Vice President - Data Science And Gen AI
Citi · Pune, India · 1mo ago
The AIM Fraud Operations Analytics team is seeking an experienced, innovative, and people-oriented Vice President to lead our Fraud GenAI team. As a senior leader and subject matter expert in data science and generative AI, you will be responsible for building and leading a high-performing team of data scientists while driving the design, development, and deployment of cutting-edge data science and GenAI-based solutions. This role focuses on transforming fraud operations processes through advanced AI while fostering team growth, cross-functional collaboration, and operational excellence.
Responsibilities:
Leadership & People Management
- Lead, mentor, and develop a team of data scientists, fostering a culture of innovation, experimentation, and continuous learning.
- Provide technical and career guidance, conduct performance reviews, and support talent development and succession planning.
- Build and scale a high-performing Fraud Analytics GenAI team, including hiring, onboarding, and performance management.
Project & Delivery Leadership
- Lead the end-to-end design and implementation of generative AI use cases, from ideation to production.
- Oversee the building and tuning of LLM-based applications using platforms such as Vertex, GPT, Hugging Face, etc.
- Drive robust prompt engineering strategies and the creation of reusable prompt templates.
- Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma), and orchestration tools.
- Collaborate with Technology, Business, and other stakeholders to identify opportunities, prioritize initiatives, and deliver high-impact solutions.
- Manage end-to-end project delivery, ensuring on-time, high-quality outcomes within regulatory and risk frameworks.
Technical & Domain Expertise
- Responsible for model development, validation, and testing of fraud detection models, including statistical analysis, data validation, and model performance evaluation.
- Ensure compliance with regulatory requirements, MRM (Model Risk Management) standards, and industry best practices in fraud detection and GenAI.
- Document model development artifacts for MRM approvals and governance purposes
- Stay current with GenAI trends, research, and advancements in fraud prevention.
- Apply relevant innovations to fraud and risk domain projects (specialization in fraud or risk domain preferred).
Stakeholder Management
- Partner effectively with senior business leaders, technology teams, risk, compliance, and other stakeholders.
- Present complex technical concepts and project updates to both technical and non-technical audiences.
- Influence decision-making and secure buy-in for GenAI and data science initiatives across the organization.
Qualifications:
- 9+ years of hands-on experience in data science or AI/ML roles, with at least 3+ years in a people leadership or team lead capacity.
- Proven track record of designing and developing data science / GenAI-based solutions in production environments.
- Strong programming skills in Python and familiarity with libraries such as Transformers, LangChain, LlamaIndex, PyTorch, or TensorFlow.
- Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases.
- Understanding of MLOps / LLM Ops, model evaluation, prompt tuning, and deployment pipelines.
- Familiarity with regulatory requirements and guidelines related to risk and model validation.
- Strong leadership, project management, and stakeholder management skills with the ability to influence and partner with both technical and non-technical stakeholders.
- Excellent communication and presentation skills.
Education:
- Bachelors/University degree, Master’s degree in Statistics / Technology / Economics preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
------------------------------------------------------
Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.