3 дня назад
Data Analytics Engineer (AI)
114 500 - 194 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analytics Engineer (AI): Designing data-driven AI solutions and target-state technology architectures for complex business needs with an accent on ML, GenAI, database architecture, and data security. Focus on leading architecture proofs of concept, defining technology roadmaps, reducing technical debt, and coordinating delivery with stakeholders and global teams.
Location: Chicago, IL, United States; onsite full-time role
Salary: $114,500–$194,700 USD per year
Company
provides wealth management, asset servicing, asset management, and banking services, supported by more than 135 years of financial experience and over 24,000 employees.
What you will do
- Design, document, review, and negotiate data strategies supporting business and technology goals.
- Lead technology proofs of concept and provide architecture direction for engineering teams.
- Define target-state technology architectures, patterns, and roadmaps aligned with IT initiatives.
- Drive technology transformation, improve architecture efficiency, and reduce technical debt.
- Manage stakeholder and executive relationships while maintaining client satisfaction.
- Collaborate with Agile and global teams across planning, requirements, execution, testing, and project launches.
Requirements
- Bachelor’s degree in Computer Science or a related discipline.
- Several years of advanced technical, business, and functional experience in data analytics and systems analysis.
- Advanced experience with ML, AI, and GenAI for data-driven business solutions.
- Expert knowledge of relational and dimensional databases, database architecture, ontology and taxonomy design, and relational and NoSQL data stores.
- Experience with application development, programming languages, project feasibility, requirements definition, solution design, and project leadership.
- Must be authorized to work in the United States without current or future employment-based visa sponsorship.
Nice to have
- Investment management or asset management experience.
- Experience driving organizational change, transformation, and process improvement.
Culture & Benefits
- Flexible and collaborative work culture with accessible senior leadership.
- Internal mobility and professional growth opportunities.
- Retirement benefits, including 401(k) and pension.
- Medical, dental, vision, spending account, disability, life, and accident insurance.
- Paid time off, parental and caregiver leave, and additional well-being benefits.
- Discretionary bonus program that may include an equity component.
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