The Vice President of Business Analytics Engineering will spearhead the integration of cutting-edge data solutions to drive strategic growth and innovation. Your leadership will empower cross-functional teams to transform complex data into actionable insights, ensuring our organization stays ahead of industry trends and meets evolving customer demands. By leveraging your expertise, we will enhance decision-making processes and unlock new opportunities for sustainable success.

As a Vice President of Business Analytics Data Engineering within our dynamic Data Modeling team, you will play a crucial role in overseeing Data Procurement, Data Architecture, Data Curation, and the strategic direction of Data Modeling for the Commercial & Investment Bank’s Global Services function. You will collaborate directly with senior stakeholders and technical teams, gaining a deep understanding of core business processes. Your contributions will be vital in the development of people, processes, and technology necessary to support a best-in-class organization. You will also lead the creation of executive presentations that provide insights into the platform's health

Job responsibilities:

Design, develop, and maintain efficient and scalable data pipelines to support analytics and reporting needs.Architect and implement data models and transformations to ensure data is organized and accessible for analysis.Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.Develop and maintain the overall data architecture, ensuring it aligns with business requirements and industry best practices.Collaborate with data analysts and data scientists to understand data requirements and translate them into technical specifications.Work with cross-functional teams to integrate data from various sources and systems, including APIs, KAFKA Streams, NoSQL databases etcWork with JSON data structures for data exchange, storage, and processing.Optimize data workflows and processes to improve performance, reliability, and scalability.Ensure data quality and integrity through validation, testing, and monitoring.Stay up-to-date with industry trends and best practices in data engineering, architecture, and analytics.

 

Required qualifications, capabilities, and skills:

6+ years of work experience within Analytics, Information Systems, Operations Research and/or Management Consulting roles. Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.Proven experience as an Analytics Engineer, Data Architect, Data Engineer, or in a similar role.Strong proficiency in SQL and experience with data modeling and ETL processes.Proficiency in working with JSON data structures for data exchange, storage, and processing.Experience with data warehousing solutions such as Snowflake, Redshift, or Databricks.Experience with programming languages such as Python or R.Knowledge of data architecture principles and best practices.Experience designing and implementing APIs for data access and integration.

Preferred qualifications, capabilities, and skills:

Experience with data visualization tools like Tableau, Power BI, or Looker is a plus.Work experience in Financial Services is a plusExcellent problem-solving skills and attention to detail.Strong communication and collaboration skills.Familiarity with NoSQL databases such as MongoDB, Cassandra, or DynamoDB.