Citi Group VP Spend Engagement Analytics Lead Hybrid 

United States, Delaware, Wilmington 

982633631

Key Responsibilities:

• Lead analytics for Spend Engagement programs to grow Citi cards customer engagement with new & relevant product offers using advanced modelling and analytical techniques.
• Develop analytically derived omni-channel targeting, offer, and communication strategies to drive long-term profitable customer engagement and expansion opportunities.
• Partner with Modeling team to drive modeling roadmap for the program. Lead modeling and strategy approval across all the governance forums
• Own campaigns targeting and design to optimize profitability and manage the process to build financial forecasts supporting all Spend Engagement campaigns,
• Oversee the monthly FYF and annual Plan forecasting by coordinating with marketing partners and lead the analytics decision management framework to drive investment decisioning.
• End to end project management for developing strategy, building consensus with functional and senior stakeholders and implementing recommendations
• Be accountable for audit and control requirements

Education and Experience:

• Bachelor's degree in a quantitative discipline is required (i.e., Engineering, Economics, Statistics, Mathematics, and Operations Research). Graduate degree preferred.
• 6-10 years of experience in business/marketing analytics and campaign measurement
• Technical skills: SAS, Python, Hadoop, Hive

Domain Skills

• Experience in financial services/credit cards required
• Prior experience in building and implementing Customer engagement strategy is highly desirable

Analytical Skills

• Strong logical reasoning ability
• Demonstrated excellent ability to translate business questions into analytical framework to generate meaningful insights
• Excellent analytical, technical and/or statistical skills with proven ability to translate large volumes of data using SAS, SQL or Python/R
• Experience in usage of different analytical techniques, like segmentation, predictive modeling, time series forecasting, hypothesis testing, optimization etc.
• Established competency in working with data from multiple sources

Soft Skills

• Intellectually curious, consistently seeking and developing new opportunities
• Adept at building relationships and collaborate with people across all levels and cross functional teams
• Effective organizational skills and ability to simultaneously manage multiple projects
• Strong written and verbal communication/presentation skills
• Comfortable on working with ambiguity and open-ended questions

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Anticipated Posting Close Date:

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