Enterprise Architect

job summary:

The Chief Data Architect for Personal Investor Technology shapes and evolves the data architecture for key US Direct Investor data domains (e.g client, account, transactions) across operational and analytical fields of use as well as future AI-driven capabilities. This role will help align the data lake and engineering function and integrate data models, products, and platforms into a unified and scalable intelligence layer that enables superior client and business outcomes.

The Chief Data Architect provides architectural leadership across cloud data platforms to operational and analytical data product engineering teams. The architect also partners with senior leaders and architects across sub-divisions to develop data architectures and strategies across Client Business Lines, including Personal Investor, Advice Wealth Management (AWM), and Workplace that enable key enterprise capabilities like One Client Crossover/Rollover and Enterprise Data Architecture strategic priorities.

In this role you will:

Lead cross-division semantic data modeling and metadata development for key US Direct Investor (USDI) data domains (e.g. Client, Transaction) for operational, AI, and analytical fields of use, considering conceptual and physical data models

Define and govern the logical and physical data architecture(s) for the USDI platform that enables APIs, bulk access, Supergraph and event-driven platforms, from operations to the lakehouse and unified core data products.

Advance Data Platform of the Future architecture in coordination with a modern USDI Data & Intelligence Platform

Lead development and governance of architecture directives and standards across data engineering that result in improved data quality and reliability and enhanced metadata management; creates and maintains best practices and learnings, providing coaching to teams on the strategy.

Ensure alignment with enterprise AI-Ready Data strategy; coordinate with Client's Chief Technology Office (CTO) and CDAO to solution for gaps in enabling capabilities

Explore AI use cases for data engineering and analyst roles; develop technical direction for virtual analyst/generative insights capabilities

Provide senior-level data architecture thought leadership to Personal Investor Technology Leadership table for the purpose of advancing proposed architecture solutions

Participate in governance team discussions and provides a robust voice on critical decisions

Utilize superior leadership skills, especially in the areas of persuasion, influence, conceptual thinking, and problem solving

Coach and mentor architects, Technical Leads

Participate in special projects and perform other duties as assigned

location:
Malvern, Pennsylvania

job type:
Contract

salary: $56.71 - 61.71 per hour

work hours: 8am to 5pm

education:
Bachelors

responsibilities:

In this role you will:

• Lead cross-division semantic data modeling and metadata development for key US Direct Investor (USDI) data domains (e.g. Client, Transaction) for operational, AI, and analytical fields of use, considering conceptual and physical data models
• Define and govern the logical and physical data architecture(s) for the USDI platform that enables APIs, bulk access, Supergraph and event-driven platforms, from operations to the lakehouse and unified core data products.
• Advance Data Platform of the Future architecture in coordination with a modern USDI Data & Intelligence Platform
• Lead development and governance of architecture directives and standards across data engineering that result in improved data quality and reliability and enhanced metadata management; creates and maintains best practices and learnings, providing coaching to teams on the strategy.
• Ensure alignment with enterprise AI-Ready Data strategy; coordinate with Client's Chief Technology Office (CTO) and CDAO to solution for gaps in enabling capabilities
• Explore AI use cases for data engineering and analyst roles; develop technical direction for virtual analyst/generative insights capabilities
• Provide senior-level data architecture thought leadership to Personal Investor Technology Leadership table for the purpose of advancing proposed architecture solutions
• Participate in governance team discussions and provides a robust voice on critical decisions
• Utilize superior leadership skills, especially in the areas of persuasion, influence, conceptual thinking, and problem solving
• Coach and mentor architects, Technical Leads
• Participate in special projects and perform other duties as assigned