Erik Tagirov.
Project delivery and product operations across regulated FinTech, ERP, and internal platform environments.
Project Manager and Product Owner bringing structure, coordination, and control to complex delivery environments.
Core Operating Vectors
The strategic intake
SHAPE
Translating ambiguous demand into structured, prioritized, and execution-ready work.
Continuous Signal
Sharper scope · cleaner priorities · stronger backlog readiness
The operational driver
DRIVE
Keeping cross-functional delivery aligned through visible dependencies, follow-up, and decision flow.
Continuous Signal
Clearer coordination · fewer stalled items · stronger delivery momentum
The control layer
STABILIZE
Reducing execution risk through structured readiness checks, issue visibility, and release discipline.
Continuous Signal
Better control · earlier risk visibility · fewer late surprises
Together, these vectors turn ambiguity into structured movement and clearer control.
Domain Environments
Different environments, similar responsibility: make complex work clearer, more controllable, and easier to move through delivery.
FinTech & Payments
Environment context
Regulated, release-sensitive environments with cross-team dependencies and operational pressure around payment flows.
Role & contribution
Brought structure to execution where requirements, timing, and stakeholder expectations could easily drift apart.
Operational payoff
Improved release readiness, dependency visibility, and cross-functional coordination across payment-critical delivery.
Environment
Regulated, release-sensitive environments with cross-team dependencies and operational pressure around payment flows.
What I brought
Brought structure to execution where requirements, timing, and stakeholder expectations could easily drift apart.
What improved
Improved release readiness, dependency visibility, and cross-functional coordination across payment-critical delivery.
Foundational Literacy
Tools, methods, and working literacy used across delivery coordination, product work, reporting, and AI-assisted workflow design.
Delivery environment
Jira, Confluence, Miro, Slack, MS Teams, Mattermost, Lucidchart, Notion
coordination, documentation, async reviews, handoffs, day-to-day delivery control
Analytics and product insight
GA4, Mixpanel, Amplitude
Hotjar, session replay, heatmaps, feedback signals
Power BI, Excel, Google Sheets
funnel analysis, retention review, user-flow analysis, KPI tracking, dashboard interpretation
Product and delivery structuring
intake handling, discovery support, backlog structuring, prioritisation
acceptance criteria, task clarification, process mapping, delivery-ready scope
Technical working literacy
SQL, JavaScript, Python, Java
REST API fundamentals, webhooks, integration logic, data mapping, system flow understanding
effective collaboration with engineering, integrations, and cross-functional delivery
AI workflow design
context design, structured prompting, workflow support patterns, AI-assisted coordination logic
practical support for documentation, follow-up, and structured execution support
Formal Background
Degree
B.Sc. in Computer Science
Recognition
German degree recognition (ZAB)
Certificate
Full-Stack Java Developer Certificate