Director AI & Data

About Ping Identity: 

At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it. 

Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear. 

While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work. 

We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management. 

Lead and direct Ping Identity's business intelligence, generative AI, and internal innovation technology initiatives. Drive strategic planning, development, and implementation of cutting-edge technologies to enhance business operations and competitive advantage.

 

Responsibilities

 

Strategic Leadership

• Develop and execute strategic roadmaps for business intelligence, generative AI, and internal innovation.
• Identify and evaluate emerging technologies and trends to inform strategic decisions.
• Collaborate with executive leadership to align technology initiatives with business objectives.

Business Intelligence

• Oversee the development and maintenance of business intelligence systems and tools, including platforms like Tableau and Databricks.
• Analyze data to provide insights and recommendations for business improvement.
• Ensure data integrity, security, and accessibility through robust data governance practices.

Generative AI

• Establish the technology and process foundation for the adoption of generative AI solutions.  
• Partner with the business on identifying and prioritizing high-value gen’ AI use cases.
• Guide the selection of off-the-shelf and assembled AI solutions.
• Explore and implement AI models for automation, content generation, and decision support, leveraging cloud platforms like AWS and Google.
• Run and maintain implemented gen’ AI solutions.  
• Monitor and optimize AI performance and ethical considerations.

Internal Innovation

• Foster a culture of innovation within the organization.
• Manage internal innovation programs and initiatives.
• Evaluate and implement new technologies and processes to improve efficiency.

Team Management

• Lead and manage a team of technical professionals consisting of business intelligence, AI and customer development skillsets.  
• Provide mentorship, guidance, and professional development opportunities.
• Ensure effective collaboration and communication within the team.

Qualifications and Experience

• Proven experience in leading business intelligence, AI, and innovation initiatives.
• Strong understanding of data analytics, AI technologies, and innovation methodologies.
• Experience in managing technical teams and projects.
• Hands-on experience with relevant technologies (e.g., Databricks, AWS, Tableau) and widely-used large language models.
• Demonstrated experience in implementing and maintaining data governance frameworks.

Skills

• Strategic thinking and planning.
• Data analysis and interpretation.
• AI development and deployment.
• Project management.
• Communication and leadership.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.

Metrics and Performance Indicators

Area

Metric

Business Intelligence

Data accuracy, report generation speed, user adoption of BI tools.

Generative AI

Model performance, cost savings from automation, user satisfaction with AI tools.

Internal Innovation

Number of new ideas generated, implementation rate of successful innovations.

Team Management

Team productivity