Director, Lead Audience Generation & Segmentation (Hybrid)

About the Role

Key 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.
• Identify, define, and enable target audiences and market triggers in industries such as retirement strategies, wealth management, and insurance.
• Implement tools for capturing and scoring lead opportunities across digital and traditional channels.
• Conduct data mining to discover high-value audience cohorts and segments.
• Utilize AI/ML methods including clustering, classification, and recommendation systems for segmentation and lead scoring model development and iteration.
• Define requirements for an AI-powered lead scoring engine in the B2B2C space.
• Collaborate across matrixed organizations to refine models for improved segmentation and targeting precision.
• Influence the development of business intelligence and analytics tools to support transparency, reporting, and optimization of lead performance.
• Analyze and interpret trends to drive insights, higher lead quality, and conversion rate improvements.
• Prioritize lead audience experimentation to optimize performance.
• Maintain feedback loops with brand advertising, marketing, sales, and field teams to refine strategies.

Requirements

• 7+ years in audience generation or growth marketing with 3+ years in a leadership role, with success in the B2B2C space.
• Experience scaling AI/ML-powered segmentation, lead generation, and scoring frameworks.
• Experience in wealth management, asset management, or insurance, with understanding of customer journeys and compliance.
• Expert-level proficiency in AI/ML frameworks for segmentation and predictive modeling, including deployment and optimization on platforms such as SageMaker, Azure, and Databricks.
• Advanced coding skills in SQL, Python, and R for data analysis and strategic decision-making.
• Experience with business intelligence tools like Tableau and Power BI, including dashboard development.
• Knowledge of AI-based lead scoring solutions and signal intelligence platforms such as 6Sense and Bombora.

Nice to Have

• Startup or innovation lab experience.

Qualifications

• Formal educational background is not explicitly specified, but extensive experience in audience generation and leadership roles is required.

Benefits & Perks

• Market competitive base salaries, with a yearly bonus potential.
• Medical, dental, vision, life insurance, disability insurance, PTO, and leave of absence benefits.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness programs including up to $1,600 annually for personal wellbeing items.
• Work/Life Resources supporting parenting, housing, senior care, finances, pets, legal matters, education, mental health, and career development.
• Education benefits for traditional college enrollment and accredited certificate programs.
• Employee Stock Purchase Plan at 85% of the lower of two prices after one year of service.