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Director Machine Learning Jobs in Fairfield, OH (NOW HIRING)

Pwc

CTIO - AI Engineer- Senior Manager

Cincinnati, OH · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

New

Pwc

AI Solutions Engineering Delivery Lead

Cincinnati, OH · On-site

$98K - $129K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Miamioh

Director, Business Intelligence Team

Oxford, OH · On-site

$155K/yr

Job Title Director, Business Intelligence Team Department Solution Delivery Worker Type Regular Pay ... Experience applying predictive analytics, machine learning, or AI capabilities to business or ...

Arbors

Maintenance Director

Milford, OH · On-site

Career Development: Opportunities for learning, training, and advancement to help you grow ... Schedules repair and maintenance of machines, tools, and equipment to ensure efficient operations.

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Fairfield, OH

Director Machine Learning information

See Fairfield, OH salary details

$33.9K

$86.6K

$132.8K

How much do director machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director machine learning in Fairfield, OH is $86,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $99,800.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Fairfield, OH?

The most popular types of Machine Learning jobs in Fairfield, OH are:

What cities near Fairfield, OH are hiring for Director Machine Learning jobs?

Cities near Fairfield, OH with the most Director Machine Learning job openings:

Director Machine Learning jobs near you

Director, Business Intelligence Team

Miami University

Oxford, OH • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Miami University is seeking a Director of Business Intelligence & Analytics to lead the institution's efforts in delivering trusted and actionable data for informed decision-making. This role involves setting the direction for modern analytics and data solutions, building a high-performing team, and advancing the University's data architecture to enhance institutional trust and data usability.
Responsibilities:
• Partner with institutional data and analytics leaders to shape and advance a shared vision for modern, trusted analytics aligned to evolving data architecture practices.
• Lead the continued rebuilding and advancement of the University’s data platform, guiding the evolution of warehouses, lakehouses, and data marts toward a more scalable, integrated ecosystem.
• Work collaboratively across the institution to reduce data silos and support the rehoming of data into secure, standardized, and sustainable environments.
• Ensure data is reliable, well-managed, and accessible, establishing practices that strengthen institutional trust and long-term usability.
• Guide and deliver analytics and reporting solutions that provide clear, actionable insights aligned to institutional priorities.
• Expand and support self-service analytics and advance data literacy across the institution, enabling confident and effective use of data in decision-making.
• Build, lead, and develop a high-performing, multi-disciplinary team of analytics, data engineering, and reporting professionals.
• Establish strong, collaborative relationships with academic and administrative leaders to understand priorities and deliver meaningful, aligned solutions.
• Provide insights and guidance to senior leaders to support institutional strategy and decision-making.
• Lead institutional change efforts related to data, analytics, and platform modernization, ensuring coordination, clear direction, and measurable outcomes.
• Accountable for the delivery and effectiveness of institutional analytics solutions, ensuring alignment with data governance strategy, privacy, security, and consistent practices.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree or higher in Data Science, Statistics, Computer Science, or a related field earned by date of hire
• AND eight or more years of progressively responsible experience in data, analytics, or related disciplines
• AND direct experience leading direct reports and functional teams
• AND leading an institution-level major initiative in analytics, data engineering, or business intelligence.
Preferred:
• Master’s degree in Data Science, Statistics, Computer Science, or a related field
• Experience in higher education or similarly complex and/or siloed organizations
• Experience with Workday FIN/HR/Payroll and Student data structures, integrations, and reporting (PRISM or similar; Banner a plus)
• Experience with cloud-based data ecosystems and modern data architectures (e.g., Snowflake, Tableau, dbt, Airflow, etc.)
• Experience applying predictive analytics, machine learning, or AI capabilities to business or institutional challenges
• Relevant certifications or formal training in data, analytics, or leadership
Company:
Miami University is a public university located in Oxford, Ohio. Founded in 1809, the company is headquartered in Oxford, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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