Senior Manager, Marketing Data Science & Modeling

📌 Core Information

🔹 Job Title: Senior Manager, Marketing Data Science & Modeling

🔹 Company: Dow Jones

🔹 Location: NYC - 1211 Ave of the Americas

🔹 Job Type: Full-Time, Hybrid (3 days on-site)

🔹 Category: Data Analytics & Business Intelligence

🔹 Date Posted: May 23, 2025

🔹 Experience Level: 10+ years

🔹 Remote Status: On-site (3 days per week)

🚀 Job Overview

Key aspects of this role include:

• Leading marketing data science initiatives to optimize performance and improve ROI
• Developing and scaling the marketing technology stack for advanced analytics
• Collaborating with cross-functional teams to drive strategic decision-making
• Mentoring and developing junior team members
• Working in a dynamic, global news and information provider environment

ASSUMPTION: This role requires a balance of technical depth and strong stakeholder engagement skills, with a focus on driving business impact through data-driven insights.

📋 Key Responsibilities

✅ Predictive Modeling & Machine Learning: Design, build, and deploy predictive models and machine learning solutions to power key marketing initiatives, including churn prediction, customer lifetime value, pricing optimization, and next-best-action recommendations.

✅ Media Mix Modeling & Optimization: Develop and maintain models to assess marketing spend effectiveness across channels and customer segments. Lead data integration, harmonization, and attribution efforts to support robust modeling.

✅ Data-Driven Strategy Development: Analyze large-scale customer datasets to uncover actionable insights and translate findings into strategic recommendations for campaign targeting, messaging, and channel optimization.

✅ Customer Segmentation & Lifecycle Analytics: Create advanced segmentation models to inform targeting, retention, and cross-sell/upsell strategies. Partner with marketing teams to activate segments across lifecycle touch points and evaluate performance over time.

✅ Model Deployment & Enablement: Operationalize models by embedding them into marketing workflows and tools. Collaborate with marketing operations and engineering to ensure model adoption, integration into platforms, and performance monitoring post-deployment.

✅ Team Leadership & Strategic Influence: Mentor junior team members and foster a culture of experimentation, rigor, and business alignment. Shape the marketing analytics roadmap and advocate for data-informed decision-making across functions.

✅ Cross-Functional Collaboration: Act as a trusted advisor to partners in marketing, product, finance, and executive leadership. Align on objectives, share insights in a clear and compelling way, and influence high-level strategic planning through analytics.

ASSUMPTION: This role requires a strong understanding of both data science techniques and marketing principles to drive meaningful impact.

🎯 Required Qualifications

Education: Degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or similar

Experience: 10+ years of experience in data science, marketing analytics, business strategy, or related disciplines, with 5+ years managing complex technical projects in fast-paced environments with multiple stakeholders

Required Skills:

• Deep expertise in predictive modeling, machine learning, forecasting, and advanced analytics techniques
• Hands-on experience building media mix models, including data integration, attribution modeling, and scenario planning
• Proficiency in Python or R, and strong SQL skills
• Familiarity with modern marketing stacks, including CRM, CDPs, marketing automation, and analytics platforms

Preferred Skills:

• Experience with media pricing analytics and subscription-focused business models

ASSUMPTION: Candidates should have a strong foundation in data science techniques and a solid understanding of marketing principles to succeed in this role.

💰 Compensation & Benefits

Salary Range: $140,000 - $170,000 per year

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

Working Hours: Full-time, with a hybrid work arrangement requiring on-site presence three days per week

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles and experience levels. The actual offer may vary based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors.

📌 Applicant Insights

🔍 Company Context

Industry: 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. It is home to leading publications and products, such as the Wall Street Journal, Barron's, MarketWatch, and Factiva.

Company Size: Dow Jones has 1,001-5,000 employees, providing a mid-sized company environment with ample opportunities for collaboration and growth.

Founded: Dow Jones was founded in 1882 and has a rich history of delivering high-quality content and innovative solutions to its customers.

Company Description:

• Dow Jones is a global leader in news and information services, providing essential insights and analysis to help customers navigate an increasingly complex world.
• The company's flagship publication, the Wall Street Journal, is one of the world's largest newspapers by paid circulation and has won 37 Pulitzer Prizes.
• Dow Jones also offers a range of digital products, including MarketWatch, Barron's, and Factiva, as well as risk and compliance solutions, and professional services.

Company Specialties:

• Business News
• Risk & Compliance
• Market Intelligence
• Private Markets
• Digital Media
• Wealth Management
• Algorithmic & Quantitative Trading
• Research & Knowledge Management
• News Archives
• Conferences
• Market Moving News
• Investment Banking

Company Website: Dow Jones

ASSUMPTION: Dow Jones is a well-established company with a strong reputation for delivering high-quality content and innovative solutions to its customers. This role offers the opportunity to work in a dynamic and global environment, with a focus on driving business impact through data-driven insights.

📊 Role Analysis

Career Level: This role is at the senior manager level, requiring a balance of technical expertise and strategic leadership.

Reporting Structure: The Senior Manager, Marketing Data Science & Modeling will report directly to the VP of Marketing Data Science & Modeling.

Work Arrangement: This role has a hybrid work arrangement, requiring on-site presence three days per week.

Growth Opportunities:

• Mentoring and developing junior team members
• Collaborating with cross-functional teams to drive strategic decision-making
• Expanding the marketing data science capabilities and optimizing marketing performance

ASSUMPTION: This role offers significant growth opportunities for the right candidate, with the potential to make a meaningful impact on the company's marketing efforts and drive business success.

🌍 Location & Work Environment

Office Type: Midtown Manhattan office

Office Location(s): 1211 Ave of the Americas, New York, NY 10036, US

Geographic Context:

• New York City is a major global hub for finance, media, and technology, providing ample opportunities for networking and professional growth.
• The midtown Manhattan office is conveniently located near major transportation hubs and offers easy access to various amenities.
• The city is known for its diverse culture, vibrant neighborhoods, and world-class attractions.

Work Schedule: Full-time, with a hybrid work arrangement requiring on-site presence three days per week

ASSUMPTION: The midtown Manhattan office location offers a dynamic and vibrant work environment, with easy access to various amenities and opportunities for professional growth.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with the Talent Resource Team
• Technical assessment or case study
• On-site or virtual interview with the hiring manager and other team members
• Final round interview with senior leadership
• Background check and offer extension

Key Assessment Areas:

• Technical expertise in data science and marketing analytics
• Strategic thinking and problem-solving skills
• Communication and presentation skills
• Leadership and team management skills
• Cultural fit and alignment with company values

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Demonstrate your understanding of data science techniques and marketing principles in your application materials
• Prepare for behavioral and situational interview questions that assess your leadership, communication, and problem-solving skills
• Research Dow Jones and the role to show your enthusiasm and understanding of the company and its mission

ATS Keywords: Predictive Modeling, Machine Learning, Media Mix Modeling, Attribution, Scenario Planning, Customer Segmentation, Data-Driven Strategy, Team Leadership, Cross-Functional Collaboration, Python, R, SQL, Marketing Analytics, Business Strategy

ASSUMPTION: The application process for this role is likely to be competitive, with a strong focus on technical expertise and strategic thinking. Candidates should tailor their application materials and prepare for a comprehensive interview process.

🛠️ Tools & Technologies

• Python or R
• SQL
• Modern marketing stacks (CRM, CDPs, marketing automation, and analytics platforms)
• Data visualization and presentation tools

ASSUMPTION: The required tools and technologies for this role are industry-standard and widely used in data science and marketing analytics. Candidates should have a strong foundation in these tools and be comfortable learning and adapting to new technologies as needed.

👔 Cultural Fit Considerations

Company Values:

• Integrity
• Quality
• Independence
• Customer Focus
• Innovation

Work Style:

• Collaborative and team-oriented
• Data-driven and analytical
• Adaptable and responsive to change
• Results-focused and action-oriented

Self-Assessment Questions:

• Do you align with Dow Jones' core values, particularly in terms of integrity, quality, and customer focus?
• Are you comfortable working in a dynamic and global environment, with a focus on driving business impact through data-driven insights?
• Do you thrive in a collaborative and team-oriented work environment, with a strong emphasis on data-driven decision-making?

ASSUMPTION: Dow Jones values a diverse and inclusive work environment, with a strong emphasis on integrity, quality, and customer focus. Candidates should be comfortable working in a dynamic and global environment, with a focus on driving business impact through data-driven insights.

⚠️ Potential Challenges

• The role requires a strong balance of technical expertise and strategic leadership, which may be challenging for some candidates.
• The hybrid work arrangement may present challenges for candidates who prefer a fully remote or fully on-site work environment.
• The role may require occasional travel to other Dow Jones offices or client sites.
• The midtown Manhattan office location may present challenges for candidates who prefer a more suburban or remote work environment.

ASSUMPTION: While this role offers significant opportunities for growth and impact, it also presents certain challenges that candidates should carefully consider before applying.

📈 Similar Roles Comparison

• This role is unique in its focus on marketing data science and modeling, with a strong emphasis on driving business impact through data-driven insights.
• Similar roles in the industry may focus more on technical aspects of data science or on broader marketing strategy, rather than the intersection of the two.
• Career paths in this role may lead to senior leadership positions in marketing, data science, or a combination of the two, depending on the candidate's strengths and interests.

ASSUMPTION: This role offers a unique opportunity to work at the intersection of marketing and data science, with a strong focus on driving business impact through data-driven insights.

📝 Sample Projects

• Developing and implementing a predictive model to optimize customer churn and improve retention rates
• Conducting a comprehensive media mix modeling analysis to optimize marketing spend across channels and customer segments
• Creating advanced segmentation models to inform targeting, retention, and cross-sell/upsell strategies for key customer segments

ASSUMPTION: These sample projects illustrate the types of initiatives the Senior Manager, Marketing Data Science & Modeling may lead, with a focus on driving business impact through data-driven insights.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics within the marketing data science and modeling group?
• How does this role collaborate with other teams within the marketing department and the broader organization?
• What are the key priorities for this role in the first 90 days, and how will success be measured?
• How does Dow Jones support the professional development and growth of its employees, particularly in data science and marketing roles?
• What are the key challenges facing the marketing department, and how can this role contribute to addressing them?

ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates your interest in the role and your commitment to driving business impact through data-driven insights.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight relevant skills and experiences for this role, with a focus on data science techniques and marketing principles
• Prepare for a comprehensive interview process, including technical assessments, case studies, and behavioral interviews
• Research Dow Jones and the role to show your enthusiasm and understanding of the company and its mission
• Follow up with the hiring manager or talent resource team after your interview to express your continued interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.