Position: Big Data Engineering Lead - Wallet & Apple Pay - NYC A dynamic organisation seeks an experienced Big Data Engineering Lead - Wallet & Apple Pay - NYC to take on a multifaceted and impactful role. This position offers the opportunity to work with a diverse, cross-functional team in a results-oriented culture. Primary Duties and Responsibilities: Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Train, evaluate, and deploy machine learning models across classification and regression tasks. Ensure compliance with data governance, privacy regulations, and security standards. Build A/B testing frameworks and experimentation infrastructure for product teams. Implement data quality monitoring and automated alerting frameworks for pipelines. Develop scalable data engineering pipelines to ingest, transform, and serve data. Publish insights, model performance reports, and data science findings to leadership. Design data models and schemas optimised for analytical and high-performance workloads. Required Qualifications: Strong interpersonal and stakeholder management skills with a client-service orientation. At least 24 years of hands-on experience in a comparable professional setting. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. Ability to work both independently and in a team-oriented, collaborative environment. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Commitment to ongoing professional learning and industry knowledge enhancement. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Candidates who meet the above requirements are encouraged to submit their detailed CV at the earliest opportunity.