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Director Machine Learning Jobs in Pittsburgh, PA

Qeexo, Co.

Senior Account Executive

Pittsburgh, PA · On-site

Demonstrate a strong understanding of machine learning applications, AI platforms, and customer ... Personal Attributes Highly self-directed, confident, and resilient in managing complex and long ...

Qeexo, Co.

Senior Account Executive

Pittsburgh, PA

Demonstrate a strong understanding of machine learning applications, AI platforms, and customer ... Personal Attributes Highly self-directed, confident, and resilient in managing complex and long ...

Devon Energy

Senior Reservoir Engineer

Pittsburgh, PA · On-site

This is a highly visible role with direct exposure to senior leadership and significant opportunity ... machine learning tools to identify opportunities, accelerate asset evaluations, and improve ...

Devon Energy

Senior Reservoir Engineer

Pittsburgh, PA · On-site

This is a highly visible role with direct exposure to senior leadership and significant opportunity ... machine learning tools to identify opportunities, accelerate asset evaluations, and improve ...

Qeexo, Co.

Senior Account Executive

Pittsburgh, PA · On-site

$150K/yr

Demonstrate a strong understanding of machine learning applications, AI platforms, and customer ... Personal Attributes • Highly self-directed, confident, and resilient in managing complex and long ...

PNC

Technology Undergraduate Intern

Pittsburgh, PA

$18 - $35/hr

Past example internship projects include machine learning development, automating current manual ... Self-Directed Growth and Development Work Experience Roles at this level are filled by recent ...

Pwc

US Tech - AI Engineering Manager

Pittsburgh, PA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

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Director Machine Learning information

See Pittsburgh, PA salary details

$33.6K

$85.9K

$131.8K

How much do director machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director machine learning in Pittsburgh, PA is $85,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $99,000.00 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 Pittsburgh, PA?

The most popular types of Machine Learning jobs in Pittsburgh, PA are:

What are popular job titles related to Director Machine Learning jobs in Pittsburgh, PA?

For Director Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Pittsburgh, PA look for?

The top searched job categories for Director Machine Learning jobs in Pittsburgh, PA are:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $85,904 per year, or $41.3 per hour.

Director, AI and Data Enablement

Koppers, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 25 days ago

Koppers rating

8.1

Company rating: 8.1 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

34th of 104 rated chemical manufacturers

Job description

Job Responsibilities
The Director, AI and Data Enablement will build and scale enterprise artificial intelligence ("AI"), digital capabilities, and a data operating and governance model that enables measurable business impact across Koppers.
Enterprise AI and Data Enablement Strategy
  • Build the enterprise AI and data enablement roadmap, governance structure, and operating model, with a focus on business value and platform-based capabilities.
  • Identify, prioritize, and evaluate AI and analytics use cases across manufacturing, commercial, supply chain, finance, safety, legal, and corporate functions through a clear intake, governance, and value-assessment process.
  • Partner with senior leaders to shape the enterprise AI agenda, prioritize the highest-value opportunities, and align investments with strategic business outcomes.

AI Enablement and Adoption
  • Drive adoption of AI capabilities embedded in existing enterprise platforms, including Microsoft, ERP, EHS, CRM, supply chain, analytics, and related systems.
  • Identify opportunities to leverage existing enterprise technology capabilities and vendor innovations before pursuing custom AI development.
  • Establish and lead an AI Center of Enablement that supports business users with education, consultation, governance, and use-case prioritization.

Business Partnership and Value Realization
  • Partner with business and functional leaders to identify practical AI opportunities to improve productivity, safety, quality, cost, customer experience, and operational performance.
  • Apply product management principles to develop reusable data products, AI-enabled workflows, decision-support tools and scalable capabilities to solve business problems.
  • Develop communication, training, and change management strategies that drive successful adoption of AI technologies and data-driven decision making.
  • Measure and communicate outcomes including productivity improvements, cost savings, revenue opportunities, risk reduction, quality improvements, and operational efficiencies.

Data Governance and Enterprise Data Enablement
  • Partner with business and technology leaders to strengthen enterprise data governance, data quality, master data management (MDM), and data stewardship practices.
  • Establish standards for data ownership, quality, metadata management, lifecycle management, and governance processes.
  • Support development of reusable data assets and enterprise data capabilities that improve scalability of AI and analytics initiatives.
  • Collaborate with enterprise architecture, data platforms, and application teams to ensure data platforms support enterprise AI and analytics objectives.
  • Support the development and execution of enterprise data strategies that improve accessibility, quality, consistency, and business value.

AI Governance, Risk, and Responsible AI
  • Establish responsible AI standards, controls, and governance in partnership with Legal, Cybersecurity, Compliance, HR, Internal Audit, and business leadership.
  • Maintain governance and approval processes for AI use cases, third-party AI solutions, and emerging technologies.
  • Monitor evolving AI regulations, industry trends, and emerging risks and incorporate them into enterprise governance practices.

Qualifications
  • Bachelor's degree in information systems, Computer Science, Data Science, Engineering, Business Analytics, Mathematics, Statistics, or a related field; Master's degree preferred.
  • Experience in manufacturing, chemicals, or other asset-intensive industries preferred.
  • Proficiency in technology, data, analytics, digital transformation, AI, enterprise applications, or related disciplines.
  • Experience driving adoption of AI capabilities across Microsoft, ERP, CRM, EHS, supply chain, analytics, collaboration, and productivity solutions preferred.
  • Expertise in enterprise AI adoption, data enablement, analytics, governance, digital transformation, or technology initiatives that delivered measurable business outcomes.
  • Familiarity with Microsoft Azure AI, Microsoft Copilot, Microsoft Fabric, Power BI, Databricks, Snowflake, Oracle, Salesforce, SQL, Python, or similar technologies preferred.
  • Strong program management, stakeholder management, and change management skills.
  • Familiarity with enterprise data governance, master data management (MDM), and data quality programs preferred.
  • Strong understanding of enterprise data management, data governance, AI governance, enterprise applications, security, privacy, and enterprise technology architecture.
  • Strong knowledge of generative AI, agentic AI, predictive analytics, machine learning concepts, data visualization, and enterprise AI platforms.
  • Familiarity with cloud architecture, APIs, data integration, enterprise architecture, and AI platform ecosystems preferred.
  • Certification or training in AI, cloud platforms, project management, data governance, cybersecurity, or enterprise architecture preferred.
  • Proven ability to communicate complex technical concepts to non-technical audiences.

Koppers Inc. and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category or characteristic protected by federal law, state or local law.

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