EXECUTIVE PROFILE2026
Role
CIO / CPO
Scale
50+ systems · ~500 engineers
Context
GovTech · FinTech · Enterprise
CIO · TECHNICAL STRATEGY · PLATFORM LEADERSHIP

Igor
Khan

I build IT as a system,
not a portfolio of projects.

Igor Khan speaking on stage
Igor Khan

I connect technology strategy, architecture, product and operations — building a predictable software delivery system at the scale of large companies and regulated industries.

Moscow 10+ years in IT 01 / 08
50+

state IT systems
owned end to end

~500

engineers across the
external delivery network

100+

people in the largest
product organisation

−35%

critical incidents after
systemic changes

From strategy —
to a platform that works.

Management decisions are validated not by slide decks, but by delivery quality, system resilience and business outcomes.

01

Technology
strategy

Architecture principles, a technology roadmap and standards that hold up as the scale grows.

  • Target architecture and technology roadmap
  • Initiative portfolio, budget and priorities
  • Common standards and architecture decisions
02

Teams
and partners

One set of rules for internal teams and vendors, clear accountability and measurable quality.

  • Hybrid model of in-house and external development
  • Quality gates and acceptance checkpoints
  • Engineering culture and leadership development
03

Delivery
and operations

CI/CD, IaC, observability and release management — one chain from idea to production.

  • CI/CD, IaC, Kubernetes and quality gates
  • SLO/SLI, monitoring and centralised logging
  • Releases, incidents and continuous improvement

From an executive decision —
to operational metrics.

I build a single management loop in which strategy, architecture, engineering and operations work towards shared goals and measurable outcomes.

The core principle is end-to-end accountability: every architecture decision is tied to a business metric, to delivery quality and to the cost of operations.

01

Strategy and portfolio

Goals, roadmap, prioritisation, budget and a metrics system in one management cycle.

02

Enterprise architecture

Platform principles, integrations, data and technology standards at organisational scale.

03

Engineering & Delivery

A predictable delivery pipeline, automation, quality gates and common rules for every team.

04

Reliability and compliance

Observability, SLO/SLI, incident management, security and work in a regulated environment.

05

People and ecosystem

Organisation design, leadership development, vendor management and a transparent accountability model.

SYSTEMIC CHANGE

Complexity becomes
manageable.

02VimpelCom IT

Product growth without cost growth.

Rebuilt UX and the product offering catalogue for the internal platforms of a large technology company.

+300%year-over-year
product consumption
−20%operating costs with
no quality loss
03Sber

A digital platform from scratch.

Partner portal, analytics, EDI, SberID, storefront and pricing system in a single product.

500Kdaily
active users
40+people across three
product teams

BUILT AND SCALED

Systems that run inside a large business.

01

Partner platform

Partner portal, analytics, EDI, SberID, storefront and pricing system.

02

SbolProWEB

Migration of a mobile sales workplace to the web — more than 50 unique service methods.

03

Product catalogue

New UX and more than 1,700 product offers for an internal platform.

04

Data and analytics

Data warehouse, BI, end-to-end analytics and big-data solutions.

05

B2B services

Partner portal, SSO, CRM, loyalty programme and electronic document exchange.

06

Engineering platform

Common code standards, CI/CD, IaC and observability for dozens of teams.

FROM POLICY TO PRODUCTION

AI is not a separate chat.
It is a new operating model.

I design AI adoption at the level of the organisation: connecting rules, architecture, engineering processes and practical use cases into one governed system.

01GOVERNANCE

Policies, regulations and methodologies

I define the rules for safe and effective use of generative AI: roles and accountability, permitted use cases, data requirements, quality control and human-in-the-loop.

02ARCHITECTURE

Architecture for large-scale AI adoption

I shape the target architecture — from models and enterprise context to integrations, the agent layer, security, observability and production operations.

03AI DELIVERY

AI-enabled delivery pipelines

I build an AI-assisted SDLC: decomposition and specifications, code generation and review, testing, documentation and human checkpoints — with measurable impact on delivery.

HANDS-ON EXPERIENCE

From team maturity assessment to working AI use cases.

I have run diagnostics of AI adoption and its barriers, shaped a training programme, prepared an industry AI meetup and built applied tools: analytical reports, dashboards, documents and automated workflows.

Generative AI & LLMAI AgentsAI Governance AI-assisted SDLCPrompt & Context Engineering Human-in-the-loopProcess Automation PythonData AnalyticsAPI & Integrations

Technology, product
and leadership.

A career path from product analytics and project management to ownership of IT strategy and the platform perimeter.

2025 — present
Government of Moscow · public sector

CIO / Head of IT

50+ engineers
50+ systems · 5 products
2023 — 2025
VimpelCom IT

Chief Product Officer

Billing & Internal Platforms
team of 100+
2021 — 2023
Sber

Chief Product Officer

Partner platforms
3 product teams
2019 — 2021
Government of Moscow

Head of Project Management Office

IT architecture
portfolio · public procurement
2016 — 2019
Samsung

Head of Product Analytics

B2B products
team of 30

TECHNOLOGY FOUNDATION

I speak to the business
about outcomes.
To engineers —
in substance.

01 / LANGUAGES

PythonJava

02 / TECHNICAL SKILLS

Enterprise ArchitectureAI / LLMKubernetes CI/CDDevOpsIaCKafka ObservabilityDWH & BI

03 / SOFT & BUSINESS

IT StrategyProduct LeadershipTeam Leadership Vendor ManagementComplianceChange Management

Management foundation.
Technology focus.

I combine formal management education, technical training and working English for an international context.

2013

Higher education

HSE University

Graduate School of Business · Management
2018

Further education & courses

Stanford

Machine Learning
C1

Working language

English

Advanced

FULL VERSION

Experience, roles and results — in the CV.

Download CVPDF · 1 page

FROM STRATEGY TO PRODUCTION

Let's discuss a challenge
where scale matters.

Moscow · open to CIO / CPO / IT Director conversations