Sberbank

Let me start working on the Sberbank analysis. Sberbank is one of Russia's largest banks, so I'm expecting this to be an Enterprise-level organization (50,000+ employees).

Let me begin with parallel searches to gather context about:

1. Sberbank's total headcount
2. Organizational structure
3. Major divisions/departments
4. Recent organizational changes

I should start with broad searches to get a sense of the company size and structure, then narrow down based on what I find.

According to my guidelines:

• I need to make varied parallel queries
• I should batch searches together
• IMPORTANT: I must call the think tool after each batch of web searches
• I cannot mix web_search with other tools in the same parallel call
• I should aim for <30 total searches

Let me start with broad context searches.

Let me synthesize what I've learned from these searches:

KEY FINDINGS:

1. Headcount: Most recent reliable data shows Sberbank had approximately 211,000 employees in 2023 (Russia operations). Historical data: 287,866 in 2021, declining due to digital transformation. Various sources cite 210-287K range.

2. Headquarters: Moscow, Russia (19 ul. Vavilova)

3. Company Size: This is clearly an ENTERPRISE organization (50,000+ employees), which means I need:

   • L0-L5 hierarchy
   • 100-200 nodes minimum
   • 6-10 major divisions at L1

4. Organizational Structure (from searches):

   • Three main business lines: Retail Banking, Corporate Banking, Investment Banking
   • Regional structure: 17 territorial banks across Russia
   • Digital/Ecosystem services: Major push into technology - SberTech subsidiary, ecosystem services (Okko cinema, SberMarket, Citymobil taxi, etc.)
   • Support functions: IT, Operations, Administration, Finance, HR, Risk Management
   • Branch network: ~14,000-16,500 branches/offices across Russia

5. Strategic Context:

   • Massive digital transformation underway (accounts for workforce reduction)
   • Transformation from bank to tech ecosystem "Sber"
   • Heavy investment in AI, cloud computing, software development
   • Lost European operations in 2022 due to sanctions (Sberbank Europe became insolvent)
   • Focus now primarily on Russia and CIS

6. Technology focus:

   • Large IT development teams (1,500+ developers on some platforms)
   • SberTech subsidiary (1,000-5,000 employees per LinkedIn)
   • AI, cloud platforms, digital banking
   • Plans to expand Indian IT team to 500+

HEADCOUNT DISTRIBUTION ESTIMATE (211,000 total for 2023): Based on typical large universal bank structures and the digital transformation context:

• Retail Banking: ~70,000 (33%) - Branch staff, customer service, sales
• Corporate & Investment Banking: ~25,000 (12%) - Relationship managers, credit analysts, traders
• Technology & Digital: ~35,000 (17%) - IT development, operations, cybersecurity, data
• Operations & Support: ~40,000 (19%) - Back office, processing, settlements, operations
• Risk & Compliance: ~12,000 (6%) - Credit risk, market risk, compliance, audit
• Finance & Treasury: ~8,000 (4%) - Accounting, financial planning, treasury
• HR & Administration: ~10,000 (5%) - Human resources, facilities, admin
• Regional Management: ~6,000 (3%) - 17 territorial bank management
• Executive & Strategy: ~5,000 (2%) - C-suite, strategy, transformation

WHAT I NEED TO DO NEXT: I should do a few more targeted searches to:

1. Get more specific information about Sberbank's organizational structure post-2020 rebranding
2. Understand the specific divisions and their functions
3. Get more detail on the technology organization
4. Understand regional bank structure

Then I can build the detailed hierarchy and map to ONET codes.

Good, I have comprehensive information. Let me consolidate everything and plan the final structure:

CONFIRMED DETAILS:

• Total Headcount: 211,000 (2023 Russia operations) - most reliable figure from Statista
• HQ: Moscow, Russia
• Size Tier: ENTERPRISE (50,000+)
• Required: L0-L5 hierarchy, 100-200 nodes

ORGANIZATIONAL STRUCTURE (confirmed from searches):

L0: Executive Leadership

• CEO (Herman Gref) + C-suite

L1: Major Business Divisions (6-8 divisions typical for enterprise):

1. Retail Banking
2. Corporate & Investment Banking
3. Technology & Digital Innovation
4. Operations & Transaction Processing
5. Risk Management
6. Finance & Treasury
7. Human Resources & Corporate Services
8. Regional Banking Network (17 territorial banks)

L2-L4 breakdown for each division:

1. RETAIL BANKING (~70,000 - 33%)

• Branch Banking Network (~40,000)
  • Regional branch operations
  • Customer service representatives (43-4051.00)
  • Tellers (43-3071.00)
  • Retail salespersons (41-2031.00)
  • Branch managers (11-1021.00)
• Retail Credit & Lending (~15,000)
  • Loan officers (13-2072.00)
  • Credit analysts (13-2041.00)
• Retail Products & Services (~10,000)
  • Personal bankers
  • Wealth management advisors (13-2052.00)
• Digital Retail Channel (~5,000)
  • Digital product managers
  • Mobile banking specialists

2. CORPORATE & INVESTMENT BANKING (~25,000 - 12%)

• Corporate Banking (~12,000)
  • Relationship managers (13-2051.00)
  • Credit underwriters
• Investment Banking (~5,000)
  • Financial analysts (13-2051.00)
  • Traders (41-3031.03)
• Treasury & Capital Markets (~5,000)
  • Treasurers (11-3031.01)
• Trade Finance (~3,000)

3. TECHNOLOGY & DIGITAL INNOVATION (~35,000 - 17%)

• IT Development (~15,000)
  • Software developers (15-1252.00)
  • Database administrators (15-1141.00)
• SberTech/Platform (~10,000)
  • Cloud engineers
  • DevOps
• Cybersecurity (~3,000)
  • Information security analysts (15-1122.00)
• Digital Ecosystem Services (~7,000)
  • E-commerce, AI, ecosystem products

4. OPERATIONS & TRANSACTION PROCESSING (~40,000 - 19%)

• Transaction Processing (~20,000)
  • Processing clerks
  • Operations specialists
• Customer Operations (~15,000)
  • Call center representatives (43-4051.00)
  • Back office support
• Settlements & Clearing (~5,000)

5. RISK MANAGEMENT (~12,000 - 6%)

• Credit Risk (~5,000)
  • Credit risk analysts (13-2099.02)
• Market & Liquidity Risk (~3,000)
  • Risk management specialists (13-2099.02)
• Operational Risk (~2,000)
• Compliance (~2,000)
  • Compliance officers (13-1041.07)

6. FINANCE & TREASURY (~8,000 - 4%)

• Financial Planning & Analysis (~3,000)
  • Financial analysts (13-2051.00)
  • Budget analysts (13-2031.00)
• Accounting (~4,000)
  • Accountants (13-2011.01)
  • Auditors (13-2011.02)
• Treasury Operations (~1,000)

7. HUMAN RESOURCES & CORPORATE SERVICES (~10,000 - 5%)

• HR Operations (~5,000)
  • HR specialists (13-1071.00)
  • Recruiters
• Training & Development (~2,000)
  • Training specialists (13-1151.00)
• Facilities & Admin (~3,000)
  • Administrative services managers (11-3011.00)

8. REGIONAL BANKING NETWORK (~6,000 - 3%)

• 17 Territorial Bank Management
  • Regional directors
  • Regional operations heads

STRATEGY: I'll create a detailed 5-level hierarchy with approximately 120-150 nodes, mapping specific ONET codes to leaf nodes with headcount estimates at each level. This follows the ENTERPRISE template requiring 100-200 nodes and 6-10 L1 divisions.