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DARIIA MEDVEDIEVA

Technical Program Manager

GOOGLE · MACY’S · AMERICAN EAGLE · 10+ YRS in tech

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ABOUT

Technical Program Manager

Technical Program Manager with 10+ years of experience delivering platform and technical initiatives in large-scale engineering environments (Google, Macy’s, American Eagle).

I specialize in end-to-end technical delivery across platform and AI-adjacent initiatives, operating at the intersection of engineering, systems, and execution to drive scalable and predictable outcomes.

SKILLS

Areas of Expertise

  • Technical Program Management

  • Cross-Functional & Stakeholder Leadership

  • Platform, Data & AI Program Delivery

  • Risk Management & Execution Planning

  • Automation Strategy & Systems Thinking

Technical Project Manager

AI-Powered Career Reboot

Feb 2024 – Present | Alpharetta, GA

In 2024, I transitioned from QA Leadership to Technical Project Management through applied learning, hands-on AI projects, and a strong focus on Responsible AI and Automation Delivery.

I’m leading a self-directed shift that blends 10+ years of technical experience with modern project coordination, communication, and delivery practices, bridging quality, technology, and impact.

 

Key Highlights:

  • Building a personal portfolio to showcase applied AI and automation projects.

  • Exploring Responsible AI principles, automation ethics, and governance through Google and Coursera learning paths.

  • Prototyping Python-based solutions to improve automation efficiency and integrate AI into delivery workflows.

  • Advancing leadership, communication, and delivery management skills for AI-driven TPM roles.

QA Automation Lead

Macy's (via Grid Dynamics)

Sep 2022 – Feb 2024 | Johns Creek, GA

  • Developed and maintained Java-based automation framework, reducing manual regression testing by over 50% across backend workflows.

  • Refactored and expanded 200+ automated UI tests for product recommendation engine using Java and Cucumber, reducing maintenance overhead and increasing execution stability by 40%.

  • Scaled and coached QA team, driving 35% increase in test coverage and improving delivery velocity through strategic planning, hands-on mentoring, and process optimization.

  • Drove early defect identification by actively participating in sprint demos and backlog grooming sessions, resolving QA blockers 20% faster.

  • Boosted communication across distributed teams by leading onsite coordination efforts, resulting in 30% faster resolution of cross-functional issues.

QA Automation Engineer | Test Lead

Grid Dynamics

Oct 2014 – Sep 2022 | Kharkiv, Ukraine

  • Created E2E documentation for Fortune 50 client to enable seamless migration to Google Search.

  • Designed test strategy for validating complex search behavior across legacy vs. new systems.

  • Automated 90%+ of regression tests for backend and mobile features using Java-based frameworks.

  • Led end-to-end integration QA for messaging migration to Kafka, designing strategy, setting up config, and validating product availability logic; ensured 95% coverage and aligned cross-functional teams.

  • Collaborated with DevOps to stabilize CI/CD pipelines, reducing flaky tests and unblocking releases during holiday season.

  • Built and automated iOS/Android test cases for American Eagle using Appium, Xcode & Java.

  • Achieved 90%+ automation coverage for new mobile features, improving release confidence and speed.

WORK EXPERIENCE

EDUCATION

Master of Science in Computer Science

National Technical University "KhPI", Kharkiv, Ukraine

Graduated with Honors — 2014

Bachelor of Science in Computer Science

National Technical University "KhPI", Kharkiv, Ukraine

Graduated with Honors — 2012

CERTIFICATIONS

Machine Learning Operations (In Progress)

Menu Tablets Pilot Rollout

Program case study focused on stakeholder alignment, rollout planning, risk management, and execution artifacts. Includes PRD, stakeholder analysis, project plan, and delivery documentation.

AI Platform for Motorsport Team

Design and delivery of a lightweight AI-enabled platform supporting operational workflows for a motorsport team. Focused on requirements definition, system boundaries, execution planning, and responsible AI considerations.

Website & Platform Redesign (Technical Delivery)

End-to-end technical delivery of a team digital platform redesign, including requirements framing, system boundaries definition, execution planning, tooling decisions, and iterative delivery.

PROJECTS

LET'S WORK TOGETHER

dariiabear@gmail.com

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