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Securities Services - Depositary Product Data Architect - Vice President

JPMorgan Chase & Co.
Dorset
1 month ago
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Job Summary:

We are seeking a data strategist to serve in the capacity of VP Depositary Product Data Architect within the Depositary Services Product Management organisation. In this role, working alongside Product Development and Technology, you will be responsible for leading the development and delivery of the data strategy for Depositary Services that will help bring about our business objectives and support delivery of an up to date technology platform that is AI ready. 


You will collaborate with cross-functional stakeholders to embed data as a foundational pillar in driving our operational efficiency, evidencing regulatory compliance and enabling future innovation within the Depositary Services Product.


Job responsibilities:

Lead the creation and execution of a cohesive data strategy for Depositary Services, aligned with Securities Services Data Strategy goals and transformation initiatives. Define and operationalise core data management capabilities and embed them in Product Delivery Roadmap projects; document and rationalise the Depositary Product Data Model to optimise data sourcing, data processing and Depositary Services outcomes for analysis and reporting. Define and publish business definitions of data attributes, data glossaries, meta data, business data quality rules.  Lead for Depositary Product a definition of reference data, data ingestion and normalisation needs and solutions enabling the take down of HSCE and the long term storage of valuable data in the Securities Services Data Lake (SSDL) Implement data governance, data quality, and data stewardship models tailored to Depositary Services operations and regulatory needs to support the Depositary Services Product Data Owner (CDO) to oversee the quality, governance and management of the product data assets. Attend the In-Business CDO Governance Forum.  Participate in the leadership of cross product technology related projects to ensure that initiatives are enabled with a data-driven foundation, using the data strategy to guide, inform, and steer execution. Deliver a well-structured and scalable data landscape leveraging the Securities Services Data Lake that empowers effective decision-making and the measurement of business outcomes defining Depositary Services DS, ODS & SSDL. Leverage Securities Services Data Management policies and best practices, and partner with others to ensure that the Depositary Product activities are conducted with an awareness of CIB wide strategies and solutions. Foster data-centric culture in the business by promoting value of data and encouraging its use across the business establishing data retention and date destruction policies and processes. Identify adoption avenues for AI tools and technologies and their application to Depositary Services use cases to frame early decisions on Data Models and data stored in the SSDL that position us for future adoption of AI.

Required qualifications, capabilities, and skills:

Relevant education such as a bachelor’s or master’s degree in data science, computer science, data analytics or a related field the successful candidate will have: Experience in lead roles within data strategy in the financial services industry with a track record of solution ideation, problem solving and team building skills. An ability to articulate your deep understanding of data management principles, appropriate governance frameworks, and data lifecycle management to non-Data Architect management and staff. Strong knowledge of AI, ML and predictive analytics with experience of applying these to business challenges. An understanding of regulatory and control landscape and its impact on strategy and delivery; insight to the Depositary Bank product under UCITS / AIFMD an advantage. A long track record of being a team player exhibiting good communication skills and the ability to effectively interact with partners, senior non-Technology managers and other key stakeholders across the Securities Services Data Strategy teams. Excellent solution ideation, problem solving and team skills.

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