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Company

CDK Global · 22 hours ago

Director, Applied AI Engineering [US - Remote]

United States

Full-time

Remote

Director/Executive

$205K/yr - $250K/yr

10+ years exp

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Responsibilities

You will establish and lead the AI Value Engineering and AI Center of Excellence at CDK through close collaboration across product engineering, data science, product management, platform engineering, and software engineering. The focus of the AI Value Engineering and CoE is to accelerate the impact of AI/ML across CDK’s businesses to enhance our customers' experience, make our products more intelligent.

You will build and lead a strong team to develop, deploy and manage state of art AI/ML models in production which include classic ML, and Large Language Models/GenAI.

You will be an effective evangelist of AI and ML, helping executives and stakeholders understand the capabilities and potential value of AI/ML as well as its limitations. Leveraging a team of dedicated product managers, you will oversee the manifestation of AI roadmaps for the various focus areas across CDK’s businesses. To do this you’ll work closely with executives and relevant business units, providing ideas and insights to identify opportunities where ML solutions can drive meaningful business results. Part of this will include insights into build vs buy decision making.

You will play a crucial role in determining which technologies, services, toolkits, data structures, and methodologies should be utilized to effectively achieve AI objectives.

Success in this role means effectively driving the company’s business metrics through consistent execution of AI initiatives.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI EngineeringMachine LearningData ScienceMLOpsData AnalyticsAgile MethodologiesArtificial IntelligenceProject ManagementCustomer-Centric MindsetStrategic OrientationStructured ThinkingCollaboration SkillsLeadership Experience

Required

Bachelor’s, master’s in computer science, Electrical Engineering, MBA or related fields

10+ years comprehensive advanced analytics, research, modeling/data science or relevant experience

Must have previous experience managing direct report

Leadership experiences in leading artificial intelligence and machine learning teams on a variety of business impacting areas that enabled innovation and business outcomes.

A strong record in delivering machine learning and/or data products including defining ML problems, identifying data strategy, building AI/ML MVP and scaling/production of a prototype to full-scale production.

Experience leading and executing cross functional projects with remote and distributed teams and vendor partners. Familiarity and proficiency with agile methods and tools to support project management in a timeline sensitive environment.

A strong understanding of the technical aspects of AI/ML and business needs. Ability to bridge the gap between business and technology with respect to artificial intelligence.

Ability to go deep technically on which AI methodologies are best suited to specific business and customer problems, as well as elevate your thinking to consider business and strategic implications.

Ability to facilitate thoughtful and constructive conversations within and outside the team with an ability to communicate complex ideas effectively.

Enjoys making difficult things happen, leading the way in doing things for the first time, changing current ways of working and solving the many challenges along the way.

Strong analytical skills to effectively create recommendations, influence decision-making, assess impacts, compare solutions, problem solve, and achieve business and/or technical objectives.

Ability to learn quickly (technology, business models, target industries)

Entrepreneurial spirit and a vibrant personality

Strategic orientation with an attention to detail

Structured thinking, ability to remove ambiguity and work under pressure.

Proficiency to work closely and collaboratively with multiple departments and executives, and in cross-functional teams.

High accountability when it comes to meeting deadlines and ship dates, and ability to lead numerous projects simultaneously under time constraints.

Provides leadership and vision for development and implementation of Artificial Intelligence.

Sets and drives cross-functional objectives and priorities and forms a vision for the future of the enterprise.

Effectively influences across multiple teams, senior leaders, organizations, and/or enterprise.

Demonstrates the vision and thought leadership necessary to set broad technical direction and can communicate/articulate a clear vision of services.

Influences all levels and contributes to the transformation agenda.

Leads functional objectives and priorities across multiple platforms, technologies and teams