Responsibilities

• Strategic Analytics Leadership: help drive business outcomes through advanced analytics, including but not limited to:
• Develops analytics roadmap for audience development and targeting to improve ad and offer relevance for core use cases such as category, conquesting, loyalty, and lifecycle audiences
• Analyze audience strategy for advertiser relevance to enhance our ability to pitch to various advertisers and meet their targeting needs
• Generate insights on audience composition, behavior, and performance to inform go-to-market strategy
• Help identify new audience offering and custom audience opportunities based on Citi data assets and campaign learnings
• Develop targeting solutions and AI/ML models to drive customer engagement
• Build and integrate Gen AI capabilities to accelerate audience development and insights generation
• Partner with Finance and Product teams to forecast business growth and revenue on a granular basis and track actuals versus forecast
• Work in a high performing team and develop team members to drive successful outcomes
• Cross-Functional Collaboration: Partner closely with Product Development, Sales, Ad Ops, Analytics Measurement, Marketing, and Technology teams to integrate analytical insights into product design, marketing campaigns, and business development initiatives.

Requirements

• Minimum Experience: 6-10 years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry.
• Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including audience capabilities, revenue streams, data strategy and commercialization strategy.
• Digital Media and Marketing Expertise : Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, audience activation platforms (e.g., CDPs, clean room, DSP integrations). Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.)
• Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Experience building audience segments using 1P data, behavioral signals, and transaction data
• Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks.
• Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into audience requirements & segmentation needs
• Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail.
• Technical Proficiency:
• Data Platforms:
• Experience with large-scale data platforms and tools (e.g., Snowflake).

Preferred

• Experience with programming: proficiency in SQL, Python, or R for data manipulation, statistical analysis, and model development.
• Experience with consumer banking products and customer lifecycle analytics.

Benefits

• Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.