Oleksandr Babita

Overview Key Impact Systems, Automation & Integrations Execution & Leadership

Led internal products operations for Prospectory.ai (an AI-driven platform for lead intelligence, campaign automation, and pipeline management (AI CRM-like system) and Projectory.ai (US GOV tech).

• Transformed Prospectory from unstable, fragmented product into structured, scalable system, improving usability and delivery predictability
• Stabilised process by identifying critical UX/system flaws and leading process-driven refactor (Poka-Yoke principles) to prevent user and system errors
• Increased delivery speed and consistency by introducing release train model and AI-driven automation workflows
• Increased team velocity by embedding AI-driven workflows and automation into daily operations
• Introduced structured pipeline thinking, improving how teams operates & coordinates.
• Built end-to-end delivery system (backlog → dev → QA → release → post-release) with clear ownership and execution standards
• Implemented release train process:fixed weekly cadence (Dev → Pre-Prod → Production)
  structured release validation (C2B checks before QA)
  standardised post-release communication (Slack + AI-generated release notes that then were been published to corporate website)
• Introduced AI-powered automation layer using:Cursor → fast prototyping, feature drafts, QA checklist generation
  Claude → structured requirements, documentation, release notes
  Jam.dev → bug capture, dev/QA alignment, debugging workflows
• Automated key operations:release notes generation (internal → marketing-ready)
  QA artifacts (test cases, regression scenarios, edge cases)
  structured ticket creation from product discussions
• Standardised Linear as execution system:enforced templates (feature / bug / design / QA)
  mandatory acceptance criteria + validation steps
  clear estimation and dependency tracking

Automation & AI Enablement

• Implement AI-assisted workflows using Cursor, Claude code, and Jam.dev to: generate structured requirements and tickets,
  auto-create QA checklists (regression, edge cases, critical flows)
  accelerate prototyping and reduce development cycles
• Automated operational tasks: release notes (internal → customer-ready), documentation and feature structuring, QA scenario generation
• Shifted team toward AI-augmented delivery model, increasing output without increasing team size and costs.
• Operated as PMO Lead / Product Manager / Release Manager across Prospectory, Projectory .
• Owned backlog structuring, prioritisation, and cross-team execution
• Led daily operations (DSMs, unblockers, stakeholder alignment)
• Worked directly with AI engineers to translate capabilities into practical user workflows
• Prototyped solutions hands-on to validate ideas before development using Claude Code, Cursor, supabase/firebase (as prostrgresQL db). Note: Fullstack prototypes-> Backend (node.js/expess js) + next.js on frontend.

Built a SaaS product focused on project estimation and delivery planning, used as a hands-on environment to experiment with product workflows, automation, and AI-assisted features.

• Designed end-to-end product flow: idea → structured scope → estimation → client-ready output
• Developed and tested estimation frameworks (PERT, min-max, point estimation) in a real product environment
• Implemented AI-assisted workflows for generating structured project scopes and estimates
• Focused on speed and simplicity, reducing time from idea to structured estimate to minutes
• Prototyped features hands-on using modern tools (AI-assisted development, frontend logic, system design)

Overview Key Impact Process & Delivery Systems Execution & Leadership Process Improvement Focus

Led delivery and process improvement across multiple client projects, focusing on scaling execution, stabilising delivery, and building structured PMO practices.

• Improved project Discovery Phase & Estimation phase
• Improved delivery predictability by introducing structured planning, prioritisation, and execution frameworks across projects
• Reduced delivery risks and misalignment by standardising communication, reporting, and stakeholder management processes
• Increased team efficiency by identifying bottlenecks and simplifying workflows across development and QA
• Strengthened client confidence through clear delivery structure, transparency, and consistent execution
• Built and scaled end-to-end delivery processes (discovery → planning → development → QA → release)
• Standardised project management practices across teams:backlog structuring and prioritisation
  sprint planning and execution
  estimation and scope control
• Introduced clear ownership and accountability models across teams (PM, dev, QA)
• Improved cross-team collaboration workflows, reducing delays and miscommunication
• Managed multiple projects as Senior PM / Delivery Manager, ensuring timelines, scope, and quality
• Acted as escalation point for delivery risks, blockers, and client concerns
• Led daily operations (standups, planning sessions, stakeholder syncs)
• Coordinated cross-functional teams (frontend, backend, QA, design)
• Ensured alignment between business goals and technical execution
• Identified inefficiencies in delivery workflows and introduced simplified, scalable processes
• Reduced dependency on individuals by implementing repeatable delivery frameworks
• Improved visibility into project health (progress, risks, blockers)

Key Impact Systems & Process Implementation Estimation, Risk & Quality Management Execution & Leadership

• Established and led a PMO overseeing 15+ parallel projects across 5 departments, achieving 85% on-time delivery on projects valued at $1.2M+ annually
• Led cross-functional teams of up to 50 members across multiple locations, successfully launching 12 enterprise software products
• Improved estimation accuracy by 25% and reduced scope creep by 30% through implementation of advanced estimation models
• Reduced high-risk delivery delays by 40% by strengthening risk management frameworks and introducing faster mitigation processes
• Built and enforced end-to-end SDLC frameworks (initiation → planning → execution → QA → release → closure)
• Implemented and scaled delivery methodologies:Agile (Scrum, Kanban)
  Waterfall and hybrid models (based on project needs)
  
• Standardised project execution in Jira, including:backlog structuring and prioritisation, sprint planning and tracking
  reporting and visibility
  
• Implemented advanced estimation practices:PERT (three-point estimation), Story points, Critical Path Method (CPM), risk-based estimation approaches
  
• Introduced structured risk management framework:proactive risk identification. mitigation planning, rapid response workflows (critical issues resolved within 24h)
  
• Applied Root Cause Analysis (RCA) to reduce recurring issues and improve delivery stability
• Led projects from initiation through delivery to closure, ensuring alignment with business goals
• Managed stakeholder expectations, delivery risks, and cross-team dependencies
• Resolved conflicts across teams and stakeholders to maintain delivery momentum
• Ensured consistent communication, reporting, and accountability across all project layers

-managing and controlling projects from QA side from initiation phase( analysis of tech documentations, creation of internal control documentation etc) till the mass production (Lean & six sigma project management)
- team management ( multi departments team members: engineering, management, production)
- creation and leading of validation and certification processes.
-waterfall, kanban, hybrids methodologies
-on site customer representative
- process and quality improvement actions
-8D, Control plan, FMEA
-Risk management
- and a huge scope of endless and interesting things :)