Overview

Why AAA Life

AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them – and their families – when we’re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.

How You’ll Work

Work Solution: Hybrid
Relocation Eligibility: Available

Responsibilities

What You'll Do

The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge—including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation —to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers.

Product Data and Analytics Strategy: Develop and execute data and analytics plans aligned with product and organizational goals.
Predictive Modeling: Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness.
Marketing Analytics: Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI.
Cross-functional Collaboration: Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations.
Team Leadership: Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment.
Data Infrastructure: Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines.
Experimental Design: Implement testing frameworks and A/B experiments to boost customer experience and marketing performance.
Performance Reporting: Develop dashboards and reports to monitor product performance and key business metrics.
Automation Strategy: Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities.
Innovation and Optimization: Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements.

Qualifications

Basic Required Qualifications

Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field
Minimum 10 years of experience in data science, analytics, or related field
Minimum of 7 years of experience in managing and leading people
Strategic thinker with a passion for innovative marketing strategies; has a 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 coupled with 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 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
Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology.
Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems.
Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership.

Preferred Qualifications

Previous experience in the life insurance, insurance, or adjacent industry
Experience with Generative AI technologies for marketing applications
Experience leading cross-functional teams in a matrix organization without direct authority
Experience with customer journey and lifetime value analysis

Position Success Criteria

Excellent written and verbal communication skills
Strong organizational, problem-solving, and analytical skills
Versatility, flexibility, and willingness to adapt to changing priorities
Ability to exercise independent judgment and demonstrate leadership skills
Proven ability to manage multiple projects and meet deadlines
Strong interpersonal skills for effective collaboration and stakeholder engagement

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.

This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

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Director, Data Science and Marketing Analytics Innovation