SVP Marketing Data Science

New York City, NY (Hybrid)

$164K/yr – $245K/yrSenior Level10+ years expFull time

Posted 5 weeks ago

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Job Summary

Own the end-to-end marketing analytics agenda from model design to business impact, turning cross‑channel data into forecast, budgets, and actionable growth signals.

  • Growth Analytics Leadership: Set the advanced analytics roadmap and identify data-driven opportunities that move marketing metrics and spend decisions.
  • Execution & Data Ops: Manage the full lifecycle of models across multiple data sources, experiments, and deployment with governance.
  • Stakeholder & Impact: Translate complex insights for senior leaders and cross-functional partners to shape marketing strategy and budgets.

Job Description

Responsibilities

  • Advanced Analytics: Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, cross-channel attribution, audience analytics and user journey analytics.
  • Hands on implementation: Leverage multiple analytical approaches, tools and techniques, working on multiple data sources (media channel data, acquisitions data, revenue data, digital data,) A/B testing, incrementality studies addressing business questions through marketing lens
  • Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
  • Strategic Leadership: Lead the development and execution of the marketing advanced analytics roadmap, aligning with overall business objectives and marketing strategies. Provide thought leadership in the application of data science to marketing challenges, identifying new opportunities for leveraging data and analytics to drive growth and efficiency.
  • Lead, mentor, and manage a team of data scientists, fostering their professional growth and technical capabilities, and guide the team in developing appropriate data-driven solutions.
  • Stakeholder communication: Communicate complex analytical concepts and data driven insights clearly and concisely to diverse audiences, including senior leadership, marketing teams, and cross-functional partners.
  • Operational Excellence: Oversee the end-to-end model development lifecycle, from data collection and preprocessing to model building, validation, and deployment. Experience in commercialization and go-to-market for analytics project is a plus
  • Accountability: Ensure the team adheres to best practices in data science, model governance, and ethical data usage and ensure timely and effective deployment of models.
  • Thought Leadership: This role will serve as a subject matter expert in analytics – ability to understand complex business problems, develop analytical approaches to solve them and simplify outcomes for stakeholders. Drive ideation on analytical projects and present actionable recommendations based on data insights to influence strategic marketing decisions.

Requirements

  • 10 plus years’ experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side
  • Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks.
  • Experience with big data technologies, cloud platforms, and data visualization tools (e.g., SQL, Tableau, Power BI, Dataiku).
  • Hands on experience working with complex structured and unstructured marketing data Experience leading predictive modeling using Machine Learning, Deep Learning/ Neural Networks across multiple projects
  • Strong understanding of core AI/ML concepts (e.g., RNN, LSTMs, LLMs, NLP) and ability to identify the optimal solution for any business case
  • Should be able to independently own and project manage workstreams involving multiple stakeholders, show strong sense of accountability and decisiveness in strong work ethic
  • Must be ready for hands on involvement in measurement to identify roadblocks and uncover solutions, operate with curiosity and is hypothesis driven
  • Must be process oriented and organized, operate efficiently to deliver high-quality work in a fast paced and dynamic environment across different teams
  • Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.
  • Tools and Platforms:
  • Proficient in Python / R, Hive / SQL
  • Experience on machine learning frameworks like TensorFlow, PyTorch etc.
  • Good to have: Experience on Gen AI platforms and tools
  • Masters or Bachelor’s degree in Business Analytics, Finance, Statistics. Advanced degree preferred

Preferred

  • Good to have: Experience on Gen AI platforms and tools

Benefits

  • Citi’s offerings may also include, 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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Citi

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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 over 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. For information on Citi’s commitment to privacy, visit on.citi/privacy.

Founded in 1812
New York, New York, US
195K employees (3,957 in marketing)
69% recommend to a friend
70% CEO approval

Traffic Signals

Monthly Visitors
2.3M
Monthly Google Ads Budget
$4.2K
Traffic Source Mix
Search
22%
Direct
42.9%
Referral
34.4%
Social
0.2%
Paid
0.5%

Headcount Trend

Current headcount: ~199.4K

Marketing Team

Marketing Team Size
2,872 (1% of company)
Median Career Experience
20 years
Median Tenure
8.3 years
Marketing Roles Posted (Last 30 Days)
26

Funding

Total Funding
$22.3B
Last Raise
$6.5B
Post IPO Debt, 6 months ago

Funding History

  • Sep 2025
    Post IPO Debt • $6.5B
  • Apr 2025
    Post IPO Debt • $2.8B
  • Nov 2024
    Post IPO Debt • $4.3B

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