VP, B2B Marketing Data Science

Job Description:

Vice President B2B Marketing Data Science

Dow Jones New York

About Our Organization:

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 worlds largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal Americas largest newspaper by paid circulation; Barrons MarketWatch Investors 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).

About the Role:

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.

Responsibilities:

• Data-driven Marketing Strategies: 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.
• Marketing Measurement & Attribution: Measuring impact of marketing and sales activities. Multi-touch attribution to understand which channels and touchpoints drive conversions
• Segmentation and Targeting: Identifying high value prospects by analyzing firmographics behavior and transaction history
• Lead Generation & Optimization: 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.
• Forecasting and Budgeting : Collaborate closely with marketing and finance teams to monitor performance against budgets. Develop multiple sensitivity scenarios to aid senior leadership in strategic planning
• Churn Prediction & Retention: Identify clients with high churn risk and help improve retention. Build lifetime value models for pricing and risk management.
• Dashboards: Build a suite of relevant dashboards to monitor key performance indicators and insights.
• Stakeholder Collaboration: 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.

You Have:

• 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.

Our 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

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Reasonable accommodation: Dow Jones Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity or expression pregnancy age national origin disability status genetic information protected veteran status or any other characteristic protected by law. EEO/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application due to a disability email us at Please put Reasonable Accommodation in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Business Area:

Dow Jones - CMO - Marketing

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role

Pay Range: $225000 - $275000

We recognize that attracting the best talent is key to our strategy and success as a company. As a result we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect and we tailor our offers within the range based on the selected candidates experience industry knowledge location technical and communication skills and other factors that may prove relevant during the interview process.

Pay-for-performance is a key element in our strategy to attract engage and motivate talented people to do their best work. Similarly to salary for bonus eligible roles targets are set based on a variety of factors including competitive market practice.

For benefits eligible roles in addition to cash compensation the company provides a comprehensive and highly competitive benefits package with a variety of physical health retirement and savings caregiving emotional wellbeing transportation and other benefits including elective benefits employees may select to best fit the needs and personal situations of our diverse workforce..