Lead Multi-Touch Attribution Analytics

Ford Motor Company; Carson City (NV); On-site; USD 133,000 - 251,000; Full time

Benefits offered by this job

Medical, dental, vision

Parental leave

Vehicle discount program

Tuition assistance

Paid time off

Paid holidays

Job summary

Ford Motor Company Marketing Analytics is seeking a highly capable Manager to lead the team responsible for the enterprise's Multi-Touch Attribution (MTA) capability. This leadership role will manage a team of 8 people handling vendor data, analytics delivery, and taxonomy governance, partnering with Ford's media agency.

The role requires strong data science, data management, and business acumen, with experience in SQL, Python, GCP, and attribution methods.

Qualifications

• Bachelor's degree in a quantitative field.
• 5+ years of marketing analytics, data analytics, data science, or related field.
• 2+ years of leading analytics teams.

Responsibilities

• Manage intake, prioritization, and delivery of analytics requests from Marketing stakeholders.
• Lead and develop a team of 8 responsible for MTA vendor data management, analytics delivery, and taxonomy governance.
• Establish a high-performing, collaborative team culture with technical rigor and strong business partnership.
• Coach, mentor, and support career development of team members.
• Own end-to-end relationship with Ford's MTA vendor, including data ingestion, service performance, and contract oversight.
• Oversee data quality and validation to ensure dashboards and reporting are accurate.

Skills

SQL

Python

Statistics

Data analytics

Communication

Education

Bachelor's degree in Data Science/Statistics/CS

Tools

GCP

Looker/Power BI

Python (pandas)

Job description

Ford Motor Company Marketing Analytics is seeking a highly capable Manager to lead the team responsible for the enterprise's Multi-Touch Attribution (MTA) capability. This leadership role will manage a team of 8 people handling vendor data, analytics delivery, and taxonomy governance, partnering with Ford's media agency.

The role requires strong data science, data management, and business acumen, with experience in SQL, Python, GCP, and attribution methods.