Marketing Analytics - Vice President

Responsibilities

• Serve as the strategic lead for marketing analytics, partnering with senior insurance marketing stakeholders to develop data-driven strategies, KPIs, and measurement frameworks
• Lead full-funnel marketing analytics, connecting campaign performance to conversion, pipeline, and revenue impact
• Design and analyze multi-channel campaigns (email, web, paid media, events, CRM, sales) to drive ongoing optimization
• Identify opportunities to improve marketing efficiency and ROI
• Develop and refine lead scoring models and segmentation strategies to improve targeting and conversion in a B2B context
• Align with cross-functional teams, including marketing Centers of Excellence, on reporting standards and performance tracking
• Translate analytics into scalable data requirements in partnership with data engineering teams
• Drive executive-level reporting and insights, translating complex data into clear, actionable recommendations that inform strategic decisions
• Build and maintain dashboards to track key marketing metrics and communicate insights
• Mentor and guide junior team members and contribute to building a high-performing analytics team

Requirements

• 7-10 years of experience in marketing analytics, including multi-channel, full-funnel analytics, and B2B marketing analytics (e.g., lead scoring and funnel performance), preferably in insurance or financial services
• Experience with brand marketing and paid media analytics, including measurement of brand campaigns, media performance, and optimization across paid channels
• Deep expertise in marketing measurement, attribution, and ROI analysis, with the ability to connect marketing activity to business outcomes
• Experience with Salesforce CRM, B2B marketing analytics, and marketing automation platforms (e.g., Marketo, Salesforce Marketing Cloud)
• Strong understanding of web and digital analytics tools (e.g., Google Analytics, Adobe Analytics, or similar platforms)
• Proficiency in SQL and experience analyzing large datasets from CRM and marketing platforms
• Experience using Python and working with cloud data platforms such as Snowflake and/or AWS Redshift
• Experience partnering with data engineering and technology teams to enable scalable analytics solutions
• Experience with segmentation and customer targeting strategies
• Strong analytical and problem-solving skills with a demonstrated ability to generate actionable insights