Data Product Lead - Marketing Analytics

About the Role

Key Responsibilities

• Develop and manage the product roadmap for data products that support marketing analytics.
• Collaborate with marketing and analytics teams to define product requirements and ensure successful delivery.
• Lead the design and implementation of data solutions that provide actionable insights for marketing strategies.
• Ensure data quality and integrity by establishing and maintaining data governance practices.
• Communicate product vision, strategy, and progress to stakeholders and senior leadership.
• Stay up-to-date with industry trends and best practices in data analytics and product management.

Requirements

• Bachelor's degree in a related field, or equivalent work experience.
• Eight or more years of statistical and/or data analytics experience.
• Experience in data engineering, data architecture, dashboarding, and data product ownership (10+ years preferred).
• Experience leading a team of data analysts, engineers, and/or developers (2+ years).
• Strong understanding of data architecture types (data lake, data warehouse, data lakehouse, data mesh, data fabric).
• Strong communication and interpersonal skills, with experience engaging with senior leadership.
• Experience working in an agile environment (e.g., user stories, iterative development).
• Understanding of marketing measurement methodologies including adtech platform reporting, attribution, and Marketing Mix Modeling.
• Experience in financial services with knowledge of marketing, products, customers, transaction, and interaction data.
• Evidence of strong data management practices, including documenting calculations, code, processes, and remediating data quality issues.
• Experience with Snowflake or Databricks and cloud platforms, preferably Microsoft Azure Data Services.
• Moderate/expert knowledge of analytics data visualization tools, preferably Power BI.
• Team leadership and people development experience, including offshore talent management.

Nice to Have

• Feel at ease querying databases.
• Experience with a cloud platform, preferably Microsoft Azure Data Services.

Qualifications

• Bachelor's degree in a related field or equivalent work experience.

Benefits & Perks

• Healthcare (medical, dental, vision).
• Basic term and optional term life insurance.
• Short-term and long-term disability.
• Pregnancy disability and parental leave.
• 401(k) and employer-funded retirement plan.
• Paid vacation (from two to five weeks depending on salary grade and tenure).
• Up to 11 paid holiday opportunities.
• Adoption assistance.
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per year.