JOB DESCRIPTION
DESCRIPTION:
Duties: Build and manage reports, dashboards, and analytical tools using business intelligence platforms to analyze payment data, spearheading migration from on-premises and legacy platforms to modern, cloud-based architectures. Develop and optimize advanced queries to manage large datasets, ensuring efficient data processing and transformation in cloud environments. Lead design, prototyping and strategize advanced modeling, predictive analytics and generative AI solutions for Merchant Services, with a focus on data-driven sales. Direct solution architecture and development, collaborating cross-functionally with data scientists, governance teams, data owners, the Chief Data & Analytics Office, and engineering to deliver impactful business outcomes. Lead product pricing strategy by providing market rate estimates and recommendations that balance client savings with firm profitability. Monitor client and overall portfolio profitability and deliver actionable insights to inform pricing and strategic decisions. Model the potential and future impact of network fee changes on product economics, ensuring informed decision-making and long-term financial sustainability. Identify and develop opportunities to enhance the product's value proposition, and manage key client discussions, support business development, and analyze firm-wide economic implications.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Information Technology and Management, Computer Science, Business Analytics, Information Systems, or in a related field of study plus 4 years of experience in the job offered or as Data Scientist, Software Engineer, Marketing Analyst, Data Analyst, or in a related occupation.
Skills Required: This position requires experience with the following: leveraging understanding of finance, banking, and payments to analyze data and build business intelligence products; using SQL to write queries, optimize performance, and manage datasets; working in cloud based data platforms including Snowflake and Databricks; utilizing productivity and collaboration tools including Bitbucket, Jira, and Confluence for development; utilizing Agile development, leveraging Agile and Scrum methodologies to deliver projects; orchestrating autonomous Artificial Intelligence agent systems and developing business intelligence products using generative AI and Large Language Models(LLMs) in Python, leveraging prompt engineering, fine-tuning LLMs, and implementing Retrieval-Augmented Generation (RAG) systems; designing and implementing statistical modeling using SQL and Python to build predictive analytics and Dynamic pricing models; collaborating with data scientists, governance teams, data owners, and engineering teams to develop business intelligence tools.
Job Location: 8181 Communications Parkway, Plano, TX 75024.
Full-Time.
