Manager, Multi-Touch Attribution

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office or Remote
133K-251K Annually
Senior level
Automotive
The Role
Leads Ford’s multi-touch attribution team and enterprise marketing measurement capability. Responsibilities include managing eight employees, vendor relationships, data pipelines, analytics intake, taxonomy governance, data quality, statistical validation, causal inference, dashboards, and reporting. The role uses GCP, Python, and SQL to automate attribution workflows, evaluates marketing effectiveness, oversees budgets and contracts, partners with media agencies, and communicates insights to technical and business stakeholders. It also promotes AI/ML and generative AI adoption while ensuring privacy, policy compliance, and alignment with Marketing objectives.
Summary Generated by Built In

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.


Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position... 

Ford Marketing Analytics is seeking a highly capable, technically grounded, and detail-oriented 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 responsible for vendor data management, marketing analytics request intake and delivery, marketing taxonomy governance, and the analytical methods that underpin attribution insight, in partnership with Ford's media agency.


This team plays a critical role in enabling Marketing to understand the effectiveness and efficiency of its media investments across the customer journey. The team's work spans managing the relationship and data pipeline with Ford's MTA vendor, fielding and prioritizing analytics requests from Marketing stakeholders, applying statistical and data science methods to validate and enhance attribution outputs, delivering dashboards and reporting that translate attribution data into actionable insight, and ensuring the campaign taxonomy that underpins all attribution data is accurate, consistent, and governed in close partnership with the agency.


This individual will combine strong data science, data management, analytics, and business acumen with the ability to translate complex, cross-functional data challenges into reliable, trusted marketing measurement products. They will partner closely with stakeholders across Ford Retail, Model e, Ford Pro, and Lincoln Marketing, the MTA vendor, and Ford's media agency to manage data quality, prioritize the analytics backlog, oversee vendor budget and contract performance, evaluate and improve attribution methodology, and ensure taxonomy standards are consistently applied across campaigns. This role leverages Google Cloud Platform (GCP), Python, and SQL to manage recurring data refresh processes and analytical workflows that feed the attribution ecosystem.


What you'll do...

  • 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.
  • 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.

You'll have...

  • 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.

Even better, you may have...

  • 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.
  • Experience in automotive, mobility, MarTech, or marketing measurement/optimization functions.
  • Demonstrated success driving adoption of analytics products across complex, cross-functional organizations.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!


As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• 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. 

This position is leadership level 6 and ranges from $132,800-$250,800. 

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.


For more information on salary and benefits, click here: New Hire Benefits

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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Skills Required

  • 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, including hypothesis testing, regression, and 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, including identifying, troubleshooting, and resolving data issues across systems
  • Experience delivering dashboards and reporting to business stakeholders
  • 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 platforms, methodologies, and/or Media Mix Modeling
  • Applied experience with causal inference, uplift modeling, or experimentation design to evaluate marketing effectiveness
  • Hands-on experience building or validating statistical or machine learning models in Python
  • Experience with Google Cloud Platform 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 such as Qlik, Looker, or Power BI
  • Experience applying Generative AI tools to improve data science and analytics workflows
  • Experience in automotive, mobility, MarTech, or marketing measurement/optimization functions
  • Demonstrated success driving adoption of analytics products across complex, cross-functional organizations

Ford Motor Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.

  • Healthcare Strength Medical, dental, and vision coverage start on day one with options that include zero-premium plans, free mental health support, and wellness resources. For represented hourly employees, health plans are described as low-cost with strong coverage value.
  • Retirement Support A 401(k) with company match and additional company contributions is available from day one, alongside life and disability coverage. Pension eligibility in certain situations and financial-planning support reinforce long‑term security.
  • Parental & Family Support Paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp‑up program for returning parents, reflect a family‑focused package. Flexible Family Care days and generous time‑off options help address short‑term caregiving and personal needs.

Ford Motor Company Insights

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The Company
HQ: Dearborn, MI
175,633 Employees
Year Founded: 1903

What We Do

Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.

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