Daniil Grachev
AI-Native Head of Analytics &
Decision Systems Leader
Designing AI-assisted decision-making systems that scale product & growth—with strong metric governance, experimental rigor, and human-in-the-loop validation.
class AINativeDecisionSystem:
def __init__(self):
self.role = "Head of Analytics"
self.orchestration = ["GenAI Agents", "dbt", "BigQuery"]
self.guardrails = ["Metric Governance", "Causality", "Human Review"]
def run_decision_flow(self, user_queries):
# AI automates 80% of routine SQL, EDA & visualization
draft_insights = self.ai.generate_insights(user_queries)
# Humans validate business context, attribution, and causality
validated = [self.verify_causality(insight) for insight in draft_insights]
return self.maximize_business_impact(validated)
About Me
I am an AI-Native Head of Analytics with over 10 years of experience bridging product, growth, and data engineering. I help organizations move from static, reactive reporting to dynamic, AI-assisted decision systems.
I believe that SQL and Python are accelerators, not differentiators. My focus is on building metric governance frameworks, designing rigorous experiments, validating causality, and establishing human-in-the-loop guardrails so businesses can make decisions they can actually trust.
AI-Native
Decision Workflows
Governance
& Metric Trust
Causality
Over Correlation
Core Competencies
AI & Analytics Orchestration
Governance & Causality
Data & BI Architecture
Product & Growth Strategy
Experience
AI-Native Analytics Consultant
Self-Employed / Various Clients
Architecting self-serve analytics and AI-enabled decision workflows. Designed end-to-end metric governance and tracking for Tango (500M MAU live streaming app), establishing rigorous data guardrails. Optimized conversion pipelines for EdTech platform Relocate, increasing onboarding conversion by 30%.
Staff Product Analyst - Advertising
VK
Led growth analytics for EMEA's largest streaming platform (<50M MAU). Re-engineered attribution logic and traffic signal validation to isolate true ad effectiveness, reducing client churn by 20% and preventing false optimization triggers from noisy data signals.
Marketing Analyst Team Lead
Yango (Yandex Mediaservices)
Orchestrated growth and experimentation frameworks for 30M+ users. Boosted promo ROI by 30% via unified tracking. Re-designed CPA partner validation systems using fraud-prevention mechanics, scaling network conversions by 300% without quality degradation.
Senior Data Analyst
OMD
Built B2B SaaS analytical products for the world's largest media network, doubling department revenue in 6 months. Translated complex business logic into automated prediction models, including a key demand forecasting product for global pharmaceutical clients.
Key Projects
EdTech Decision-Driven Growth
Designed a comprehensive conversion tracking ecosystem using Mixpanel and Segment. Transitioned the team from static metric reviews to continuous experiment pipelines, driving a 30% onboarding uplift.
Tango Decision & Governance Layer
Established core data models and metric governance rules for 500M MAU. Designed decision guardrails that verified signal reliability, boosting paid users by 12% via trusted, self-serve growth insights.
Predictive Demand SaaS
Created a pharmaceutical demand prediction product from scratch. Translated complex epidemiological data signals into actionable procurement forecasts, successfully adopted nationwide.