📌 Core Information
🔹 Job Title: Director, Data Science and Marketing Analytics Innovation
🔹 Company: AAA Life Insurance Company
🔹 Location: Livonia, MI & Boston, MA
🔹 Job Type: Full-Time, Hybrid
🔹 Category: Data Science, Marketing
🔹 Date Posted: April 29, 2025
🔹 Experience Level: 10+ years
🔹 Remote Status: On-site (Hybrid)
🚀 Job Overview
Key aspects of this role include:
- Driving data-driven marketing strategies for a specific product line
- Bridging marketing and data science teams
- Developing and executing data and analytics plans
- Leading a team of data scientists, analysts, and engineers
- Collaborating with cross-functional stakeholders
ASSUMPTION: This role requires a high level of strategic thinking, technical expertise, and leadership skills to drive data-driven decisions and transformational change within the organization.
📋 Key Responsibilities
✅ Develop and execute data and analytics plans aligned with product and organizational goals
✅ Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness
✅ Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI
✅ Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations
✅ Mentor and manage Data Scientists, Analysts, and Engineers in a collaborative, innovative environment
✅ Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines
✅ Implement testing frameworks and A/B experiments to boost customer experience and marketing performance
✅ Develop dashboards and reports to monitor product performance and key business metrics
✅ Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow
✅ Review and understand tools in the marketplace that will help with innovation and optimization, actively seeking out new use cases and experiments that will result in organizational transformation and sales and profit improvements
ASSUMPTION: This role involves a mix of strategic planning and tactical execution, requiring strong multitasking skills and the ability to work effectively under tight deadlines.
🎯 Required Qualifications
Education: Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field
Experience: Minimum 10 years of experience in data science, analytics, or related field
Required Skills:
- Strategic thinking with a passion for innovative marketing strategies
- Deep understanding of direct mail and digital marketing analytics
- Proven leadership in data science or analytics with a marketing focus
- Strong technical background in predictive modeling, statistics, and data visualization
- Experience leading teams through organizational transformation and innovation
- Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models
- Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs
- Knowledge of automation tools and technologies
- Excellent persuasive communication skills for bridging technical and non-technical audiences
Preferred Skills:
- Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
- Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
ASSUMPTION: Candidates should have a strong background in both data science and marketing to excel in this role.
💰 Compensation & Benefits
Salary Range: $150,000 - $200,000 (Based on industry standards for a Director-level role in data science and marketing analytics)
Benefits:
- Enjoy a hybrid work environment that promotes work-life balance
- Comprehensive medical, dental, and vision coverage starting from your first day
- Employer 401k match and employer contribution to a pension plan
- Generous PTO and paid parental leave to support your family needs
Working Hours: Full-time, typically 40 hours per week, with flexibility for hybrid work arrangement
ASSUMPTION: The salary range is estimated based on industry standards for similar roles in the insurance industry, considering the required experience level and location.
📌 Applicant Insights
🔍 Company Context
Industry: Insurance, specifically life insurance and annuities
Company Size: Medium (501-1,000 employees), offering a supportive work environment with opportunities for growth and collaboration
Founded: 1969, with a rich history and strong brand recognition
Company Description:
- AAA Life Insurance Company is fueled by its mission of providing financial security and peace of mind to AAA members through its life insurance products
- Delivers outstanding customer service that meets the expectations of the AAA brand
- Offers innovative products and exceptional customer service to meet the needs of its policyholders at various stages of life
Company Specialties:
- Life insurance and annuities at competitive rates
Company Website: http://www.aaalife.com
ASSUMPTION: AAA Life Insurance Company is a well-established organization with a strong focus on customer service and member satisfaction.
📊 Role Analysis
Career Level: Director-level, reporting directly to the Chief Marketing Officer or a similar executive
Reporting Structure: This role is expected to supervise a team of data scientists, analysts, and engineers, with the potential to collaborate with other departments such as marketing, product, and IT
Work Arrangement: Hybrid, with a mix of on-site and remote work, allowing for flexibility and work-life balance
Growth Opportunities:
- Potential to advance to a VP or C-level role within the organization
- Chance to lead transformational change and drive organizational growth
- Opportunity to work on high-impact projects that directly influence the company's bottom line
ASSUMPTION: This role offers significant growth potential for the right candidate, with the opportunity to make a meaningful impact on the organization's success.
🌍 Location & Work Environment
Office Type: Hybrid, with offices in Livonia, MI, and Boston, MA
Office Location(s): 17900 N. Laurel Park Dr., Livonia, MI 48152, US & 2909 N. 118th Street, Omaha, NE 68164, US
Geographic Context:
- Livonia, MI: A suburb of Detroit, offering a mix of urban and suburban living with a lower cost of living compared to downtown Detroit
- Boston, MA: A major city with a rich history, cultural attractions, and a vibrant tech industry
Work Schedule: Full-time, with a flexible hybrid work arrangement, allowing for a better work-life balance
ASSUMPTION: The hybrid work environment offers the best of both worlds, allowing employees to enjoy the benefits of working from home while still having access to an office environment for collaboration and support.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screening with the hiring manager
- On-site or virtual interview with the hiring team
- Final interview with the Chief Marketing Officer or another executive
Key Assessment Areas:
- Technical skills and expertise in data science and marketing analytics
- Leadership and team management abilities
- Strategic thinking and problem-solving skills
- Communication and presentation skills
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Be prepared to discuss your experience with predictive modeling, customer segmentation, and marketing analytics
- Demonstrate your ability to lead a team and drive organizational change
ATS Keywords: Data Science, Marketing Analytics, Predictive Modeling, Customer Segmentation, Campaign Optimization, Team Leadership, Data Infrastructure, Experimental Design, Automation Strategy, Innovation, Optimization
ASSUMPTION: The interview process will focus on assessing the candidate's technical skills, leadership abilities, and cultural fit within the organization.
🛠️ Tools & Technologies
- Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs
- Automation tools and technologies (workflow automation, RPA, AI-driven automation)
- Data visualization tools such as Tableau or Power BI
ASSUMPTION: Candidates should have experience with the listed tools and technologies, as well as a willingness to learn and adapt to new platforms as needed.
👔 Cultural Fit Considerations
Company Values:
- Putting members first
- Enhancing the AAA brand
- Inclusive diversity
- Working in symphony to drive results
Work Style:
- Collaborative and innovative environment
- Focus on strategic planning and tactical execution
- Agile and adaptable, with a strong emphasis on multitasking
Self-Assessment Questions:
- Do you have a proven track record of driving data-driven marketing strategies and leading teams through organizational transformation?
- Are you comfortable working in a hybrid environment, balancing on-site and remote work?
- Do you possess excellent communication skills and the ability to bridge technical and non-technical audiences?
ASSUMPTION: Candidates should assess their fit with the company's values and work style, ensuring they align with the organization's culture and expectations.
⚠️ Potential Challenges
- Managing a team with diverse skills and backgrounds, requiring strong leadership and communication skills
- Balancing strategic planning and tactical execution, often working under tight deadlines
- Adapting to a hybrid work environment, with the need to collaborate effectively both in-person and remotely
- Working with sensitive customer data, requiring a strong commitment to data privacy and security
ASSUMPTION: These challenges can be overcome with strong leadership, effective communication, and a commitment to data privacy and security.
📈 Similar Roles Comparison
- This role is unique in its focus on driving data-driven marketing strategies for a specific product line within the insurance industry
- While similar roles may exist in other industries, the specific context and requirements of this role make it distinct
- Career path comparison: This role offers significant growth potential, with the opportunity to advance to a VP or C-level role within the organization
ASSUMPTION: Candidates should consider the unique aspects of this role and how it aligns with their career goals and interests.
📝 Sample Projects
- Developing and implementing a predictive modeling framework to enhance customer segmentation and marketing effectiveness
- Optimizing cross-channel campaign analysis and attribution modeling to improve marketing ROI
- Designing and implementing automated reporting and alerting systems to streamline data-driven decision-making
ASSUMPTION: These sample projects illustrate the strategic and tactical nature of the role, requiring a strong technical background and leadership skills.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within the organization?
- What are the key priorities for this role in the first 90 days?
- How does the company support work-life balance and employee growth and development?
- What are the most significant challenges facing the marketing department, and how can this role help address them?
- How does the company approach innovation and staying competitive in the insurance industry?
ASSUMPTION: These questions will help candidates better understand the role, the team, and the company culture, enabling them to make an informed decision about the opportunity.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Prepare for the interview by reviewing your experience with predictive modeling, customer segmentation, and marketing analytics
- Research the company and industry to demonstrate your understanding of the role and the organization's mission
- Follow up with the hiring manager within one week of the interview to express your interest in the role and ask any remaining questions
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
