Morgan Stanley Wealth Management Strategy & Analytics needs to redesign the LeadIQ ecosystem architecture to enable faster and more effective incorporation of evolving use cases, and to expand its capabilities beyond the application itself.
Requirements
- Experience in building complex, real-time engineering systems involving AI, ML, and NLP with successful delivery to customers.
- Demonstrated track record of technical project delivery for large, cross-functional projects with evolving requirements.
- Computer Science fundamentals in data structures, algorithm design, and Systems Design
- Strong proficiency in programming languages, and expertise in hands-on software/application development
Responsibilities
- Work alongside technology partners to redesign the LeadIQ ecosystem architecture in co-ordination with stakeholder systems & WM Tech to enable a future state able to more rapidly and effectively incorporate the ever evolving & increasing use cases emerging
- Develop, plan for, scope, and ultimately deploy an integrated strategy for service & micro-service-based architecture to further expand the LeadIQ capabilities beyond the application itself
- Identify & integrate additional strategic capabilities within the LeadIQ ecosystem that align with the continued and future enablement of stakeholders and end-users
- Engage stakeholders & Wealth Management Technology to design & scope future state integrations & capabilities within the LLM & GenAI space that have already been identified or that emerge via Firmwide AI use-cases
- Support the LeadIQ ecosystem leadership in problem-solving and solutioning of near-term deliverables to provide faster time-to-market as well as ensure architecture does not drift or deviate from the strategic future state
Other
- Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver business results
- Strong communication skills with the ability to communicate with and educate business leadership, technologists, & data scientists
