We are currently looking for our Technical Project Manager M/F Mexico Based (full time)
About the Team đ„
Reporting to the Head of Delivery, youâll join a dynamic team. The Qantev Delivery team is vital in overseeing the entire client journeyâfrom initial onboarding to successful project delivery and ongoing support. They ensure that client relationships are effectively managed and that client needs are met through Qantevâs AI-driven platform.
About the role đ
You will play a critical role driving the successful end-to-end implementation of technical projects, ensuring alignment with business goals, customer requirements, and industry standards. This role requires a blend of project management skills, technical expertise, leadership capabilities, and effective communication to drive innovation and achieve operational excellence.
What you will do đ
Project Management
Independently manage the end-to-end client IT delivery portfolio from design to implementation, through collaborative work following Agile methodologies
Develop and execute high quality Application Software implementation plans independently based on client processes and requirements through API
Work in partnership with Technology, Product and Sales Teams to successfully deliver the Client Portfolio meeting both technical and business requirements
Requirement Analysis and Documentation
Capture and document client strategy, operational processes and business rules and communicate to Technology Teams
Work in partnership with the Product Team, scope feature requirements and conduct gap analysis
Technical Delivery
Support the software application design including data schema modeling, process workflow development and execution in line with Qantev Software Lifecycle operating principles
Feed customer and market insights back to the rest of the company, to help design the next generation of AI products
Contribute to the development of technology processes and internal frameworks
Become an expert - and evangelist for â Qantevâs technologies and the capabilities of machine learning
Resource management
- Manage the Solution Deployment resource plan and requirements based on Client Portfolio demands and Sales pipeline