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Citi Logo Citi · IT - Software Development

AI Project Lead Analyst

Poland, Warsaw Employment contract 241750.00 - 411650.00 PLN / Year · Job Posted June 29, 2026
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Job Description

The Central AI Operations Vice President will play a critical leadership role in overseeing and delivering the Investor Operations AI book of work, ensuring effective coordination, governance, and scaling of AI initiatives across the organization. This role acts as the central authority across Investor Operations AI activity—aligning use cases, driving consistency in delivery, and enabling reuse of AI capabilities at scale. The individual will guide how AI solutions are designed and implemented, while ensuring alignment with enterprise platforms, standards, and regulatory expectations. A key expectation is strong technical fluency in AI tools, models, and architectures, enabling credible challenge and effective partnership with engineering and data science teams.

Job Responsibility

  • AI Portfolio Management: Own and manage the end-to-end Investor Operations AI book of work, driving prioritization, execution, and measurable value delivery while tracking progress and adoption
  • Solution Oversight: Provide strategic direction on AI solution design, model selection (ML, NLP, LLMs, IDP), and implementation, partnering with technical teams to ensure scalable and practical solutions
  • Enablement & Alignment: Act as the central coordinator for AI initiatives, connecting teams to maximize reuse of models, driving adoption of enterprise platforms, and promoting standardized best practices
  • Governance & Scaling: Lead Model Risk Management (MRM) engagement, ensure solutions meet all regulatory and governance requirements, and identify opportunities to improve and scale operational processes through AI

Requirements

  • Minimum of 7 years of experience in a senior role managing complex technical projects
  • Strong practical understanding of AI techniques such as Machine Learning (classification, regression, clustering), NLP, Large Language Models (LLMs), and Intelligent Document Processing (IDP)
  • Solid knowledge of how AI solutions are built and deployed, including data pipelines, feature engineering, model training, model evaluation (accuracy, precision/recall, drift), and deployment patterns (APIs, batch vs. real-time)
  • Experience with Python-based ecosystems, LLM architectures (e.g., prompting, RAG), and enterprise or cloud AI platforms
  • Proven ability to credibly engage with, and challenge, engineers and data scientists on technical designs and implementation approaches

What we offer

  • Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program)
  • Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates
  • Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates
  • Employee Assistance Program financed by Employer
  • Paid Parental Leave Program (maternity and paternity leave
  • statutory and 2 weeks additional paid paternity leave)
  • Sport Card for employees subsidised via Social Benefits Fund and Sport Cards for certain family members available at preferential rates
  • Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events
  • Additional day off for volunteering
  • Cafeteria/ flex benefit – a company benefits system which enables employees to select and purchase benefits offered by a provider and available for employees on the platform
  • Opportunity to receive an annual discretionary incentive award
  • Special offers and discounts for employees
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