Data Product Owner - Senior Associate

Join our Commercial & Investment Bank Analytics team to help identify and implement solutions to streamline and optimize data curation, modeling and delivery. This role offers a unique opportunity to apply your knowledge and experience in data to help our BI and Analytics teams to effectively and efficiently use data to drive business value and innovation.

As a Data Product Owner within the Commercial & Investment Bank, you will utilize your expertise in data management technologies to identify, design, and implement innovative solutions that enhance the speed of data product delivery, improve ease of data access, and ensure the quality and completeness of the data.

Job Responsibilities:

• Gather requirements, architect and implement data models within a data mesh framework to facilitate efficient data curation.
• Oversee data management processes, ensuring data integrity and compliance with firmwide governance policies.
• Closely work with platform data architects to design consumption data models (Data Vaults)
• Collaborate with cross-functional teams to align data strategies with business objectives and drive continuous improvement in data processes.

Required qualifications, capabilities and skills:

• 5+ years of experience in data analysis, solution development, and implementations within financial services or technology consulting
• Bachelor's degree in Data Science, Computer Science, or related field
• Strong proficiency in SQL and Python for data analysis and discovery
• Experience with cloud databases such as Databricks, Snowflake, and Redshift
• Expertise in data modeling, including the creation of ice-berg entities and adherence to data vault models
• Familiarity with data ingestion patterns and tools, including Kafka, AWS Streaming, and batch processing
• Proficiency in using Python, Alteryx, Tableau for data wrangling
• Excellent analytical, problem-solving, and communication skills
• Ability to work independently and collaboratively within and across teams

Preferred qualifications, capabilities and skills:

• Experience in Banking, particularly in Corporate Lending
• Knowledge of data governance and security practices
• Familiarity with agile methodologies and project management tools