Machine learning engineer w m d állás, munka

• Testing and monitoring e-commerce payments, ensuring accuracy and compliance with established policies and procedures.
• Handling incoming tickets related to online payments, customer payouts & fraud prevention.
• Creating and managing IT development tickets for payment-related issues.

• Drive results: Use insights, analytics, and experimentation to optimize the funnel, increase conversion, and accelerate time-to-value.
• Innovate with AI: Explore AI and emerging technologies to enhance the user experience, test hypotheses, and scale successful experiments.

• Define and execute the automation strategy aligned with corporate digital transformation goals.
• Lead the roadmap, development, implementation and continuous improvement of Power Platform solutions (Power Automate, Power Apps, etc.).

• Set the vision and lead the development of our core behaviour change systems features like goal-setting, micro habits, and intelligent feedback.
• Build and coach two product squads (with initial direct line management).

• Lead and grow a team of product designers across 3-4 squads, fostering collaboration and high design quality.
• Shape the vision for Oviva's Behaviour Change Engine - our core habit-building system - to deliver better patient outcomes.

Market Activation of Flexibility: Connect market opportunities (e.g., spot, balancing, DSO-flex, imbalance) with platform capabilities and customer offerings. Ensure alignment between our solutions and market value drivers....

• Design, maintain, and execute comprehensive test cases across functional, regression, and integration areas
• Perform end-to-end testing of eCommerce flows, with special focus on Hybris-driven processes (catalog, checkout, order management)

• Orchestrate the scope, prioritization, and distribution of resources in your team across the many analytics projects.   
• Manage the delivery process and set expectations with stakeholders for transparent and aligned project outcomes and timelines. 

• Lead and deliver IT projects within the supply chain and logistics domain across Triumph's global value chain
• Manage project execution according to Triumph's IT delivery model, ensuring governance, quality, and compliance