/AML support across asset classes.',
    tools:['Bloomberg','Aladdin','Murex','Excel','SQL','Python','Power BI'],
    certs:['CFA','FRM','CAIA','ACAMS'],
    employers:['jpmorganchase','goldmansachs','morganstanley','citi','db','hsbc','barclays','bnymellon','statestreet'],
    titles:['Trade Support Analyst','Settlements Analyst','Reference Data Analyst','Corporate Actions Analyst'],
    program:'AI for Capital Markets Ops Pod (12 weeks)' },
  { slug:'equity-research', family:'BFSI', icon:'line-chart', title:'Equity / Credit Research',
    salary:'₹8–22 LPA', does:'Build DCFs and comps, write industry primers, run sensitivity, prepare research decks for global PMs and analysts.',
    tools:['FactSet','Capital IQ','Bloomberg','Excel','PowerPoint','Power BI'],
    certs:['CFA','FMVA','CIPM'],
    employers:['goldmansachs','morganstanley','jpmorganchase','db','blackrock','fidelity','mckinsey','bcg'],
    titles:['Research Associate','Buy-side Analyst','Credit Research Analyst'],
    program:'AI Equity Research Pod (10 weeks)' },
  { slug:'risk', family:'BFSI', icon:'shield-check', title:'Market / Credit / Op Risk',
    salary:'₹7–18 LPA', does:'Model risk, Basel III/IV, IFRS 9 / CECL, stress testing, model validation, regulatory submissions.',
    tools:['SAS','Python','R','SQL',"Moody's",'Excel'],
    certs:['FRM','PRM','CFA'],
    employers:['hsbc','db','citi','barclays','wellsfargo','ubs','bankofamerica'],
    titles:['Risk Analyst','Model Validation Analyst','Stress Testing Analyst'],
    program:'AI for Risk Modelling Pod (12 weeks)' },
  { slug:'aml-kyc', family:'BFSI', icon:'shield-check', title:'AML / KYC / Financial Crime',
    salary:'₹5–14 LPA', does:'Client due diligence, sanctions screening, transaction monitoring, SAR drafting, fin-crime investigations.',
    tools:['Actimize','Quantexa','LexisNexis','SQL','Excel'],
    certs:['ACAMS','CGSS','ICA'],
    employers:['hsbc','sc','db','barclays','citi','jpmorganchase','wellsfargo'],
    titles:['KYC Analyst','AML Investigator','Sanctions Analyst'],
    program:'AI for KYC + Fin Crime Pod (10 weeks)' },
  { slug:'fa-ops', family:'Cross-industry', icon:'calculator', title:'Finance & Accounting Ops (R2R / P2P / O2C)',
    salary:'₹4–12 LPA', does:'Period close, accruals, intercompany, reconciliations, AP, AR, vendor master, customer master, journal entries.',
    tools:['SAP S/4HANA','Oracle Fusion','Workday','BlackLine','Anaplan','Excel','Power BI'],
    certs:['US CPA','US CMA','ACCA','CIMA','CA(I)'],
    employers:['amazon','walmart','target','shell','ge','siemens','ibm','deloitte','ey','kpmg','pwc'],
    titles:['R2R Analyst','P2P Analyst','O2C Analyst','GL Accountant'],
    program:'AI for F&A Ops Pod (12 weeks)' },
  { slug:'fpa', family:'Cross-industry', icon:'trending-up', title:'FP&A / Business Finance',
    salary:'₹6–18 LPA', does:'Forecasting, budgeting, variance analysis, business partnering, board decks, scenario modelling.',
    tools:['Anaplan','Hyperion','Pigment','Power BI','Excel','SQL'],
    certs:['US CMA','CFA','AFP FP&A','FMVA'],
    employers:['microsoft','amazon','walmart','jpmorganchase','mckinsey','deloitte','ge','shell','target'],
    titles:['FP&A Analyst','Business Finance Analyst','Strategic Finance Analyst'],
    program:'AI for FP&A Pod (10 weeks)' },
  { slug:'audit-sox', family:'Cross-industry', icon:'file-check', title:'Internal Audit / SOX',
    salary:'₹6–16 LPA', does:'SOX walkthroughs, ITGC testing, ops audit, compliance reviews, AuditBoard administration.',
    tools:['AuditBoard','Workiva','ACL / Galvanize','Excel','SQL'],
    certs:['CIA','CISA','US CPA'],
    employers:['deloitte','ey','kpmg','pwc','jpmorganchase','citi','walmart','ge','siemens'],
    titles:['Internal Audit Analyst','SOX Analyst','IT Audit Analyst'],
    program:'AI for Internal Audit Pod (10 weeks)' },
  { slug:'tax', family:'Cross-industry', icon:'file-text', title:'Tax (US / UK / IFRS / Pillar 2)',
    salary:'₹6–18 LPA', does:'US 1040 / 1120 / 1065, UK CT, transfer pricing, BEPS Pillar 2, indirect tax compliance, tax provisioning.',
    tools:['ONESOURCE','Corptax','GoSystem','Alteryx','Excel','Power BI'],
    certs:['EA','US CPA','ADIT','ACCA'],
    employers:['deloitte','ey','kpmg','pwc','jpmorganchase','amazon','microsoft','walmart','ge'],
    titles:['US Tax Analyst','Transfer Pricing Analyst','Indirect Tax Analyst'],
    program:'AI for Tax Tech Pod (12 weeks)' },
  { slug:'treasury', family:'Cross-industry', icon:'coins', title:'Treasury Ops',
    salary:'₹7–18 LPA', does:'Cash management, FX hedging, liquidity, intercompany funding, debt management, bank ops.',
    tools:['Kyriba','SAP TR','Bloomberg','Excel','Power BI'],
    certs:['CTP','CFA'],
    employers:['shell','bp','amazon','microsoft','jpmorganchase','ge','siemens'],
    titles:['Treasury Analyst','Liquidity Analyst','FX Operations Analyst'],
    program:'AI for Treasury Pod (8 weeks)' },
  { slug:'hr-ops', family:'Cross-industry', icon:'users', title:'HR Ops / Talent Analytics',
    salary:'₹5–14 LPA', does:'HR shared services, payroll, talent analytics, attrition modelling, comp benchmarking.',
    tools:['Workday','SuccessFactors','BambooHR','Power BI','Excel'],
    certs:['SHRM-CP','PHR','SHRM-SCP'],
    employers:['amazon','microsoft','walmart','deloitte','ibm','siemens','ge'],
    titles:['HR Ops Analyst','People Analytics Analyst','Comp & Benefits Analyst'],
    program:'AI for HR & People Analytics Pod (8 weeks)' },
  { slug:'procurement', family:'Cross-industry', icon:'package', title:'Procurement / Supply Chain',
    salary:'₹6–18 LPA', does:'Strategic sourcing, contracts, spend analytics, supplier performance, S2P workflows.',
    tools:['Ariba','Coupa','Oracle Procurement','Power BI','Tableau','Excel'],
    certs:['CIPS','CSCP','CPSM'],
    employers:['amazon','walmart','target','ge','siemens','bosch','maersk','dhl'],
    titles:['Procurement Analyst','Sourcing Specialist','Supply Chain Analyst'],
    program:'AI for Procurement & Supply Chain Pod (10 weeks)' },
  { slug:'data-analytics', family:'Cross-industry', icon:'bar-chart', title:'Data Analytics / BI',
    salary:'₹6–20 LPA', does:'Dashboards, ad-hoc analysis, KPI tracking, data storytelling, semantic modelling.',
    tools:['SQL','Power BI','Tableau','Looker','dbt','Python (pandas)','Excel'],
    certs:['Microsoft PL-300','Tableau Specialist / CA','Google DA'],
    employers:['microsoft','google','amazon','walmart','target','jpmorganchase','deloitte','mckinsey','bcg'],
    titles:['Data Analyst','BI Analyst','MIS Analyst','Insights Analyst'],
    program:'AI Data Analytics Pod (12 weeks)' },
  { slug:'data-science', family:'Big Tech / BFSI', icon:'sparkles', title:'Data Science / Gen AI',
    salary:'₹10–35 LPA', does:'Predictive modelling, NLP, RAG / agents, ML system design, model evaluation, MLOps.',
    tools:['Python','PyTorch','LangChain','Databricks','Snowflake','MLflow','HuggingFace'],
    certs:['AWS ML Specialty','Azure DP-100','Databricks ML','GCP ML Eng'],
    employers:['microsoft','google','amazon','meta','nvidia','jpmorganchase','goldmansachs','blackrock','astrazeneca','walmart'],
    titles:['Data Scientist','Applied ML Engineer','Gen AI Engineer'],
    program:'AI Data Science + Gen AI Pod (16 weeks)' },
  { slug:'ai-pm', family:'Big Tech / BFSI', icon:'rocket', title:'AI Product Management',
    salary:'₹14–40 LPA', does:'AI feature roadmaps, eval + safety, model selection, GTM for AI products, prompt + RAG strategy.',
    tools:['Jira','Mixpanel','Amplitude','Figma','LangSmith','Eval frameworks'],
    certs:['AIPMM AIPM','PMP','CSPO','Pendo Cert'],
    employers:['microsoft','google','adobe','salesforce','servicenow','jpmorganchase','blackrock','deloitte'],
    titles:['AI Product Manager','PM — ML','Sr. PM — Gen AI'],
    program:'AI Product Management Pod (12 weeks)' },
  { slug:'ai-marketing', family:'Cross-industry', icon:'trending-up', title:'AI Digital Marketing / Lifecycle',
    salary:'₹6–22 LPA', does:'Performance, SEO, lifecycle, Gen AI content, marketing analytics, paid + owned + earned mix.',
    tools:['GA4','GTM','Google Ads','Meta Ads','HubSpot','Marketo','Salesforce MC','Gen AI'],
    certs:['Google Ads','Meta Blueprint','HubSpot','SEMrush'],
    employers:['microsoft','google','adobe','amazon','salesforce','walmart','target','expedia','booking'],
    titles:['Performance Marketing Analyst','Lifecycle Marketing Analyst','Marketing Analytics Lead'],
    program:'AI Digital Marketing Pod (10 weeks)' },
  { slug:'cx-support', family:'Cross-industry', icon:'users', title:'CX / Support Ops + AI',
    salary:'₹4–12 LPA', does:'L1/L2 support, bot tuning, deflection design, voice / chat ops, queue analytics.',
    tools:['Zendesk','Salesforce Service','Intercom','NICE','Genesys'],
    certs:['Salesforce Admin','Zendesk','ITIL'],
    employers:['amazon','microsoft','salesforce','servicenow','airbnb','booking','expedia','uber'],
    titles:['Customer Success Analyst','Support Ops Analyst','Bot Trainer'],
    program:'AI CX / Support Ops Pod (8 weeks)' },
  { slug:'pharma-rnd', family:'Pharma & Health', icon:'heart-pulse', title:'Pharma R&D / Clinical Ops',
    salary:'₹6–22 LPA', does:'Clinical data management, pharmacovigilance, regulatory affairs, biostatistics, real-world evidence.',
    tools:['SAS','R','Veeva','Argus Safety','Medidata Rave','CDISC SDTM/ADaM'],
    certs:['SOCRA CCRA','ACRP CCRC','RAC','CDM'],
    employers:['novartis','pfizer','astrazeneca','sanofi','gsk','bayer','roche','lilly','unitedhealthgroup'],
    titles:['Clinical Data Manager','PV Associate','Regulatory Affairs Specialist','Biostatistician'],
    program:'AI for Clinical Ops Pod (14 weeks)' },
  { slug:'engineering-rnd', family:'Industrial / Aero / Auto', icon:'cpu', title:'Engineering R&D',
    salary:'₹6–18 LPA', does:'Mechanical design, simulation, embedded systems, ASPICE, AUTOSAR, V-cycle development.',
    tools:['CATIA','ANSYS','MATLAB','Simulink','AUTOSAR','GitLab'],
    certs:['PMP','Six Sigma BB','Autodesk'],
    employers:['ge','siemens','bosch','honeywell','boeing','airbus','mercedes-benz','bmw','volvo','continental'],
    titles:['Design Engineer','Embedded Engineer','Simulation Engineer'],
    program:'AI for Engineering R&D Pod (12 weeks)' },
  { slug:'cybersecurity', family:'Cross-industry', icon:'shield-check', title:'Cybersecurity (SOC + GRC)',
    salary:'₹7–25 LPA', does:'SIEM monitoring, incident response, threat hunting, IAM, GRC, audit support.',
    tools:['Splunk','Sentinel','CrowdStrike','OneTrust','ServiceNow GRC'],
    certs:['CISSP','CISA','CISM','CEH','CompTIA Security+'],
    employers:['microsoft','jpmorganchase','citi','db','deloitte','ey','kpmg','pwc','cisco'],
    titles:['SOC Analyst','GRC Analyst','IAM Analyst','Threat Hunter'],
    program:'AI for Cybersecurity Pod (12 weeks)' },
  { slug:'cloud-devops', family:'Big Tech', icon:'cpu', title:'Cloud / DevOps / SRE / FinOps',
    salary:'₹8–28 LPA', does:'Platform engineering, IaC, observability, incident response, FinOps optimization.',
    tools:['AWS','Azure','GCP','Terraform','Kubernetes','Datadog','Grafana'],
    certs:['AWS SAA','Azure AZ-104','GCP ACE','CKA','FinOps Foundation'],
    employers:['microsoft','amazon','google','jpmorganchase','goldmansachs','walmart','salesforce','servicenow'],
    titles:['DevOps Engineer','SRE','FinOps Analyst','Platform Engineer'],
    program:'AI for Cloud / DevOps Pod (12 weeks)' },
  { slug:'pmo', family:'Cross-industry', icon:'layers', title:'Program / Project Management (PMO)',
    salary:'₹8–22 LPA', does:'Agile delivery, governance, milestone tracking, dependency mgmt, stakeholder mgmt.',
    tools:['Jira','Confluence','MS Project','ServiceNow PPM'],
    certs:['PMP','PRINCE2','CSM','SAFe'],
    employers:['ibm','deloitte','ey','siemens','ge','microsoft'],
    titles:['Project Manager','Scrum Master','Program Manager'],
    program:'AI for Program Mgmt Pod (8 weeks)' },
  { slug:'legal-ops', family:'Cross-industry', icon:'scale', title:'Legal Ops / Contract Lifecycle',
    salary:'₹6–18 LPA', does:'Contract authoring, CLM administration, eDiscovery, paralegal review, compliance.',
    tools:['Ironclad','DocuSign CLM','Relativity','LexisNexis'],
    certs:['Paralegal Cert','ICA','NALA'],
    employers:['deloitte','ey','kpmg','pwc','jpmorganchase','microsoft','amazon'],
    titles:['Contract Analyst','Legal Ops Analyst','Paralegal'],
    program:'AI for Legal Ops Pod (10 weeks)' },
];

const GR_MINIGCC_STAGES = [
  { id:1, label:'Pilot', size:'1–5 FTEs', timeline:'0–6 weeks', route:'EOR (Employer of Record)',
    why:'Test the thesis fast. No India entity, no FEMA, no payroll setup. Live in ~2–3 weeks.',
    deliver:[
      'Pre-vetted GCCReady-certified pod (Analyst / FinOps / Marketing / Dev)',
      'EOR contract via leading partners (introductions on enquiry)',
      'Onboarding kit + AI tooling baseline (Copilot / ChatGPT Enterprise / Notion AI)',
      'Weekly KPI dashboard + delivery checkpoint',
    ],
    decision:'Choose this if your headcount intent is < 5, you want speed, and you\'re still validating function-fit.',
    pricing:'Per-FTE / month + one-time setup' },
  { id:2, label:'Scale', size:'5–20 FTEs', timeline:'2–9 months', route:'EOR continued, or Branch / Liaison Office',
    why:'You\'ve proven the function. Now you need second-line hires (TL / Manager) and operational depth.',
    deliver:[
      'Org design + role pods (sector- and function-specific)',
      'India-side ops lead + recruiter pipeline',
      'EOR-vs-own-entity TCO modelling (we\'ll show breakeven)',
      'ESOP framework, comp benchmarking, retention design',
    ],
    decision:'Choose this if your headcount target by month 12 is 10+ and you want a real management layer.',
    pricing:'Per-FTE / month + manager retainer' },
  { id:3, label:'Own Entity', size:'20+ FTEs', timeline:'9–18 months', route:'Pvt Ltd subsidiary (or LLP) — STPI / SEZ / GIFT City',
    why:'TCO crosses over. Owning the entity gives IP control, transfer pricing benefits, and full HR / brand control.',
    deliver:[
      'Incorporation + FEMA / RBI filings + GST / DSIR registrations',
      'Transfer pricing study + SEZ / STPI / GIFT City benefit analysis',
      'IT / data infra, payroll vendor, finance close stack',
      'Talent pipeline at scale + L&D academy (GCCReady)',
      'Long-term partner stack (CA firm, corp sec, employment counsel)',
    ],
    decision:'Choose this if you\'re committing to a long-term India presence with full IP, HR, and brand control.',
    pricing:'Project-based + retainer; success-linked components available' },
];

// Logo URL with multi-source fallback (uplead → gstatic favicon → text)
function grLogoUrl(domain, size = 128) {
  return `https://logo.uplead.com/${domain}`;
}
function grLogoFallback(domain, size = 128) {
  return `https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://${domain}&size=${size}`;
}

Object.assign(window, { GR_GCC_STATS, GR_SECTORS, GR_EMPLOYERS, GR_ROLES, GR_MINIGCC_STAGES, grLogoUrl, grLogoFallback });