Lead Manager, Multi-Touch Attribution & Analytics

Ford Motor Company; Dover (DE); On-site; USD 133,000 - 251,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Vehicle discount program

Tuition assistance

Paid time off and holidays

Job summary

Ford Motor Company seeks a data-driven Marketing Analytics Manager to lead an 8-person team responsible for the enterprise's Multi-Touch Attribution (MTA) capability. You will partner with Ford's media agency, oversee data quality, taxonomy governance, and the analytics backlog, and translate complex data into actionable insights for marketing leadership.

The role requires strong SQL/Python, experience with vendor management and dashboards, and a track record of delivering measurement products

Qualifications

• Bachelor's degree in a quantitative field.
• 5+ years 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.
• Experience managing vendor relationships, including data delivery, budget, and contract performance.

Responsibilities

• Lead 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.
• Partner with Ford's media agency to define, govern, and enforce campaign taxonomy standards, ensuring consistent naming conventions across all campaigns and channels.
• Serve as the primary escalation point for taxonomy, data quality, methodology, and vendor-related issues, resolving blockers and driving timely upward escalation when needed.
• Build strong relationships with stakeholders across Marketing, the MTA vendor, and the agency to drive adoption of attribution insights and measurable business impact.
• Communicate complex data, statistical, and measurement concepts, results, and recommendations clearly to technical and non-technical audiences.
• Ensure best practices, data privacy standards, and organizational policies are followed across all vendor and agency data exchanges.
• Utilize AI/ML and Generative AI tools to drive efficiencies in workload, automate analysis, and derive deeper insights for Marketing business partners.
• Work with Data Fulfillment and Data Factory for any new data enhancements.
• Provide an excellent example of and expectation for Ford+ behaviors within the Marketing Analytics team.
• Implement "Close the Loop," OKR, and Performance+ objectives and processes within Marketing Analytics.

Skills

SQL

Python

Statistics

Marketing analytics

Data governance

Vendor management

Taxonomy governance

Dashboarding

Data quality

MTA knowledge

Education

Bachelor's degree in Data Science, Statistics, Marketing Analytics, Computer Science, Mathematics, Business, or related field

Tools

Google Cloud Platform (GCP)

Looker

Power BI

Qlik

Job description

Ford Motor Company seeks a data-driven Marketing Analytics Manager to lead an 8-person team responsible for the enterprise's Multi-Touch Attribution (MTA) capability. You will partner with Ford's media agency, oversee data quality, taxonomy governance, and the analytics backlog, and translate complex data into actionable insights for marketing leadership.

The role requires strong SQL/Python, experience with vendor management and dashboards, and a track record of delivering measurement products