Vice President, Data & Analytics

About the Role

Key Responsibilities

• Develop and optimize segmentation schemas for CRM and paid media activation, including RFM, LTV tiers, lookalikes, and intent-based cohorts.
• Partner with strategists and media teams to connect audience signals to targeting, creative personalization, and channel selection.
• Advise on utilizing existing data, identity data, and signal capture opportunities to enhance modeling and segmentation strategies.
• Design multi-touch measurement frameworks aligned with business objectives such as acquisition, conversion, retention, CLV, and incrementality.
• Partner with media and CRM teams to implement attribution models, holdout tests, and lift studies.
• Create scorecards, dashboards, and reporting frameworks to deliver audience-specific performance insights across touchpoints.
• Recommend KPI structures that incorporate engagement metrics (opens, clicks, impressions, views) and outcome-based metrics (sales, revenue, conversion rate).
• Contribute to new business efforts by developing audience POVs, use case models, and measurement strategies.
• Collaborate with strategy and solutions leads to shape CRM and data-driven marketing proposals.
• Build scalable insight templates, personas, and frameworks for reuse in pitches and RFPs.
• Support data strategy and infrastructure by collaborating with data engineers, martech leads, and CRM owners to ensure data pipelines and tools support analysis needs.
• Recommend data sources and enrichment strategies to improve segmentation and personalization.
• Ensure analytics methodologies are aligned across platforms such as paid media dashboards, ESP metrics, and CDP audiences.

Requirements

• 10+ years of experience in marketing analytics, CRM/lifecycle analytics, or digital audience strategy.
• Deep knowledge of paid media platforms (Meta, Google, DSPs) and owned/CRM environments (Salesforce, Adobe, Braze, etc.).
• Proven ability to translate data into actionable customer insights and strategic direction.
• Familiarity with data visualization and BI tools such as Tableau, Looker, Power BI.
• Experience with analytical tools like SQL, Python, or R is a plus.
• Strong communication skills to tailor insights for both technical and non-technical audiences.
• Experience supporting new business, pitch strategy, or consultative solution development is preferred.

Nice to Have

• Experience supporting new business, pitch strategy, or consultative solution development.

Qualifications

• 10+ years of experience in marketing analytics, CRM/lifecycle analytics, or digital audience strategy.

Benefits & Perks

• Paid Family Care for parents and caregivers for 12 weeks or more.
• Monetary assistance and support for Adoption, Surrogacy, and Fertility.
• Monetary assistance and support for pet adoption.
• Employee Assistance Programs and Health/Wellness/Comfort reimbursements.
• Tuition Assistance.
• Paid time off including Flexible Time off, Vacation, Sick Days, Volunteer Days, Holiday and Identity days.
• Matching Gifts programs.
• Flexible working arrangements including 'Work Your World' program.
• Access to office for up to 6 weeks a year (based on eligibility).
• Participation in Business Resource Groups supporting multiple affinities and alliances.