Marketing Analytics Data Scientist Vice President

Responsibilities

• Own the end-to-end delivery of the analytics and artificial intelligence product roadmap for marketing analytics, including prioritization, sequencing, resourcing, and dependency management
• Identify and shape high-impact use cases such as next best action, audience selection, lifecycle optimization, content intelligence, and measurement automation
• Translate marketing and analytics needs into scalable technical solutions aligned to enterprise data and platform standards
• Lead solution design and technical direction for machine learning, generative artificial intelligence (including retrieval-augmented generation and fine-tuning when appropriate), and agent-based workflow patterns
• Drive engineering and data science execution across the full solution lifecycle, from prototyping to production deployment, monitoring, and optimization
• Establish team best practices for reproducibility, documentation, code quality, and model governance
• Develop and operationalize models for propensity, churn and retention, uplift and causal impact, segmentation, channel optimization, and experimentation
• Build measurement frameworks that connect solutions to marketing outcomes such as incrementality, conversion, retention, engagement, and operational efficiency
• Ensure solutions meet firm standards for model risk management, data privacy, security, fairness testing, explainability, and auditability

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 2+ years of demonstrated coaching and mentoring experience
• 5+ years of experience in data science, machine learning, or applied artificial intelligence, with a track record of delivering production solutions
• Hands-on experience designing machine learning and generative artificial intelligence solutions, including orchestration concepts for agent-based workflows
• Proven ability to lead technical teams and deliver across complex stakeholder environments
• Strong written and verbal communication skills with the ability to influence senior leaders using clear narratives and measurable results
• Marketing analytics experience, including applying analytics to targeting, lifecycle programs, or performance measurement

Preferred

• Experience in financial services or other highly regulated environments with demonstrated control discipline
• Deep understanding of marketing measurement and experimentation, including A/B testing, incrementality, and causal inference
• Experience integrating analytics and artificial intelligence into marketing execution and decisioning platforms (for example, audience selection, journey orchestration, and outbound channels)
• Experience building attribution or marketing mix measurement support capabilities in partnership with measurement teams

Benefits

• We offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.