Technical Lead - Sr. Level

Posted 4 Days Ago
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Chicago, IL
Expert/Leader
Artificial Intelligence • Cloud • Database • Analytics
The Role
The Technical Lead will oversee projects with a focus on implementing CRM and Salesforce systems while leveraging Python and React. They will ensure the development of processes, maintain documentation standards, and manage project activities within an Agile framework, and apply knowledge of asset and wealth management operations.
Summary Generated by Built In

Chicago - Hybrid
At least 12+ years
Mandatory Skills

  • Background of Python and React
  • Must have experience in implementing CRM/Salesforce related projects
  • Some exposure to AI/GenAI
  • Good comm skills
  • Asset/Wealth management experience


Other skills/tasks

  • Experience working in a technical role 
  • Develop processes and procedures for operational tasks
  • Experience in Developing overall IT Design
  • Understanding of complex architecture patterns and translating these into technical implementations
  • Ensure internal process and documentation standards are maintained
  • Identify project needs and required tasks, organize project activities
  • Experience with the Agile development process
  • Expertise in project and resource management, with a proven ability to assess and enhance existing applications for technical improvements

Top Skills

Python
React
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The Company
Cupertino, California
9 Employees
Hybrid Workplace
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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