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Director Machine Learning Jobs in Atlanta, GA (NOW HIRING)

Neptune

Data Scientist

Duluth, GA · On-site

... self-directed learning and training. Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science ...

neptune technologies

Data Scientist

Duluth, GA

... self-directed learning and training. Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

... machine learning models and data-driven solutions that enhance our water utility intelligence ... This role provides direct impact on utility operations, water conservation efforts, and customer ...

Visa

Sr Director - Card Risk Solutions

Atlanta, GA · On-site

Your future team produces industry leading machine learning models and decision systems whose actions protect hundreds of millions of cardholders and accountholders from fraud and financial crime ...

Visa

Sr Director - Card Risk Solutions

Atlanta, GA · On-site

Your future team produces industry leading machine learning models and decision systems whose actions protect hundreds of millions of cardholders and accountholders from fraud and financial crime ...

Verizon

Assoc Dir-Tech Product Mgt

Alpharetta, GA · On-site

Associate Director Verizon Connect (VZConnect) is guiding a connected world on the go by automating ... machine learning capabilities, with an emphasis on serving Enterprise customers. You will work with ...

Carter's

Lead Data Analyst COE

Atlanta, GA · On-site

This role typical reports to Director, Analytics COE & Strategy and is based in our Buckhead Office ... Build and deploy machine learning models * Monitor and maintain machine learning models Data ...

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Showing results 1-20

All JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Atlanta, GA

Director Machine Learning information

See Atlanta, GA salary details

$34.6K

$88.4K

$135.6K

How much do director machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for director machine learning in Atlanta, GA is $88,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $101,900.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to senior roles such as Director of Machine Learning or Chief AI Officer, which involve leading AI strategy, managing teams, and developing advanced models. These positions often require extensive experience, expertise in machine learning frameworks, and strong leadership skills, with compensation reflecting high-level responsibilities and industry demand.

Which 3 jobs will survive AI?

For a Director of Machine Learning, roles that require complex problem-solving, strategic oversight, and domain expertise are likely to persist, such as AI research scientists, data science managers, and AI ethics specialists. These positions involve high-level decision-making, creativity, and understanding of nuanced human contexts that are difficult for AI to fully replicate. Skills in leadership, critical thinking, and advanced technical knowledge will remain valuable in these roles.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML Engineer or Data Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be significantly above average for many other roles in technology and data analysis.

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.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, deep learning, and leadership often command higher compensation, especially in tech hubs or large organizations.

What is a Director Machine Learning job?

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 of 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 most commonly searched types of Machine Learning jobs in Atlanta, GA? The most popular types of Machine Learning jobs in Atlanta, GA are:
What are popular job titles related to Director Machine Learning jobs in Atlanta, GA? For Director Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Director Machine Learning jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Director Machine Learning jobs? Cities near Atlanta, GA with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Atlanta, GA as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $88,407 per year, or $42.5 per hour.
Senior Director, Assortment Planning & Modeling

Senior Director, Assortment Planning & Modeling

GPC - Genuine Parts Company

Atlanta, GA • On-site

Full-time

Posted 9 days ago

Genuine Parts Company rating

6.8

Company rating: 6.8 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

218th of 343 rated retail wholesalers

Job description

Job Summary

The Senior Director, Assortment Planning & Modeling is responsible for defining and executing the enterprise assortment strategy across all channels, categories, and customer segments while leading the transformation from traditional planning methodologies to AI-powered decision-making. This leader owns the development of advanced assortment optimization capabilities, predictive modeling, machine learning applications, and AI-driven decision support tools that improve inventory productivity, customer satisfaction, sales growth, and profitability. The role serves as the strategic bridge between Merchandising, Inventory Planning & Replenishment, Data Science, Supply Chain, Finance, and Technology to ensure product assortments are continuously optimized through intelligent automation, predictive analytics and scalable governance frameworks.

The Senior Director will lead and develop a high-performing team focused on building next-generation capabilities that enable the organization to place the right products in the right locations at the right time with minimal manual intervention.

Responsibilities

Enterprise Assortment Strategy

  • Develop and execute the long-term enterprise assortment strategy.
  • category-specific assortment frameworks across all product lines.
  • Establish localized assortment strategies based on customer, vehicle, demographic, and market demand characteristics
  • Lead SKU rationalization initiatives to improve inventory productivity and profitability.
  • Develop lifecycle management processes for new item introductions, product substitutions, supersessions, and obsolescence.
  • Partner with Merchandising leadership to align assortment decisions with enterprise growth objectives.

Advanced Analytics & Optimization

  • Leverage predictive modeling, machine learning, and optimization techniques to improve assortment decisions and inventory placement.
  • Develop analytical models that identify assortment gaps, duplication, cannibalization, and expansion opportunities.
  • Implement data-driven frameworks that anticipate customer demand shifts and emerging market trends.
  • Enable intelligent recommendation engines that support planners with scalable, explainable decision support.
  • Drive autonomous assortment recommendations through advanced optimization engines.
  • Establish AI governance processes that ensure explainability, transparency, and trust in automated recommendations.
  • Continuously improve algorithm accuracy through feedback loops and performance monitoring.

Advanced Modeling & Data Science

  • Lead development of predictive models supporting assortment, demand forecasting, inventory placement, and network optimization.
  • Develop customer segmentation models that improve assortment localization.
  • Establish digital twins and simulation capabilities to evaluate assortment scenarios before implementation.
  • Utilize machine learning techniques to optimize SKU productivity and category performance.
  • Build analytical frameworks that quantify the financial impact of assortment decisions.
  • Partner with technology teams to operationalize advanced models into business workflows.

Intelligent Systems Transformation Leadership

  • Develop and execute a multi-year roadmap of assortment planning through analytics and intelligent automation.
  • Drive organizational change management and adoption of AI-driven decision-making.
  • Transition planning teams from transactional analysis to strategic exception management.
  • Establish governance processes that balance automation with human oversight.
  • Build organizational capability around AI literacy and advanced analytics.
  • Create a culture that embraces experimentation, continuous learning, and innovation.

Network & Market Optimization

  • Define assortment strategies by distribution center, market, store cluster, customer segment, and channel.
  • Optimize inventory placement across the supply chain network.
  • Identify opportunities to improve fill rates while reducing inventory investment.
  • Develop market-specific assortment strategies that maximize customer relevance.
  • Utilize predictive analytics to improve inventory productivity across all stocking locations.

Financial & Performance Management

  • Own assortment-related financial performance metrics.
  • Establish productivity targets for assortment optimization initiatives.
  • Quantify and track benefits generated from AI and advanced analytics investments.
  • Develop executive-level reporting and KPI dashboards.
  • Ensure assortment decisions support revenue growth, margin expansion, inventory turns, and cash flow objectives.
  • Partner with Finance to measure realized value from transformation initiatives.

Cross-Functional Leadership

  • Partner closely with Merchandising, Supply Chain, Inventory Planning, Technology, Data Science, Marketing, and Finance.
  • Influence senior executives on strategic assortment decisions.
  • Lead cross-functional steering committees focused on assortment optimization and intelligent systems adoption.
  • Align enterprise stakeholders around a common assortment strategy and operating model.

Team Leadership

  • Lead and develop a high-performing organization consisting of:
  • Directors of Assortment Planning
  • Assortment Strategy Managers
  • Data Scientists
  • Machine Learning Engineers
  • Assortment Analysts
  • Business Intelligence Specialists
  • Build succession plans and leadership pipelines.
  • Establish performance expectations focused on innovation, execution, and business impact.
  • Develop future-ready capabilities across the organization.

Qualifications

  • Bachelor's degree in Business, Economics, Supply Chain, Analytics, Engineering, Mathematics, Statistics, or related field.
  • 12+ years of progressive leadership experience in assortment planning, merchandising, inventory optimization, analytics, or related disciplines.
  • 5+ years leading large-scale transformation initiatives.
  • Experience implementing advanced planning systems and assortment optimization tools.
  • Strong understanding of machine learning, predictive analytics, and intelligent applications in retail or distribution environments.
  • Proven ability to influence executive stakeholders and drive organizational change.
  • Experience leading large cross-functional teams

Leadership

  • Embodies the following values: serve, perform, influence, respect, innovate, team.
  • Delivers results and drives customer success by committing and focusing on outcomes to deliver results and making the customer the center of decisions.
  • Strategic Vision: Creates a future-state vision where AI and advanced analytics fundamentally improve decision quality and business performance.
  • Enterprise Thinking: Balances category, customer, network, and financial objectives to optimize overall enterprise value.
  • Digital & AI Leadership: Leverages emerging technologies to create sustainable competitive advantage.
  • Data-Driven Decision Making: Uses analytics, predictive modeling, and machine learning to improve business outcomes.
  • Change Leadership: Successfully leads large-scale organizational transformation and adoption.
  • Talent Development: Builds high-performing teams capable of operating in a highly automated, AI-enabled environment.
  • Executive Influence: Communicates complex analytical concepts in ways that drive executive action and alignment.
  • Innovation: Challenges traditional planning methodologies and continuously seeks new opportunities to improve performance through technology and automation.

Physical Demands / Working Environment

  • Prolonged periods of sitting at a desk and working on a computer
  • Frequent use of hands and fingers for typing and operating office equipment
  • Occasional standing and walking during meetings or site visits
  • Ability to travel (air and ground) as required for business needs
  • Ability to lift up to 15-25 pounds occasionally (e.g., laptop bag, materials)
  • Visual acuity to review documents, data, and presentations
  • Ability to communicate effectively in person, via phone, and in virtual settings

Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!

GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

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