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Director, Marketing GenAI Solutions & Modeling

Dow Jones
Full-time
On-site
United States
🌐 Digital Marketing
πŸ“Œ Core Information

- Job Title: Director, Marketing GenAI Solutions & Modeling
- Company: Dow Jones
- Location: NYC - 1211 Ave of the Americas
- Job Type: Full-Time, Hybrid (3 days on-site)
- Category: Online Media, Marketing, Data Science
- Date Posted: May 23, 2025
- Experience Level: 12+ years

πŸš€ Job Overview

Key aspects of this role include:

- Leading the development and deployment of predictive models and generative AI tools to optimize marketing effectiveness and enhance customer engagement.
- Collaborating with various teams to analyze customer data and translate insights into strategic marketing recommendations.
- Managing a team and fostering a culture of experimentation, rigor, and business alignment.

*ASSUMPTION:* This role requires a strong blend of technical depth, marketing strategy, and innovation to drive growth across direct-to-consumer products.

πŸ“‹ Key Responsibilities

- Predictive Modeling & Machine Learning: Lead the design, development, and deployment of models for churn prediction, customer lifetime value, price sensitivity, next-best-action, and upsell/cross-sell strategies. Continuously improve model accuracy, scalability, and impact through rigorous testing and iteration.
- Generative AI Development & Integration: Champion the development and implementation of generative AI tools (e.g., content personalization, creative generation, conversational AI) for Marketing and Subscriptions to improve customer engagement. Identify high-value use cases and partner with marketing, product, and engineering teams to pilot and scale solutions. Stay current on emerging generative AI trends and assess opportunities for innovation.
- 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 strong stakeholder engagement skills to bridge data science and business strategy effectively.

🎯 Required Qualifications

- Education: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or similar. Advanced degree preferred.
- Experience: 12+ years of experience in data science, marketing analytics, business strategy, or related disciplines. 5+ years managing complex technical projects in fast-paced environments with multiple stakeholders. 2+ years of people management experience, with a strong track record of mentoring and developing talent.
- Required Skills:
- Deep expertise in predictive modeling, machine learning, forecasting, and advanced analytics techniques.
- Hands-on experience building and deploying Generative AI solutions.
- Proficiency with Python or R, and strong SQL skills.
- Familiarity with modern marketing stacks, including CRM, CDPs, marketing automation, and analytics platforms.
- Preferred Skills:
- Experience with subscription-focused business models.
- Familiarity with the media and publishing industry.

*ASSUMPTION:* Candidates with a strong background in data science and a proven track record in marketing analytics are most likely to succeed in this role.

πŸ’° Compensation & Benefits

- Salary Range: $175,000 - $215,000 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 (3 days on-site in NYC)

*ASSUMPTION:* The salary range is competitive for the media industry and reflects the high level of responsibility and expertise required for this role.

πŸ“Œ Applicant Insights

πŸ” Company Context

- Industry: Online Media, focusing on business news and information.
- Company Size: 1,001-5,000 employees
- Founded: 1882 (as Dow Jones & Company)
- Company Description: 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 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, and Investment Banking.

*ASSUMPTION:* Dow Jones offers a dynamic work environment with a strong focus on data-driven decision-making and innovation.

πŸ“Š Role Analysis

- Career Level: Senior leadership role reporting to the Vice President of Marketing Data Science & Modeling.
- Reporting Structure: This role will oversee a team of data scientists and analysts, collaborating with various marketing, product, and engineering teams.
- Work Arrangement: Hybrid, with 3 days required on-site in NYC.
- Growth Opportunities:
- Potential to shape the marketing analytics roadmap and influence high-level strategic planning.
- Opportunities to work on cutting-edge generative AI projects and drive innovation in marketing.
- Exposure to a global organization with diverse business lines and products.

*ASSUMPTION:* This role offers significant growth potential for the right candidate, with opportunities to make a substantial impact on Dow Jones' marketing strategy.

🌍 Location & Work Environment

- Office Type: Midtown Manhattan office, with a hybrid work arrangement.
- Office Location(s): 1211 6th Ave, New York, NY 10036, US
- Geographic Context: NYC offers a vibrant, multicultural environment with numerous amenities and attractions.
- Work Schedule: Full-time, with a hybrid work arrangement (3 days on-site, 2 days remote).

*ASSUMPTION:* The hybrid work arrangement offers flexibility while ensuring collaboration and engagement with the team and stakeholders.

πŸ’Ό Interview & Application Insights

- Typical Process: Online application submission β†’ Phone/Video screen β†’ On-site interview with hiring manager and team members β†’ Final interview with VP β†’ Offer extension.
- Key Assessment Areas: Technical skills (data science, AI, and analytics), strategic thinking, communication, and leadership abilities.
- Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
- Prepare for behavioral and situational interview questions focused on data-driven decision-making, stakeholder management, and problem-solving.
- Familiarize yourself with Dow Jones' products and business lines to demonstrate your interest and understanding of the company.

*ASSUMPTION:* Dow Jones values candidates who can demonstrate a strong blend of technical expertise and strategic thinking.

πŸ› οΈ Tools & Technologies

- Python or R
- SQL
- Modern marketing stacks (CRM, CDPs, marketing automation, and analytics platforms)
- Generative AI tools and frameworks (e.g., Hugging Face, TensorFlow, PyTorch)
- Data visualization tools (e.g., Tableau, Power BI)

*ASSUMPTION:* Candidates should have experience with relevant data science and marketing tools to excel in this role.

πŸ‘” Cultural Fit Considerations

- Company Values: Dow Jones values integrity, accuracy, innovation, and customer focus. They strive to provide unrivaled quality content and foster a culture of continuous learning and improvement.
- Work Style: Dow Jones encourages collaboration, cross-functional teamwork, and a data-driven approach to decision-making. They value employees who are proactive, adaptable, and passionate about their work.
- Self-Assessment Questions:
- How do you align with Dow Jones' core values, and how have you demonstrated these values in your previous roles?
- Describe a time when you had to manage multiple stakeholders with competing priorities. How did you balance their needs and drive consensus?
- How do you stay current with emerging trends in data science and AI, and how have you applied this knowledge to drive business impact in previous roles?

*ASSUMPTION:* Candidates who can demonstrate a strong fit with Dow Jones' values and work style will thrive in this role.

⚠️ Potential Challenges

- Balancing the demands of multiple stakeholders with competing priorities.
- Keeping up with the fast-paced evolution of generative AI and its applications in marketing.
- Ensuring the scalability and reliability of models and AI solutions in a production environment.

*ASSUMPTION:* Successful candidates will be proactive, adaptable, and skilled in navigating complex, dynamic environments.

πŸ“ˆ Similar Roles Comparison

- Role Differentiators: This role focuses on driving growth for direct-to-consumer products through predictive modeling and generative AI, whereas similar roles might focus on specific business lines or product categories. Additionally, this role requires a strong blend of technical depth, marketing strategy, and innovation.
- Industry-Specific Context: Dow Jones' focus on business news and information presents unique opportunities and challenges for marketing analytics and AI applications.
- Career Path Comparison: This role offers a clear path for career progression within Dow Jones' marketing data science and analytics organization, with potential opportunities to lead larger teams or take on broader responsibilities.

*ASSUMPTION:* Candidates should consider how this role aligns with their long-term career goals and aspirations within the media and publishing industry.

πŸ“ Sample Projects

- Developing and deploying a churn prediction model to identify at-risk customers and optimize retention strategies.
- Creating a generative AI tool for personalized content recommendations to enhance customer engagement and loyalty.
- Collaborating with marketing and product teams to design and execute A/B tests to optimize campaign performance and ROI.

*ASSUMPTION:* Candidates should be prepared to discuss their experience with similar projects and how they drove business impact in previous roles.

❓ Key Questions to Ask During Interview

- How does this role fit into Dow Jones' broader marketing strategy, and what are the key priorities for the first 90 days?
- Can you describe the team structure and dynamics, and how does this role contribute to the team's success?
- How does Dow Jones support the professional development and growth of its marketing data science and analytics team members?
- What are the most significant challenges facing the marketing organization, and how can this role help address them?

*ASSUMPTION:* Candidates should use the interview process to assess the role's fit with their skills, interests, and career goals, as well as the company culture and work environment.

πŸ“Œ Next Steps for Applicants

To apply for this position:

- Submit your application through this [link](https://dowjones.wd1.myworkdayjobs.com/Dow_Jones_Career/job/NYC---1211-Ave-of-the-Americas/Director--Marketing-GenAI-Solutions---Modeling_Job_Req_46708).
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role, emphasizing your expertise in data science, marketing analytics, and AI.
- Prepare for interviews by researching Dow Jones' products, business lines, and industry trends, as well as practicing common interview questions and your responses.
- Follow up with the hiring manager or talent acquisition team after your interview to express your interest in the role and reiterate your qualifications.
- If you receive an offer, carefully review the terms and conditions, and negotiate as appropriate based on your research and understanding of the market.

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