Data & IA Manager
Role details
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Tech stack
Job description
tasks. Collaborate with business and operations teams to reimagine end-to-end processes using technologies such as NLP, generative models, automatic classification, computer vision, or intelligent bots. Establish efficiency and ROI indicators to measure continuous improvement in productivity and automation. 4. AI-Driven Product Innovation Identify opportunities for new products, services, or capabilities powered by AI within the payments domain. Collaborate with innovation, product, and technology teams in the ideation, experimentation, and prototyping of AI-based solutions. 5. Data Governance and Data Quality Promote the framework for data governance, quality, and management, including standards definition, lineage, metadata, cataloging, and quality controls. Ensure regulatory compliance regarding data use, security, privacy, and ethics in model development. Key Requiremnts 5-10 years of experience in roles related to Data & Analytics, Data Engineering, AI/ML, or
Requirements
priorities. Lead the adoption of Data & AI capabilities across the organization, promoting a data-driven culture and ensuring the responsible and secure use of advanced technologies. 2. Project Management and Execution Consolidate, prioritize, and provide end-to-end oversight of Data & AI projects within Payments. Ensure the effective execution of projects under their responsibility, guaranteeing tangible results, technical quality, and compliance with deadlines. Act as the focal point to coordinate operations, product, technology, finance, and other Payments teams involved in data and AI initiatives. 3. Productivity Improvement, Automation, and Process Redesign Lead initiatives to increase productivity of technology and development teams through copilots, intelligent automation, assisted code generation, and advanced engineering practices. Design and drive automations and process redesigns using AI, optimizing execution time, reducing errors, and eliminating manual, information technologies. Proven experience leading strategic data and AI programs. Experience leading generative AI initiatives or chatgpt adoption Bachelor's degree in Computer Engineering, Telecommunications, Mathematics, Physics, Statistics, Quantitative Economics, or similar fields. A Master's degree in Big Data, Artificial Intelligence, Data Science, or an MBA will be a strong advantage. Proven ability to translate business needs into data and AI solutions. Knowledge of machine learning, predictive models, advanced analytics, and generative AI. Familiarity with generative AI tools (ChatGPT, copilots, development assistants such as Devin, etc.). Experience with process automation tools (RPA, AI applied to operational workflows, NLP for document automation, etc.) What we offer Medical insurance Dental insurance Wellhub Life insurance Annual healthcare Transportation allowance Meal voucher/food voucher Annual Bonus Access to self-development programmes Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site