Engineering Sr Lead Analyst
Listed on 2026-01-12
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IT/Tech
Data Engineer, Data Science Manager
Engineering Senior Lead Analyst
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Citibank, N.A. seeks an Engineering Senior Lead Analyst for its Tampa, Florida location.
DutiesBuild and deploy AI-based Guardrail solutions for Generative AI to protect the enterprise against data leakage, jailbreak, prompt injection with millisecond response latency while serving multi-thousands of requests per minute. Architect, engineer, and maintain analytics services comprising open-source and commercial tooling for enterprise use cases leveraging private & public cloud container technologies like Blue Data / HP Ezmeral, Red Hat Open Shift, GKE.
Orchestrate and manage accelerated analytics infrastructure including GPU hardware and related software suites for the enterprise. Engineer and maintain big data analytics components, including ingestion and consumption leveraging tools like Datameer, Anaconda, R. Certify and manage enterprise-wide deployments of open-source components adhering to enterprise risk management frameworks. Deploy commercial AI and machine learning tools such as Data Robot, Dataiku, H2O, Jupyter Notebooks, and Python/R distributions.
Facilitate and participate in functional and technical evaluations of new technologies deployed internally and externally in coordination with multiple stakeholders. Build architecture and engineering processes for life cycle maintenance of business intelligence products like Micro Strategy, IBM Cognos, and integration with data warehouse and data lake solutions. Create turnkey analytics service solutions including hybrid infrastructure spanned across data center and public cloud for business application consumption.
Oversee implementation of robust event-driven architecture for real-time application and analytics, inventory management, and capacity planning for hardware and software consumption. Evaluate and remediate security vulnerabilities in service deployments ensuring compliance with enterprise security commitments. Create automated workflows to provide a uniform autonomous experience for business provisioning, operations, and maintenance of scalable distributed platforms. Define patterns to facilitate seamless data consumption layers from multiple storage platforms like HDFS, RDBMS, and object stores for modeling and analytics workloads within enterprise security standards.
Foster business application adoption of modern toolsets and provide guidance for modern hardware acceleration layer implementation. Provide fault-tolerant, highly available solutions that comply with organizational disaster recovery standards. Implement end-to-end security for data in motion and ategize continuous delivery pipelines for business artifacts while integrating with standard development tools that include Jfrog Artifactory, Jenkins, BMC RLM, and Git. Provide necessary validation layers to meet regulatory guidelines for the firm.
A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Requires a Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Data Engineer, Technical Consultant, or related position in a global technology consulting and software services organization. 6 years of experience must include: deliver turn‑key data analytics services using hybrid infrastructure spanned across data center and public cloud platform(s) for application and end-user consumption;
engineer and product ionize analytics services using private cloud container technologies like Blue Data / HP Ezmeral or similar; design and develop Artificial Intelligence & Machine Learning solutions offering tools and capabilities including Data Robot, Dataiku, H2O, GPUs; enable self-service analytics solution using Arcadia Data or similar over distributed data storage platforms, including HDFS, Hive; engineer integrations of analytics tooling including Dataiku and similar with federated data platforms like Starburst and…
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