The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the Head of Media Science. This role will primarily perform advanced analytics on data from the clean room, marketing data analytics, audience analytics, creative analysis, consumer journey, attribution and scenario planning. This pivotal role will be responsible for leading advanced analytics initiatives and developing sophisticated measurement models to optimize marketing spend and drive demonstrable business impact. The successful candidate will be a strategic thinker with deep expertise in data science, marketing analytics, and a proven track record of translating complex data into actionable insights for senior stakeholders. This role will involve leading a team of data scientists, providing technical guidance, and fostering a culture of innovation and data-driven decision-making within the marketing function.
The Media Sciences team leads the transformation of Citi’s media investment and measurement, while delivering positive return on marketing investment and future-proofing our business. The team works in close partnership with US and Global Digital Media, Analytics, Acquisitions, Advertising and Product Management teams.
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.
* 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 supervise the activity of others and create...
Want jobs like this matched to you?
Swoopd scores fresh postings against your résumé so you only see the matches that matter.