Role overview:
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.
Key responsibilities:
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.
We offer:
By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include:
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
Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract:
https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/RemunerationRegulations-KeyProvisions-CitibankEurope_plc_05012025_A.pdf
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
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Job Family Group: Operations - Core------------------------------------------------------
Job Family:Operations Project Management------------------------------------------------------
Time Type:Full time------------------------------------------------------
Primary Location Full Time Salary Range:zł241,750.00 - zł411,650.00------------------------------------------------------
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.
Skills Required
- 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.
- Experience with Model Risk Management (MRM), regulatory and governance requirements for AI solutions.
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
