Position: Technical Product Owner (IRC149610)
Company: GlobalLogic
Experience required: 5y

The product we aim to build will be foundations for others delivery teams working in the industry (similarly to stripe API in many products).

** Requirements**

-  Prior experience with API as a Product (or API as SaaS,PaaS) creation preferably REST.
-  Industry-related experience 3+ years (software engineering projects), knowledge of software development lifecycle and software development methodologies including 2+ years in Business analysis or 2+ years as a Technical Product Owner
-  Strong knowledge in practices and techniques of business analysis,  
    requirements gathering (Elicitation – Interview, document analysis) and solutions assessment including gap analysis and root cause analysis
- The mindset with the ability to recognize opportunities to create distinctive business value.

-   Ability to produce solid documentation
-   Ability to maintain knowledge base on the business needs
-   Ability to create clear and concise requirements documentation (English writing, diagrams, UML, BPMN)
-   Fluent English (comprehensive written and verbal communication)
-   Previous experience as a developer is an attitude


**Job Responsibilities**

-   Collaborate with stakeholders, end-users, and Subject Matter Experts to gather and document business and functional requirements 
-   Create/maintain project knowledge base also documentation for external product customers
-   Document mid/low-level requirements, update Jira stories (including data flows modeling, UI sketches)
-   Perform gap analysis between high level and low-level requirements
-   Participate in demo and training preparation
-   Draft and maintain use cases or other supporting documentation for enhancements new features

**Department/Project Description**
We are partnered with a market-leading company delivering fleet management solutions. Using the newest cloud and IoT technologies we provide real-time services for customers around the globe.
In over 20 projects we are working with a variety of technologies: Machine Learning, Computer Vision, Cloud, Big Data, Frontend, Backend, and others. By detecting in real-time road risks, weather conditions, and other events we increase safety and awareness for the fleet of over 650 thousand vehicles.