Lead Business Analyst - Assistant Vice President

Strong experience in Data Modelling, Data Discovery with operational & functional knowledge. - Proficiency in writing SQL queries and analysis on data and meta-data. - Framework knowledge of Visualization/Business Intelligence tools such as Tableau, Spotfire, Power BI. - Agile SDLC processes for managing and delivering requirements across sprints and releases. - Clear understanding of dependencies and support requirements from various data pipeline functions. - Excellent communication and articulation skills, proven Stakeholder Management, and strong executive presence. - 15 years of overall techno-functional experience. Good-to-have skills:

Knowledge in Global standards such as BASEL and GDPR. - Data Modelling Skills. - Agile/Project management. The work schedule for this role is hybrid. As a Lead Business Analyst for CDO at State Street, you will play a critical role in driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies. Join the team to grow your technical skills, solve real problems, and contribute to the financial services industry. As a Lead Business Analyst for the Chief Data Office (CDO) at State Street, you will play a crucial role in collaborating with various stakeholders across the enterprise to deliver multiple workstreams and initiatives for CDO. Your responsibilities will include but not limited to:

Collaborating with different stakeholders to deliver multiple workstreams/initiatives for CDO. - Demonstrating a strong understanding and experience in Data Platform implementation while working with various stakeholder groups on end-to-end data pipeline use cases and regulatory remediation initiatives. - Leading requirements gathering, analysis, and elicitation for multiple Data Platform initiatives, including Data Modelling, Data Lineage, Data Quality, and Data Reporting. - Mapping business data requirements to their sources, suggesting data models for further data consumption, and distribution. - Developing BRD/user stories, business and data procedures, source to target mappings, DQ rules, and related documentation for the data products being developed. - Collaborating with Business stakeholders, IT/data engineering team members, business users, and implementation team along the project lifecycle. - Delivering in a complex deadline-oriented environment and multi-tasking on multiple projects concurrently with little supervision. - Proactively identifying risks, challenges, and impacts of the business uses and guiding the team with strategic roadmaps. - Creating and managing delivery roadmaps, risks, and dependencies, tracking progress, and removing hurdles to achieve OKRs and milestones. - Communicating effectively and providing updates to CDO leadership. Core/Must-have skills:

Strong experience in Data Modelling, Data Discovery with operational & functional knowledge. - Proficiency in writing SQL queries and analysis on data and meta-data. - Framework knowledge of Visualization/Business Intelligence tools such as Tableau, Spotfire, Power BI. - Agile SDLC processes for managing and delivering requirements across sprints and releases. - Clear understanding of dependencies and support requirements from various data pipeline functions. - Excell