VP, B2B Marketing Data Science

Dow Jones

83d • $225,000 - $275,000

About The Position

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world's largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Barron's, MarketWatch, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV). 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.
• Derive actionable insights to execute strategies that drive customer growth and revenue across channels and across the buying lifecycle.
• Measuring impact of marketing and sales activities.
• Multi-touch attribution to understand which channels and touchpoints drive conversions.
• Identifying high value prospects by analyzing firmographics, behavior and transaction history.
• Development of ML models to assign lead scores based on past conversions and engagement patterns and help identify new leads.
• Develop whitespace analysis and build cross-sell and upsell models.
• Collaborate closely with marketing and finance teams to monitor performance against budgets.
• Develop multiple sensitivity scenarios to aid senior leadership in strategic planning.
• Identify clients with high churn risk and help improve retention.
• Build 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.
• Present insights and recommendations to senior executives and stakeholders in a clear and compelling manner.

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
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees