Erik Tagirov
Senior Delivery & Product Practitioner
Project management, product ownership, and AI-enabled operating systems — structured around delivery discipline, decision clarity, and practical frameworks. A professional profile built for depth, not just scanning.
Core specializations
Professional Lenses
Three structured views into the professional profile. Each lens contains its own evidence layer, operating models, and practical frameworks.
Project Manager
A 7-stage delivery operating model covering goal clarity, scope control, structured execution, governance rhythm, and release readiness.
Product Owner
An 8-stage product framework moving signals from intake through discovery, decision, prioritisation, shaping, delivery support, and validation.
AI Systems
A catalog of bounded AI agents designed to support project and product operations through structured coordination, monitoring, and decision support.
Operating logic
Working Principles
The operating philosophy behind the work. These are not general claims, but the criteria I use to evaluate process quality.
Structure Over Improvisation
Reliable execution depends on structured models, visible processes, and defined control points — not on individual effort filling in the gaps.
Clarity Before Speed
Unclear goals, undefined scope, and unresolved assumptions create more waste than deliberate definition work ever does.
Role Discipline
Project management and product ownership are distinct disciplines. Blurring them leads to accountability gaps and weaker output from both.
Evidence Over Narrative
Frameworks, artifacts, and verifiable states are more useful than good-sounding claims. Structure is the credibility, not the summary of it.
Systems Thinking
Projects and products are systems with inputs, states, dependencies, and outputs. Managing them well means managing those relationships, not just the tasks.
Curated intelligence
Signal Radar
A filtered layer of high-signal developments across AI systems, product ownership, project governance, and delivery practice.
AI Agents & Workflow Systems
Codex for Business Operations Workflows
OpenAI provides examples of how business operations teams can use Codex to automate the creation of initiative briefs, strategy updates, and leadership decision packets. The system leverages real work inputs to generate structured professional documentation.
OpenAI NewsAI Agents & Workflow Systems
Codex for Data Science Workflow Automation
OpenAI provides examples of how data science teams can use Codex to automate the creation of root-cause briefs, KPI memos, and dashboard specifications. The guide focuses on transforming real work inputs into structured professional documentation.
OpenAI NewsAI Agents & Workflow Systems
Databricks Brings GPT-5.5 to Agent Workflows
Databricks has integrated GPT-5.5 into its enterprise agent workflows, citing a new state-of-the-art performance on the OfficeQA Pro benchmark. This implementation focuses on automating complex enterprise-level tasks through advanced agentic behavior.
OpenAI NewsEvidence Archive
Case Explorer
A structured catalog of technical challenges and product decisions. Use the filters or search to explore evidence by lens, domain, or operational pattern.
OB Final-State Logic
Defined the final-state mapping for provider signals where technical success did not guarantee operational completion.
Pending-State Design
Designed the product experience for async payment resolution under provider timing uncertainty.
Payment Fallback Logic
Established guardrails for product behavior when external payment signals were incomplete.
Deposit Flow Constraints
Built a workable deposit journey around significant third-party API and compliance limitations.
Onboarding Readiness
Separated technical development progress from external partner onboarding and production readiness.
Release Readiness
Created a unified view of release readiness across development, testing, and operational support.
Direct contact
Direct access for structured discussion. No friction. CV available on request.