Data Product Owner - Senior Associate

About the Role

Key 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.

Requirements

• 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.

Nice to Have

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