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The Engineering Lead Analyst is a senior level position responsible for leading a variety of engineering activities including the design, acquisition and deployment of hardware, software and network infrastructure in coordination with the Technology team. The overall objective of this role is to lead efforts to ensure quality standards are being met within existing and planned framework.
Job Responsibility:
Develop foundational components and mature technology capabilities for data engineering in AI and LLMs
Work in a fast-paced environment tackling cutting-edge problems by constantly testing and learning
Understanding of large language models, transformers, agentic frameworks
Gather, analyze, and reconcile large datasets from multiple sources to support regulatory closure documentation and internal reporting
Design and maintain PowerPoint decks and reporting materials used to brief senior leadership on key data trends, issues, and resolution timelines
Communicate effectively across all levels of the organization, translating complex data findings into clear, actionable insights
Deliver concise, well-structured presentations to Senior Leadership that support strategic decision-making
Foster collaboration across cross-functional stakeholders to ensure clarity and transparency in data reporting and closure documentation processes
Take ownership of assigned tasks, training, and execution with precision and timeliness
Ensure alignment and compliance with Citi Data Governance Policies, Standards and Procedures
Identify problem causality, business impact and root causes
Impact the AI development function by influencing decisions through advice, counsel or facilitating services
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
Requirements:
6+ years of relevant experience in an Engineering, Python Development, Data Architecture or Data Pipeline role
Experience working in Financial Services or a large complex and/or global environment
Experience with data engineering and data analysis using Python, AI LLM modules
Consistently demonstrates clear and concise written and verbal communication
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
Demonstrated analytic/diagnostic skills
Ability to work in a matrix environment and partner with virtual teams
Ability to work independently, multi-task, and take ownership of various parts of a project or initiative
Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
Proven track record of operational process change and improvement
Bachelor’s degree/University degree or equivalent experience
What we offer:
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards