Senior Lead Analyst

It begins with a Card Member using an American Express Card at one of our millions of Merchants around the world – the rest is up to us! The GMNS Product team is the heart of the American Express Enterprise, powering billions of transactions through the global payments processing network that we develop and lead. We work across almost every American Express business unit as well as with external partners, providers, and key industry collaborators. We are known to be intellectually curious and problem solvers as we take on the most imperative initiatives facing the payments industry today, such as securing online transactions and enabling faster, more convenient ways to pay. The GMNS Capability Delivery team within GMNS Product modernizes our Network and Acquirer payments ecosystems, building the rails that enable innovative payment solutions. A role on this team will challenge you to broaden your skills and industry savvy in a collaborative, diverse and inclusive team environment! The Data Enablement & Insights Solution team is responsible for overseeing data products and platforms specific to the Global Merchant & Network Services (GMNS) business. Our team is dedicated to helping American Express leverage enterprise-wide capabilities and assets to strengthen our integrated network and become an essential part of our customers’ digital lives. Reporting to the Manager - Product Data Enablement & Quality, the Sr Lead Analyst is responsible for supporting the creation and maintenance of data solutions used to power analytical and reporting capabilities for GMNS and the Enterprise. The Sr Lead Analyst is responsible for driving strategy, testing solutions and user education across roadmaps - partnering with GMNS, EDDS, AET and others to focus on creating data consistency across operations, reporting, and analytical solutions within the Amex big data ecosystem. Work alongside Product Owner(s) to develop a product-level test strategy and roadmaps with initial focus on migrating products to the Amex google Cloud platform Lumi. Ensure continuity of support and delivery across Product initiatives, including UAT support, office hours across geographies to increase tool adoption, managing documentation, and operational tracking and deriving insights to provide recommendations Work on servicing, solutioning, and support for the full Merchant Data Products release train. Drive speed to market through testing at scale, standardization, and agility. Develop deep understanding of integrations with other systems and platforms within the supported domains. Develop and adapt processes to take maximum advantage of technology advancements, reduce manual effort through automation, and drive accuracy and efficiency. Define & implement metrics to measure the health of delivery processes & platforms, ensure tactical and strategic fixes for continuous improvements. Enhance customer service experience by incorporating self-service capabilities & technology platforms & capabilities to provide strong customer service. Ensure compliance, quality and regulatory requirements of all supported processes. Lead with an external perspective, challenge status quo, and bring continuous innovation to our existing offerings. Demonstrate learning agility, make decisions quickly and with the highest level of integrity. Bachelor’s degree or above in a quantitative field such as data analytics, or engineering with Understanding of data engineering concepts. 2+ Years of experience in Data Analysis & Data Management or Servicing with strong knowledge of Amex Systems Expertise in leading large team of highly skilled and analytical data product owners. Product management experience in large scale data as a service products or digital platforms using Agile methodology is preferred. Proven experience managing dependencies across multiple teams, functions, and stakeholders. Problem solving: Demonstrable analytical aptitude and ability to analyze data to come up with meaningful insights and make informed business decisions. Hands on experience on Hive, Python, SQL, Big Query is required. Effective communicator and influencer: Excellent verbal and written communication with an ability to convert business requirements to tech features and influence without authority. Deep and proven experience in servicing and operations support in a Big Data/ Cloud based Enterprise Platform environment with strong focus on driving business strategies. Knowledge of Enterprise system integration and platform architecture. Understanding of Control & Compliance requirements in a data product ecosystem.