Citi
Banking
DataProductDevelopment-AI&Analytics-AssistantVicePresident
Neural analysis suggests this role is
optimal for Executive candidates.
“Data Product Development - AI & Analytics- Assistant Vice President at Citi. Skills: Data science, Machine learning, AI, Analytics. Develop and deploy machine learning models. Build and maintain data pipelines”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years of experience in data science or analytics, Proficiency in SQL, Experience with Python or R
Nice to Have
PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Databricks Certified, GCP Professional Data Engineer, AWS Data Analytics, Dbt Certified
What You'll Do.
Develop and deploy machine learning models
Build and maintain data pipelines
Design and implement analytics solutions
Create and manage BI dashboards
Perform quantitative analysis
Collaborate with stakeholders to define data requirements
Ensure data quality and integrity
Stay updated on emerging technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders
Full Job Description
The Team sits within Citi’s Enterprise Data Office and has a focus on serving our business partners across Credit Risk, Market Risk, Liquidity or Capital. This solution design and execution focused product development role will enable implementation of target state processes and data & technology capabilities, through engagement with 1st line teams, Technology, and individual business product teams. **What you’ll do** * Proactively engage in outreach to different business partners to dimension requirements, pair with your knowledge of data availability, and work together to define a product vision for a unified analytics platform * Proactively contribute to the design, coding and deployment of enterprise-wide analytic products on structured and unstructured data * Implement and manage data pipelines and analytical workloads, ensuring efficient data processing * Develop plans, prioritize, coordinate design and delivery of products or features to product release, and serve as a product ambassador within the user community **What we’ll need from you** * Experience designing, and implementing scalable data analytical solutions in a large-scale business environment * 9+ years of experience * Experience in deep analytic focused work leveraging Distributed File System ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). * LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. * Domain experience in Credit Risk, Market Risk, Liquidity or Capital. * Experience in defining data strategy for advanced analytical initiatives, including data governance, sourcing, and ethical considerations, with demonstrated awareness of industry data practices * Strong communication skills, with the ability to present complex technical concepts related to AI and advanced analytics to non-technical audiences effectively * A proactive and self-motivated approach to man
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