Responsibilities

• Manage intake, prioritization, and delivery of analytics requests from Marketing stakeholders, balancing ad hoc needs with the broader roadmap.
• Lead and develop a team of 8 people responsible for MTA vendor data management, marketing analytics delivery, statistical/data science analysis, and taxonomy governance.
• Establish a high-performing, collaborative team culture that emphasizes technical rigor, accountability, continuous learning, and strong business partnership.
• Coach, mentor, and support the career development and performance management of team members.
• Own the end-to-end relationship with Ford's MTA vendor, including data ingestion, service performance, methodology evaluation, issue resolution, and contract oversight.
• Oversee data quality and validation processes, including statistical checks and anomaly detection, to ensure MTA data feeding dashboards and reporting is accurate, complete, and trustworthy.
• Apply and guide the use of statistical methods, causal inference, and incrementality/lift analysis to validate attribution outputs and strengthen confidence in measurement results.
• Oversee recurring data refresh processes run on Google Cloud Platform (GCP), leveraging SQL and Python to support and automate the attribution data pipeline.
• Own and manage the team's backlog, ensuring priorities align with Marketing leadership objectives and available capacity.
• Direct the development and delivery of dashboards and reporting that translate attribution and measurement data into clear, actionable insight for Marketing stakeholders.

Requirements

• Bachelor's degree in Data Science, Statistics, Marketing Analytics, Computer Science, Mathematics, Business, or a related quantitative field.
• 5+ years of experience in marketing analytics, data analytics, data science, media measurement, or a related field.
• 2+ years of experience leading technical or analytics teams.
• Working proficiency in SQL and Python for data analysis, validation, and automation.
• Strong working knowledge of statistical methods (e.g., hypothesis testing, regression, incrementality/lift analysis) applied to marketing measurement.
• Experience managing vendor relationships, including data delivery, budget, and contract performance.
• Experience with marketing/media taxonomy, campaign tagging standards, or attribution data structures.
• Strong data quality and validation skills, with the ability to identify, troubleshoot, and resolve data issues across systems.
• Experience delivering dashboards and reporting to business stakeholders.

Preferred

• Advanced degree in Data Science, Marketing Analytics, Statistics, Business, or a related field.
• 10+ years of relevant marketing analytics, data science, or media measurement experience.
• 5+ years of experience leading, coaching, or managing teams.
• Direct experience with Multi-Touch Attribution (MTA) platforms, methodologies, and/or Media Mix Modeling (MMM).
• Applied experience with causal inference, uplift modeling, or experimentation design to evaluate marketing effectiveness.
• Hands-on experience building or validating statistical/machine learning models in Python (e.g., regression, classification, time-series).
• Experience with Google Cloud Platform (GCP) or other cloud-based data and machine learning platforms.
• Experience working with media agencies on taxonomy governance and campaign tagging standards.
• Familiarity with dashboarding and BI tools (e.g., Qlik, Looker, Power BI).
• Experience applying Generative AI tools to improve data science and analytics workflows.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.