Specialized Analytics Sr. Lead, SVP - Measurement and Insights Analytics

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Job Overview

We are seeking an experienced and highly skilled C14 Analytics Lead to drive Measurement and Insights Analytics for the strategic Commerce Media function. This role will be critical in developing a measurement framework for Commerce Media campaigns and providing insights into the performance and identifying opportunities for refining the targeting and audiences. This role will leverage data-driven insights to develop close loop measurement across channels to provide incrementality tracking and purchase attribution for our advertisers and identify new growth opportunities. The successful candidate will be responsible for leading a team or function focused on in-depth analysis of campaign performance for Commerce media ads and offers and their impact on underlying customer behaviors and development of attribution models and frameworks to deliver detailed insights to advertisers. This position requires a deep understanding of the Commerce Media business, digital ecosystem, strong analytical capabilities, and the ability to translate complex data into actionable business strategies.

Responsibilities:

• Strategic Analytics Leadership: help drive business outcomes through advanced analytics, including but not limited to:
  • Lead and manage the data & measurement roadmap for the Commerce Media Network (e.g., releases, KPIs, owners)
  • Develop and operationalize closed-loop measurement approaches leveraging Citi data and partner signals
  • Identify KPIs from online media data sources (Programmatic, Onsite) and combine them into a single measurement view
  • Drive standardization of post-campaign reporting, and test-and-learn frameworks
  • Develop attribution models and frameworks to establish measurement for Commerce Media campaigns
  • Provide strategic leadership to grow the Commerce Media business through new analytical capabilities and advertisers
  • Build and integrate Gen AI capabilities to accelerate measurement and insights generation
  • Partner with Finance and Product teams to track actuals versus forecast for business growth and revenue on a granular basis
  • Work in a high performing team and develop team members to drive successful outcomes
• Reporting & Insights: Develop and deliver insightful reports, dashboards, and presentations to key stakeholders, translating complex analytical findings into clear, concise, and actionable recommendations.
• Cross-Functional Collaboration: Partner closely with Product Development, Sales, Ad Ops, Audience Analytics, Marketing, and Technology teams to integrate analytical insights into product design, marketing campaigns, and business development initiatives.
• Risk and Controls Governance: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively

Qualifications:

• Minimum Experience: 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 measurement 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, Familiarity with advertising or campaign performance data, ideally across ad servers, web analytics, or DSPs. 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). Familiarity with digital marketing principles such as attribution models (MMM, MTA), incrementality testing, AB testing
• 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 measurement requirements, KPI frameworks, and reporting design
• Leadership & Influence: Proven ability to lead projects, influence cross-functional teams, and drive strategic initiatives.
• 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).
    • Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution)
    • Familiarity with advertising or campaign performance data, ideally across ad servers, web analytics, or DSPs.
  • AI/ML skills: Hands-on experience on attribution models and developing Gen AI solutions
  • Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView).

• Preferred Skills:

• 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.

Education:

• Required: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
• Preferred: Master's degree or PhD in a quantitative field, Business Analytics, or an MBA with a strong analytical focus.

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

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Primary Location:

New York New York United States

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Primary Location Full Time Salary Range:

$192,000.00 - $288,000.00

In addition to salary, 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.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Jun 02, 2026

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