VP, Enterprise Data Science & AI

Hiring near our Stamford, CT and Irving, TX Centers of Excellence - hybrid work environment.

About Gartner IT:

Join a world-class team of skilled professionals who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.

About the role:

The Enterprise Data Science & AI Leader at Gartner is a pivotal role dedicated to enhancing data quality through innovative, programmatic, and algorithmic solutions, driving the development, deployment, and continuous optimization of data science models. This leader will own Gartner's firmographic and demographic algorithms, focusing on improving the accuracy, completeness, and enrichment of enterprise, account, and contact data. They will leverage internal and external data sources, including third-party databases and open datasets, to deliver a comprehensive and enriched view of organizations and contacts. These improvements in data quality are foundational for providing precise, actionable insights to Gartner's clients. Additionally, the Enterprise Data Science & AI Leader will prioritize and develop high-impact AI use cases while establishing rigorous standards for model performance, accuracy, and scalability to ensure alignment with Gartner's strategic objectives. Collaborating closely with cross-functional teams, this leader will set a high bar for Gartner's data science and AI capabilities.

What you'll do:

Data Quality & Enrichment through Algorithmic Solutions:

• Lead data science and algorithmic initiatives to elevate the quality and depth of Gartner's data assets, ensuring high accuracy, reliability, and completeness standards.
• Take ownership of firmographic and demographic algorithms, leveraging internal data and external sources such as third-party databases, open datasets, and verified sources. Use these algorithms to continuously refine and enrich enterprise, account, and contact data for more significant client impact.

Data Science & AI Model Development and Deployment:

• Design, develop, and deploy scalable AI models that drive data quality improvements, supporting Gartner's strategic goals and maintaining data integrity across its platforms.
• Ensure models are robust, well-tested, and capable of integrating new data sources seamlessly to keep pace with evolving business needs.

AI Use Case Prioritization and Strategic Alignment:

• Identify and prioritize AI use cases with the greatest potential for impact. Collaborate with senior leaders to align AI projects with Gartner's strategic objectives and operational priorities.

Model Accuracy, Performance, and Scalability:

• Establish and enforce rigorous standards for model accuracy and scalability. Develop automated testing, validation, and monitoring processes to ensure deployed models maintain high performance and adapt to changing data conditions.

AI Risk & Ethical Considerations Management:

• Implement frameworks to address AI risk and ethical considerations, ensuring compliance with industry standards and ethical guidelines. Maintain model transparency, fairness, and bias mitigation oversight across all AI projects.

Data Science & AI Standards and Best Practices:

• Develop and institutionalize best practices for data science and AI development, deployment, and monitoring. Champion a culture of continuous improvement and operational excellence in data science and AI initiatives.

Stakeholder Collaboration & Engagement:

• Build strong cross-functional relationships to embed data science and AI solutions across Gartner's business units. Engage with data governance, IT, and product teams to integrate programmatic data quality enhancements and align on strategic goals.

What you'll need:

• Bachelor's degree in Data Science, Computer Science, Statistics, Information Management, or related field; Master's or Ph.D. preferred.
• 15+ years in data science, AI, data governance, or similar roles, with demonstrated experience in algorithm-driven data enrichment.
• Expertise in developing and managing data science and AI models, particularly with firmographic and demographic data.
• Proven ability to lead cross-functional teams, influence stakeholders, and drive strategic alignment on data science and AI initiatives.
• Proficiency in data science tools and programming languages (e.g., Python, R, SQL) and experience with platforms that support model management and enrichment.
• Comprehensive understanding of AI ethics, risk management, and industry compliance, with experience implementing best practices for transparency and accountability in AI.

Note: This job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

What you will get:

• Competitive compensation.
• Limitless growth and learning opportunities.
• Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more!
• A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.
• A chance to make an impact - your work will contribute directly to our strategy.
• A hybrid work environment-enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.
• 20+ PTO days plus holidays and floating holidays in your first year.
• Extensive medical, dental insurance and vision plan.
• 401K with corporate match, immediate vesting.
• Health-and-wellness-related allowance programs.
• Parental leave.
• Tuition reimbursement.
• Employee Stock Purchase Plan.
• Employee Assistance Program.
• Gartner Gives Charity Match
• And much more!

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Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

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