Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As the Data Product Manager within the Securities Services Data Product Management team, you will promote the strategy, development, and delivery of our data lake solutions. You will partner closely with engineering, operations, and business teams to define and execute the product vision, strategy, and roadmap for the Securities Services Data Lake, aligning with business objectives and client needs.

Job responsibilities

Work on Product Strategy & Roadmap:
Define and execute the product vision, strategy, and roadmap for the Securities Services Data Lake, aligning with business objectives and client needs.Technical Leadership:
Provide hands-on guidance in data lake architecture, data ingestion, processing, and analytics, with a strong focus on Databricks. Collaborate with engineering teams to design scalable and robust solutions.Data Quality & Lineage:
Champion best practices for data quality, data lineage, and metadata management. Implement frameworks and tools to ensure data integrity, traceability, and transparency across the data lake.Stakeholder Management:
Engage with internal and external stakeholders, including business users, technology teams, and clients, to gather requirements and prioritize features.Delivery & Execution:
Oversee end-to-end product delivery, from concept to deployment, ensuring high-quality releases and continuous improvement.Data Governance & Compliance:
Ensure data quality, security, and compliance with regulatory requirements across all data lake initiatives. 

Required qualifications, capabilities & skills :

Bachelor’s or Master’s degree in computer science, Engineering, or related field.10+ years of experience in product management, data engineering, or related roles, with significant exposure to data lake technologies (e.g., 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.