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Director Machine Learning Jobs in Phoenix, AZ (NOW HIRING)

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Machining Operations Management * Direct all machining activities, including CNC machining ... Foster a culture of accountability, teamwork, collaboration, and continuous learning. * Lead ...

Machining Operations Management: * Direct all machining activities, including CNC machining ... Foster a culture of accountability, teamwork, collaboration, and continuous learning. * Lead ...

Identify and pursue sales opportunities through direct prospecting, lead follow-up, networking, and ... Develop and maintain a working understanding of machine learning applications and relevant business ...

Identify and pursue sales opportunities through direct prospecting, lead follow-up, networking, and ... Develop and maintain a working understanding of machine learning applications and relevant business ...

Account Executive

Phoenix, AZ · On-site

$130K/yr

Identify and pursue sales opportunities through direct prospecting, lead follow-up, networking, and ... Develop and maintain a working understanding of machine learning applications and relevant business ...

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 ...

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Director Machine Learning information

See Phoenix, AZ salary details

$35.7K

$91.3K

$140K

How much do director machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for director machine learning in Phoenix, AZ is $91,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $105,200.00 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 Phoenix, AZ?

The most popular types of Machine Learning jobs in Phoenix, AZ are:

What are popular job titles related to Director Machine Learning jobs in Phoenix, AZ?

For Director Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:

What cities near Phoenix, AZ are hiring for Director Machine Learning jobs?

Cities near Phoenix, AZ with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $91,281 per year, or $43.9 per hour.

PEPI: Director, Pricing--Commercial Excellence (OPEN TO ALL U.S. LOCATIONS)

Phoenix, AZ


Alvarez and Marsal
Business Management Consulting • 5 - 10K employees

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

51st of 72 rated business consultants

Good employer

Respectful managers

Good training


Full-time

Medical, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Description

Alvarez & Marsal Private Equity Performance Improvement

Director, Pricing—Commercial Excellence

(OPEN TO ALL U.S. LOCATIONS)

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 13,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

A&M’s Private Equity Performance Improvement Services (PEPI) practice, with offices throughout the US, focuses on serving the middle market and large cap private equity firms who have engaged A&M to help improve operating results at their portfolio companies.   

Our professionals are aligned with a PEPI service line to promote the development of deep functional skills & experiences and to maximize our ability to tailor solutions to solve our clients' business issues. 

Our PEPI services include:

AI Transformations

Transformation Services

CDD/Strategy

Interim Management

Manufacturing Operations Improvement

Supply Chain

CFO Services

The AI-driven Commercial and Operations transformations team is a rapidly growing practice serving private equity firms and large corporates on commercial excellence, pricing strategy, and AI-enabled transformation of commercial operations. Our teams partner with clients to unlock commercial value by driving revenue and margin improvements through advancing pricing strategy, custom AI & ML pricing engines, optimize sales operations using custom AI agents and AI-augmented decision-making, enhance sales effectiveness and enablement using ML & AI solutions and optimize commercial org for the future. We are expanding our leadership bench across pricing, sales operations, and AI delivery to meet exceptional demand across our portfolio. We offer excellent opportunities for career advancement and building leadership skills. The leadership team is focused on providing career development, training and exposure to international business assignments. 

How You Will Contribute

Advise companies in the areas of Revenue & Margin Improvement through Price optimization, sales effectiveness, margin transparency, product portfolio optimization and SKU rationalization, sales operations efficiency, customer churn and retention and margin recovery, leveraging ML & AI tools and  models.  Our team focuses on driving performance improvements in top-line revenue, margin improvement and marketing mix optimization.  The ideal candidate must be capable of managing teams of Alvarez & Marsal professionals to address complex business challenges within Commercial Excellence.  The right person will be highly skilled at communicating with C-level management, conceiving, and structuring analytical plans to uncover drivers of performance, designing actionable solutions to drive Revenue & Margin improvements, and developing implementation plans.

The Pricing Director must have a proven track record leading or co-leading major pricing and commercial excellence consulting engagements at a top-tier consulting firm, with demonstrated ability to shape client strategy and execution, or, held leadership roles (Director/VP level) in a corporate commercial, pricing, or revenue function, responsible for pricing strategy, pricing governance, or commercial excellence initiatives

Additionally, the ideal candidate must show:

  • Demonstrated success building and delivering AI tools, machine learning models, or agentic solutions that have materially impacted pricing, revenue, and margins commercial execution, or customer value creation
  • Ability to translate client pricing and margin challenges into AI-enabled opportunities and lead delivery from concept through implementation of pricing engines, tools, discount management and governance process, and org changes
  • Track record of attracting and developing high-performing teams on complex, multi-faceted engagements in the B2B or B2C space

Professional Skills

Project Management: Own and manage the high-quality execution of individual projects. End-to-end project management will include roadmap design, management of the project team and plan, and development and presentation of final deliverables.

Project Fulfillment: Contribute to project work by combining creative problem solving with analytical rigor to drive actionable insights. Representative project work includes developing margin transparency, pricing analysis, reporting frameworks and dashboards, performing B2B/B2C customer segmentation and statistical modeling.

Data Manipulation & Analysis: Work with project team to understand, manipulate and analyze client and market data using various tools, which may include: MS Excel, SQL Server, Alteryx or Tableau, Python, and LLMs

ML & AI: Leverage prior knowledge and experience in using ML and AI tools to drive pricing and margin improvements and guide junior staff in developing custom pricing tools and engines.

People & Team Leadership: Motivate, develop, and challenge all members of project teams to exceed client expectations. Provide value-added thinking and mentorship to ensure junior team members develop over time and are satisfied.

Client Relations: Manage client relationships on a day-to-day basis while collaborating with internal client team members. Partner with client teams to define project requirements, develop hypotheses, gather data, brainstorm alternatives, and generate recommendations.

Qualifications:

  • Industry Experience, B2B, B2C, B2B2R and Business Services; experience working with PE and/ or PE relationships is a plus.
  • 10+ years’ experience leading client engagements across pricing strategy, commercial operations optimization, and AI-enabled commercial transformation
  • Experience in partnering with commercial technology and AI teams to design and implement cutting-edge solutions (dynamic pricing engines, demand sensing, AI-driven commercial operations, etc.)
  • Strong expertise and knowledge of ML and (preferably AI) to analyze and develop custom pricing engines and solutions
  • Strong quantitative mindset combined with excellent communication and interpersonal skills.
  • Ability to work independently in an unstructured environment, think on your feet, and respond with confidence and creativity
  • Experience in building teams and thought leadership in AI-driven commercial excellence
  • Consulting experience preferred (not required)
  • MBA from a top-tier university preferred (not required)

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

The base salary range is $175,000--$225,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance.  Please ask your recruiter for details.

Full-time Positions and Part-time Positions Over 30 hours

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined from time to time as well as a 401(k) retirement plan. Provided the eligibility requirements are met, employees will also receive a discretionary contribution to their 401(k) from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M’s benefits programs.

Part-time Positions Under 30 hours

Regular employees working less than 30 hours per week are entitled to participate in Alvarez & Marsal Holdings’ 401(k) retirement plan. Provided the eligibility requirements are met, employees will also receive a discretionary contribution to their 401(k) from Alvarez & Marsal. Click here for more information regarding A&M’s benefits programs.

Alvarez & Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.

A&M does not require or administer lie detector tests as a condition of employment or continued employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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