Vice President, Artificial Intelligence & Machine Learning, Data Management

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Executives

Job Qualifications:

Skills:

Artificial Intelligence (AI), Big Data, Machine Learning

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

No

Job Description:

Seize your opportunity to make a personal impact as a Vice President, Artificial Intelligence & Machine Learning, Data Management . GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

As a Vice President, Artificial Intelligence & Machine Learning, Data Management, you will report to the CIO and play a critical role in ensuring today is safe and tomorrow is smarter. This role will support executive internal stakeholders by leading IT strategies and overseeing all AI and Data Management related applications to include development, support and maintenance.

HOW A VICE PRESIDENT, ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI & ML), DATA MANAGEMENT WILL MAKE AN IMPACT:

• Lead, mentor, and inspire a team of Data Scientists, AI & ML Engineers and Analysts while fostering a culture of collaboration, innovation and continuous learning and delivering high impact solutions
• Hands-on (keyboard) experience
• Responsible for managing oversight, outreach initiatives, and internal communications as it pertains to Artificial Intelligence and Machine Learning and Data
• Lead internal enterprise communications on all matters related to Artificial Intelligence and Machine Learning and Data matters through presentations and other outlets
• Develop and implement a comprehensive AI & ML and Data strategy aligned with business objectives & industry best practices
• Support all GDIT Artificial Intelligence and Machine Learning and Data commitments through facilitation, development and maintenance of all applicable policies, procedures, and protocols in collaboration with GD, GDIT and other Business Units
• Responsible for testing and validating machine learning models by using various methodologies and metrics for future deployment
• Provide technical expertise and guidance in AI & ML algorithms, data modeling, data engineering, and data governance and support the deployment across various domains (e.g., natural language processing, computer vision, predictive analytics)
• Lead and direct the monitoring of AI & ML performance to achieve overall GCIO and organizational goals
• Provide technical evaluations by assessing emerging artificial intelligence and machine learning and data management and analytics technologies
• Identify potential risks related to data integrity, security, and compliance, and implement mitigation strategies
• Stay abreast of industry trends, emerging technologies, and best practices in AI & ML, data management and analytics and champion their adoption within the organization
• Design and implement scalable data architecture and infrastructure solutions while leveraging cloud platforms (AWS, GCP, Azure - Government High Space) and big data technologies
• Oversee the development of machine learning systems; Includes designing and implementing algorithms, creating data pipelines, and deploying models for production and utilization
• Collaborate with other IT service owners, stakeholders and Project Management Office (PMO) to provide support and drive the end-to-end execution of AI & ML and Data projects from inception to delivery; Ensure adherence to timelines, budget, and quality standards
• Provide oversight and inputs and subject matter expertise on government and/or industry audits and assessments related to Artificial Intelligence, Machine Learning and Data Lead coordination of Artificial Intelligence and Machine Learning and Data outreach, including oversight of budget and allocation of resources
• Collaborate and partner with cross-functional teams, including within IT, Product Management, and Business Units to understand requirements and deliver impactful data-driven solutions
• Conduct research and reviews external materials to develop and maintain understanding of Artificial Intelligence legislation, government, and customer direction; Includes providing advisory and strategic support related to such activities to internal stakeholders
• Conduct and oversee training on AI & ML and Data reporting, participation plans, resources, tools, and processe