Data Product Manager - Vice President

Role Overview: You have the exciting opportunity to join a dynamic and growing team as a Data Product Manager within the Securities Services Data Product Management team. Your role will involve promoting the strategy, development, and delivery of data lake solutions, partnering closely with various teams to align with business objectives and client needs. Key Responsibilities: - Define and execute the product vision, strategy, and roadmap for the Securities Services Data Lake, ensuring alignment with business objectives and client needs. - Provide hands-on guidance in data lake architecture, data ingestion, processing, and analytics, with a focus on Databricks. Collaborate with engineering teams to design scalable solutions. - Champion best practices for data quality, data lineage, and metadata management. Implement frameworks and tools to maintain data integrity and transparency. - Engage with internal and external stakeholders to gather requirements and prioritize features. - Oversee end-to-end product delivery, ensuring high-quality releases and continuous improvement. - Ensure data quality, security, and compliance with regulatory requirements across all data lake initiatives. Qualifications Required: - Bachelors or Masters degree in computer science, Engineering, or related field. - 10+ years of experience in product management, data engineering, or related roles, with exposure to data lake technologies such as Databricks, Hadoop, Spark, AWS, Azure. - Hands-on experience with Databricks, including building and managing scalable data pipelines and analytics solutions. - Strong background in securities services, financial data, or capital markets. - Proven track record of delivering complex, large-scale data solutions in a hands-on capacity. - Deep understanding of data architecture, ETL processes, data quality frameworks, data lineage, and analytics platforms. - Excellent communication, stakeholder management, and leadership skills. - Experience working in global, cross-functional teams.,