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Lead and manage data-related projects, particularly within the Capital Markets domain, ensuring alignment with business objectives and timely delivery
Oversee the successful implementation of data control processes and data governance practices for big data lake projects
Implement and enforce data control frameworks to ensure consistency, integrity, and accuracy of data across all stages of data lifecycle management
Ensure compliance with regulatory requirements related to data accuracy and reporting within the capital markets domain
Serve as the primary point of contact between business stakeholders and technical teams
Gather and define business requirements, translate them into technical specifications, and ensure that the final solutions meet the business needs
Develop and implement strategies to maintain high data quality standards, including data accuracy, completeness, and consistency, especially in large-scale data lake environments
Define, manage, and track data project timelines
Work closely with project managers to ensure milestones are met and project deliverables are completed on time, within scope, and within budget
Engage with internal and external stakeholders, including business units, data scientists, data engineers, and senior management, to ensure alignment on business needs and data requirements
Provide detailed reports on data quality metrics, project status, and any risks or issues
Analyze data trends, performance, and project outcomes to drive actionable insights
Develop and maintain comprehensive documentation on business requirements, data control processes, data governance, and project deliverables
Establish and enforce best practices for data management within the organization
Identify opportunities to improve data processes, governance, and data quality standards
Suggest enhancements to data architectures and workflows to optimize performance and efficiency
Requirements:
8+ years of experience as a Business Analyst, with at least 3 years focused on data-driven projects in the Capital Markets domain (e.g., trading systems, portfolio management, risk management, derivatives, equities)
Strong experience in implementing data control frameworks, data governance policies, and managing data accuracy within large data environments such as data lakes and big data projects
Proven experience managing data projects, working with cross-functional teams to ensure timely delivery of key milestones and meeting business requirements
Excellent ability to communicate complex technical concepts to business stakeholders and translate business needs into actionable technical requirements
Proven ability to define and enforce data quality standards, including methods for identifying and correcting data issues to ensure accuracy and completeness
Familiarity with data management tools, big data platforms (Hadoop, Spark, Hive), and reporting tools (e.g., Tableau, Power BI)
Knowledge of data integration techniques, ETL processes, and data visualization
Strong ability to manage relationships with key stakeholders, ensuring that business needs are met while aligning with technical capabilities and timelines
Strong analytical skills with the ability to review and solve complex data-related issues, providing innovative solutions to data challenges
Nice to have:
Experience working in Agile environments and familiarity with Agile project management frameworks (e.g., Scrum, Kanban)
Relevant certifications (e.g., CBAP, PMI-PBA) are a plus
Experience working with cloud-based data solutions (AWS, GCP, Azure) for big data storage and processing
Experience working on big data lake projects, including understanding how data flows through such systems and how it is managed, validated, and made accessible for analytics