Join Visa - Director of Data Science - CRM and Marketing Analytics

Company Description

Visa is a global leader in payments and technology, facilitating over 259 billion payment transactions annually between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories. Our mission is to connect the world through an innovative, convenient, reliable, and secure payments network, helping individuals, businesses, and economies to thrive. Join a purpose-driven industry leader and experience Life at Visa.

Job Description

Visa is seeking a qualified individual to join our Data Science practice, focusing on marketing measurement, to lead our Data Science Marketing team. This role includes leading model development, data-driven solutions, and advancing measurement capabilities, including automation, visualization, and optimization of Marketing Campaign Measurement, including CRM Campaigns. The ideal candidate will be based in São Paulo and responsible for the measurement of CRM strategy in collaboration with marketing.

Key Responsibilities

• Establish a strategic measurement framework to evaluate marketing campaigns, including methodologies, visualization, and data pipeline automation.
• Develop and implement comprehensive metrics (KPIs and OKR) to measure the success and impact of marketing campaigns.
• Lead the design and execution of experiments to measure various marketing strategies' impact.
• Apply statistical techniques to interpret data and generate insights that influence marketing strategies.
• Ensure data accuracy and integrity through quality control measures.
• Develop and implement automated data pipelines for campaign measurement.
• Collaborate with the marketing team to translate their needs into data-driven solutions.
• Foster a data-driven culture within the marketing team and the wider organization.
• Lead a team of data scientists to drive data-driven decision-making within Marketing.
• Manage the full cycle of Data Science processes from design to performance improvements.
• Continuously monitor and evaluate CRM strategies' effectiveness, recommending improvements.
• Prepare and review materials for monthly Marketing and CRM committees.

Qualifications

Basic Qualifications

• Bachelor's degree in a quantitative field (e.g., engineering, mathematics, science) or business administration. MBA preferred.

Preferred Qualifications

• 12+ years of relevant experience in Analytics and CRM, involving the full campaign execution cycle.
• 7+ years of experience managing teams.
• 10+ years of experience in Banking/Payment, Retail, or Service industries.

Required Skills

• Experience with data visualization and business intelligence tools like Tableau, PowerBI, or Excel.
• Hands-on experience with advanced analytics and statistical modeling, including Linear Regression, Logistic Regression, Clustering methods (e.g., K-means), and Classification methods (Decision Trees/Random Forest).
• Experience with extracting and manipulating large datasets using tools like Hadoop (Hive), Spark, Python, SQL.
• Passionate about automation and data, delivering high-quality work.
• Strong leadership skills with the ability to manage and develop a high-performing team.
• Exceptional problem-solving ability with a strategic focus on impacting ROI.
• Excellent project management, organizational, and presentational skills.
• Strong teamwork, relationship management, and interpersonal skills.
• Ability to manage multiple projects and meet required deadlines.
• Fluency in English/Portuguese (spoken/written); Spanish is a plus.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa will also consider employment for qualified applicants with criminal histories in accordance with EEOC guidelines and applicable local law.

Company Name: Visa

Job Title: Director of Data Science - CRM and Marketing Analytics