VP, B2B Marketing Data Science

Dow Jones • New York, NY

75d • $225,000 - $275,000

About The Position

Reporting to the Senior Vice President of Marketing Data Science & Technology, this role will spearhead the development of marketing data science strategies for our B2B lines of businesses and products. This seasoned data science professional will establish these capabilities from the ground up for the B2B area. They will lead the development and implementation of foundational data-driven marketing & sales strategies in the B2B businesses, leveraging data science and AI.

Requirements

• 15+ years experience in marketing data science, with a strong focus on B2B.
• Degree in a quantitative field such as Data Science, Statistics, Mathematics, or related disciplines.
• Experience in the media industry is good to have.
• Experience using media mix models and data visualization tools like Tableau.
• Expertise in data-driven decision-making, with hands-on experience in leveraging data to optimize marketing performance.
• Hands-on expertise in advanced analytics, data mining, forecasting, and predictive analytics.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong business acumen and the ability to effectively communicate complex concepts to non-technical stakeholders.

Responsibilities

• Utilize advanced analytics techniques to analyze large volumes of customer data, including industry information, transactional data and competitive insights.
• Measure impact of marketing and sales activities through multi-touch attribution to understand which channels and touchpoints drive conversions.
• Identify high value prospects by analyzing firmographics, behavior and transaction history.
• Develop ML models to assign lead scores based on past conversions and engagement patterns and help identify new leads.
• Collaborate closely with marketing and finance teams to monitor performance against budgets and develop multiple sensitivity scenarios to aid senior leadership in strategic planning.
• Identify clients with high churn risk and help improve retention by building lifetime value models for pricing and risk management.
• Build a suite of relevant dashboards to monitor key performance indicators and insights.
• Work closely with cross-functional teams, including marketing, sales, product, and finance, to understand their business needs and translate them into data-driven solutions.

Benefits

• Comprehensive Healthcare Plans
• Paid Time Off
• Retirement Plans
• Comprehensive Insurance Plans
• Lifestyle programs & Wellness Resources
• Education Benefits
• Family Care Benefits & Caregiving Support
• Commuter Transit Program
• Subscription Discounts
• Employee Referral Program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees