Prudential Financial is looking to accelerate its growth and transition to an AI-driven operating model by modernizing and scaling its audience generation and segmentation strategies. The company needs to enhance lead generation processes, improve data-driven engagement, and leverage AI/ML for more precise targeting and scoring to drive business growth.
Requirements
- Expert-level proficiency in AI/ML frameworks specifically for segmentation and predictive modeling, with demonstrated experience in deploying, optimizing, and maintaining models using platforms such as SageMaker, Azure, and Databricks.
- Advanced coding skills in SQL, Python, and R, capable of designing complex algorithms and scripts for data analysis and manipulation to inform strategic marketing decisions.
- Extensive experience with business intelligence tools like Tableau and Power BI, including the development of interactive dashboards and comprehensive reports that translate data insights into actionable business strategies.
- In-depth knowledge of AI-based lead scoring solutions and signal intelligence platforms such as 6Sense and Bombora, with a track record of effectively implementing these tools to enhance precision in lead segmentation and scoring.
Responsibilities
- Lead and contribute to future-state roadmaps, focusing on technical design and optimization, while fostering mentorship and collaboration.
- Modernize lead generation processes across media, marketing, and sales with data-driven solutions, ensuring privacy and compliance standards.
- Mentor the team in advanced analytics tools and methodologies, aligning strategies with growth goals and AI transformation objectives.
- Build scalable, intelligent systems to improve efficiency and integrate AI-assisted workflows into daily operations.
- Develop and execute 1st, 2nd, and 3rd party data-driven scoring systems to predict and enhance metrics like CAC, LTV, NPS and conversion rates.
- Utilize AI/ML methods including clustering, classification, and recommendation systems for segmentation and lead scoring model development and iteration.
- Influence the development of business intelligence and analytics tools to support transparency, reporting, and optimization of lead performance.
Other
- 7+ years in audience generation or growth marketing with 3+ years in a leadership capacity, showing success in the B2B2C space.
- Experience in wealth management, asset management, or insurance with a firm understanding or customer journeys and compliance.
- Ability to translate technical insights into marketing strategies across multiple business lines.
- Hybrid (Newark) work environment with on-site presence required.
- Mentoring and collaboration skills.
