Sr. Manager, Yield Management GTM Advanced Analytics

Ford Motor


Job Location:

Dearborn, MI - USA

Monthly Salary: $ 141700 - 268300
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Description

We made history and now we work to transform the future for our customers our communities and our families. Youll 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.

In this position...

We are seeking a visionary and experienced Senior Manager to lead the strategic development deployment and continuous enhancement of cutting-edge AI/ML solutions for Yield this pivotal role you will lead a high-performing team to transform business processes through predictive demand forecasting dynamic segmentation sensitivity analysis and optimization algorithms. The ideal candidate blends deep technical expertise in AI/ML engineering with a proven track record of delivering end-to-end production-grade AI solutions that drive measurable business impact.



Responsibilities

What youll do...

Strategic AI/ML Leadership & Delivery

End-to-End Lifecycle Management: Lead the design validation deployment and monitoring of production-grade AI/ML solutions (e.g. predictive modeling forecasting optimization and segmentation).

Demand Sensing & S&OP: Lead the development maintenance and optimization of advanced demand sensing algorithms to support sales and operations planning (S&OP) and yield management.

Roadmap & Innovation: Drive the strategic AI/ML roadmap identifying innovative use casesincluding Agentic AI for workflow automationto deliver significant business value.

Rapid Prototyping: Foster a culture of rapid prototyping and rigorous testing to quickly validate the business utility of new AI/ML applications.

Technology Strategy & MLOps Excellence

Tech Stack Evolution: Evaluate and adopt emerging AI/ML platforms frameworks and methodologies to enhance solution efficiency scalability and performance.

MLOps & Governance: Establish and enforce robust MLOps practices model governance version control and comprehensive documentation to ensure seamless deployment and retraining.

Responsible AI: Champion ethical AI principles ensuring fairness transparency and data privacy are embedded across the model lifecycle.

Data Quality: Oversee data management practices (sourcing cleaning preprocessing) to ensure high-quality data pipelines for all AI/ML models.

Cross-Functional Collaboration & Stakeholder Engagement

Strategic Alignment: Act as the primary liaison between technical teams and business stakeholders (Sales & Marketing Finance IT) to align AI/ML initiatives with corporate strategy.

Executive Communication: Translate complex algorithmic concepts and technical outcomes into clear actionable insights and recommendations for executive leadership.

People Leadership: Guide and mentor data scientists and AI/ML engineers in technical execution professional growth and stakeholder management.



Qualifications

Youll have...

Masters in Computer Science Artificial Intelligence Machine Learning Data Science Statistics or a closely related quantitative field.

10 years of progressive experience in AI/ML engineering or data science with 35 years of experience directly leading and managing technical teams.

Proven experience building and deploying production-grade predictive models time-series forecasting and optimization algorithms.

Hands-on experience building and deploying Agentic AI solutions for complex workflow automation.

Advanced proficiency in Python and core ML libraries (e.g. PyTorch TensorFlow scikit-learn). Strong command of SQL.

Proven experience deploying and managing AI/ML workloads on cloud platforms (AWS Azure or GCP) using MLOps tools.

Experience developing user-facing applications or dashboards (e.g. Streamlit Dash Flask/Django) for model consumption.

Even better you may have...

Ph.D. in Computer Science Artificial Intelligence Machine Learning Data Science Statistics or a closely related quantitative field.

Prior management consulting experience and/or extensive experience collaborating with third-party consulting teams to deliver strategic projects.

Direct experience in Yield Management Revenue Management Supply Chain or S&OP within the automotive manufacturing or related industries.

Familiarity with containerization (Docker Kubernetes) and distributed computing frameworks (Spark) for large-scale data and model training

You may not check every box or your experience may look a little different from what weve 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 builderor 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 Years Day

Paid time off and the option to purchase additional vacation time.

This position is leadership level 5 and ranges from $141700-$268300.

Final determination of salary grade will be based on candidates 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: 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 the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid

#LI-RR1




Required Experience:

Manager

DescriptionWe made history and now we work to transform the future for our customers our communities and our families. Youll 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.In this position...W...

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