Citi Group SVP Data Analytics - Sr Lead Analyst AI Strategy Hybrid 

United States, Texas, Houston 

381900605

Responsibilities:

• Stand-up a program to manage the glidepath to achieve the scalable application of AI capabilities to the operational risk management and compliance risk management data sets
• Lead analysis through collection, analysis, review, documentation and communication of business needs and requirements, to understand requirements and aligning to standards to drive appropriate solutions; acts as an advisor other teams on operational or process related enhancements and decisions.
• Independently analyzes large and complex datasets to support the design of analytics-driven solutions, including the development of data visualization tools and sophisticated reporting, to enhance senior decision making.
• Assess the current and target state data needs to support the sustainable generation of advanced analytics and data-driven insights
• Define operating model enhancements required to improve our data environment
• Conduct analyses to inform analytical and AI tool selection, manage portions of the implementation, and inform/manage the training of AI models
• Inform the AI use case catalogue and its prioritization for Operational Risk Management
• Responsible for the overall direction, coordination, implementation, execution, control, and completion of data driven projects and various reporting solutions.
• Identifies opportunities to enhance and leads the implementation of common data and data standards, common processes, and integrated technology platforms.
• Drives analysis and presents findings in various senior forums including stakeholder discussions and regulatory engagements; ensures findings and analyses are disseminated in a polished manner that is easily understood by Operational Risk and business professionals at all levels.

Qualifications:

• 10+ years of relevant experience in Banking, Finance, or related consulting with a focus on data analysis.
• Experience leading analytical programs with a focus on data science, data analysis, and artificial intelligence.
• Demonstratable experience building data models and/or use of analytics tools/applications for more advanced use cases.
• A penchant for story telling using data and visualizations to socialize findings and insights to key executives and stakeholders.
• Strong written and verbal communications skills including the ability to track deliverables, and articulate complex problems and solutions through concise and clear messaging; developed communication and diplomacy skills are required to guide, influence, and potentially convince others, in particular colleagues in other areas and occasional stakeholders.
• Ability to effectively prioritize projects and the skills to adapt quickly to new challenges and concepts; capable of navigating ambiguity and problem-solving complex issues in a heavily matrixed corporate environment.
• Experience as a Program Manager or demonstrated experience working within large, strategic cross-functional teams to identify stakeholders, understand business needs, and drive decision-making or resolution.
• Highly organized and motivated self-starter with strong attention to detail and a teamwork oriented approach
• Strong interpersonal skills with the ability to work collaboratively and with people at all levels of the organization within and across project teams, functions and business units.
• Proficiency in MS Office applications (advanced expertise in Excel, SharePoint, Teams a plus).
• Proficiency in Tableau preferred.

Education:

• Degree in finance, accounting, analytics, operations research, statistics, mathematics, or related data science or finance / economics with relevant work experience. Master’s degree preferred.
• Relevant certifications a plus.

Anticipated Posting Close Date:

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