VP, B2B Marketing Data Science at Dow Jones

New York, New York, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Media, PublishingIndustries

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

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

Skills

Key technologies and capabilities for this role

Data ScienceAIAdvanced AnalyticsMarketing AnalyticsMulti-touch AttributionCustomer SegmentationTargetingFirmographics Analysis

Questions & Answers

Common questions about this position

What is the location for this VP, B2B Marketing Data Science role?

The role is based in New York.

What salary or compensation is offered for this position?

This information is not specified in the job description.

What key skills are required for the VP, B2B Marketing Data Science role?

The role requires advanced analytics techniques for large customer datasets, machine learning models for lead scoring, churn prediction, and lifetime value, multi-touch attribution, forecasting, and dashboard development.

What does the team structure look like for this position?

The role reports to the Senior Vice President of Marketing Data Science & Technology and involves leading the establishment of B2B marketing data science capabilities from the ground up.

What makes a strong candidate for this VP role?

A strong candidate is a seasoned data science professional with experience leading data-driven marketing and sales strategies, building ML models for B2B contexts, and collaborating with cross-functional teams like marketing, sales, product, and finance.

Dow Jones

Provides business news and financial data

About Dow Jones

Dow Jones provides business news, financial information, and data intelligence to financial firms, professionals, and investors globally. Its main products include the Wall Street Journal, Dow Jones Newswires, and Factiva, which offer timely news, exclusive insights, and comprehensive data sets. Additionally, Dow Jones offers risk and compliance solutions to help businesses navigate issues like anti-money laundering and economic sanctions. Unlike many competitors, Dow Jones focuses on a subscription-based model, data licensing, and advertising revenue, utilizing its extensive media and data resources to equip clients with the necessary information for informed decision-making.

New York City, New YorkHeadquarters

1881Year Founded

ACQUISITIONCompany Stage

Fintech, Financial ServicesIndustries

5,001-10,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Comprehensive Healthcare Plans

Comprehensive Medical, Dental and Vision Insurance Plans

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Time Off

Paid Vacation

Paid Maternity and Paternity Leave

Family Care Benefits

Family Care Benefits & Caregiving Support

Commuter Transit Program

Subscription Discounts

Employee Referral Program

Education Benefits

Retirement Plans

Comprehensive Insurance Plans

Lifestyle programs & Wellness Resources

Risks

Competition from digital-native platforms like Bloomberg and Reuters is increasing.

AI-generated content threatens traditional journalism models.

Subscription fatigue may impact Dow Jones' revenue model.

Differentiation

Dow Jones offers a unique blend of news, data, and risk compliance solutions.

The Wall Street Journal is America's largest newspaper by total average circulation.

Dow Jones provides content in 28 languages, enhancing global reach.

Upsides

Increased demand for real-time financial news boosts subscription-based services.

AI-driven journalism tools enhance content creation and personalization.

Growing importance of ESG data creates opportunities for expanded offerings.

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