Citi
Website:
citigroup.com
Company:
https://www.linkedin.com/company/citi
Seniority: Not Applicable
Industries: Banking, Financial Services, and Investment Banking
Job details:
Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At
Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.
Shape your Career with Citi
We’re currently looking for a high caliber professional to join our team as
AVP - Marketing Data Science – Hybrid (Internal Job Title:Dig Mkt Analytics Sr Analyst - C12 ) based in Mumbai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:
- Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
- We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
- We empower our employees to manage their financial well-being and help them plan for the future.
- Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
- We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.
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.
The AVP, Marketing Data Science is a highly experienced and senior role, and part of the larger media sciences team in the Client Org and report to the SVP Marketing Data 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.
In this role, you’re expected to:
- Hands on Implement on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the business
- This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call reports, email etc.) to provide data driven insights to business and functional stakeholders
- Support the development and execution of Citi’s media measurement framework, including performance reporting, attribution strategy and incrementality testing and analyses
- Stakeholder management: Partner closely with internal stakeholders in media, adtech, product and across LOBs to help enable data driven decision making for media strategy and optimization and identify their measurement requirements.
- Operational Excellence: Manage the attribution measurement and reporting process for all lines of business, overseeing all aspects including report QA, insights generation and sharing up to senior stakeholders
- Presentation and Data Storytelling: Pull together insights from analysis, and be able to create presentations showing the measurement and presentation of business impact of analytical solutions
- Calibrate media performance from across multiple data sources and reports to provide a clear media performance narrative, translating data into clear and actionable insights for senior stakeholders
- Accountability: Own and support the development of measurement roadmap, media test and learn agenda, and advanced analytics studies for cross-channel measurement
- Vendor Management: Cultivate and lead strategic relationships with key measurement and media vendors, driving measurement priorities and roadmap, testing in pilots. Meet with vendors and develop a deep understanding of different methodologies to help evaluate and support the development of innovative and future proof measurement solutions.
- Thought Leadership: This role will serve as a subject matter expert in measurement – ability to speak to different measurement methodologies, measurement landscape and industry changes. Simplify complex measurement terminology into compelling narrative for senior stakeholders across the org.
As a successful candidate, you’d ideally have the following skills and exposure:
- 5-8 years’ experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side
- Hands on experience working with complex structured and unstructured marketing data 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
- Experience working with Large Language Models
- Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, customer behavior, and market trends.
- Build and maintain robust marketing mix models (MMM), attribution models, and other measurement frameworks to quantify the impact of marketing investments across various channels.
- Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
- Conduct in-depth analysis of customer segmentation, lifetime value (LTV), and churn prediction to personalize marketing efforts and improve customer retention.
- Highly analytical, with a proven ability to distill data and numbers into business outcomes, derive and communicate strategic insights and implications for senior leadership
- Outstanding data storytelling skills, communication, presentation, and negotiation skills, capable of influencing and engaging executive-level stakeholders across a matrixed organization.
- 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
- Excellent attention to detail, organization skills and strong presentation skills to senior level leadership stakeholders
- Exceptional strategic thinking, problem-solving, and decision-making capabilities, with a focus on long-term impact.
- 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
Education:
- Masters or Bachelor’s degree in Business Analytics, Finance, Statistics. Advanced degree preferred
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Take the next step in your career, apply for this role at Citi today
https://jobs.citi.com/dei
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Job Family Group:
Marketing
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Job Family:
Digital & Social Media Marketing
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Time Type:
Full time
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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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