The Applications Development Technology Senior Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
- Lead integration of functions to meet goals, deploy new products, and enhance processes
- Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
- Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
- Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
- Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
- Consult with end users to identify system function specifications and incorporate into overall system design
- Allocate work, and act as an advisor/coach developers, analysts, and new team members
- Influence and negotiate with senior leaders and communicate with external parties
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Role Qualifications:
- 15+ years of progressive experience in software development, Strong hands-on experience with enterprise-level Java development, including Spring Framework (Spring Boot, Spring Cloud) and related ecosystems; and Deep understanding and hands-on experience with data architecture principles, including relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka).
- At least 5 years in a Solution Architect experience.
- Proven hands-on experience with Python for data manipulation, scripting, machine learning, and backend development.
- Demonstrable hands-on experience with Generative AI concepts, frameworks (e.g., TensorFlow, PyTorch), and practical application of large language models (LLMs), natural language processing (NLP), and machine learning (ML) models.
- Experience with cloud platforms (e.g., AWS, Azure, GCP), including understanding of cloud-native services and serverless architectures.
- Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks.
- Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Strong analytical and problem-solving abilities.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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