Asset Management - Data Analyst - Client Service Publishing Solutions - Vice President - London

Are you passionate about leveraging data to drive strategic business solutions in the financial sector? Do you have a knack for transforming complex data into actionable insights? If so, we invite you to join our Asset Management Product and Experience (AMPX) team. We are on a mission to execute a multi-year global transformation of our Publishing Solutions product line, creating an infrastructure that supports millions of client deliverables annually and enhances client experiences across all communication channels.

As a Vice President, Data Analyst, you will play a pivotal role in high-visibility initiatives. You will collaborate with Product Managers, Data Owners, Investors, Reporting Specialists, and Technologists to ensure our data infrastructure is robust, reliable, and ready for client use. Your expertise in the life cycle of data will be crucial in shaping the future of our data products.

Key Responsibilities:

1. Conduct in-depth analysis of data requirements for client deliverables, documenting data sources and mapping current to target states. (e.g., data lineage in ETL processes)
2. Team up with Product Managers and Technologists to saturate the data mesh (Snowflake) with Client-ready data.
3. Develop and implement durable data governance processes and data quality rules.
4. Utilize tools like Python, Alteryx, LLMs, SQL, Pendo and Tableau to enhance business processes, data cataloging, extract, transform, load, and visualization.
5. Identify System-of-Record (SOR) dependencies and cultivate partnerships to ensure timely and accurate data availability/delivery.
6. Collaborate with stakeholders to build scalable, repeatable data processes that support downstream client content production.

Required Qualifications, Capabilities, and Skills:

1. Demonstrated ownership of the data layer within a product suite, with hands-on expertise in at least one major asset class (e.g., fixed income, equities).
2. Proficiency in Python or similar data analysis and transformation tools; experience with Snowflake is highly desirable.
3. Exceptional documentation, analytical, and reasoning abilities.

Preferred Qualifications:

1. Experience in creating data taxonomies, data dictionaries, and data governance models.
2. Competency in managing APIs and data product management.
3. Educational background in Computer Science, Mathematics, Statistics, or a related data field.
4. Relevant certifications such as CFA/CAIA, AWS, Snowflake, or Python.

Join us in shaping the future of asset management through data innovation. Apply now to be part of a team that values creativity, collaboration, and excellence.