VP, Enterprise Data Science & AI
Company: Gartner
Location: Irving
Posted on: January 26, 2025
Job Description:
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!#LI-RG2#LI-Hybrid#LI-TechnologyWho 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 .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.Gartner
believes in fair and equitable pay. A reasonable estimate of the
base salary range for this role is 160,000 USD - 217,350 USD.
Please note that actual salaries may vary within the range, or be
above or below the range, based on factors including, but not
limited to, education, training, experience, professional
achievement, business need, and location. In addition to base
salary, employees will participate in either an annual bonus plan
based on company and individual performance, or a role-based,
uncapped sales incentive plan. Our talent acquisition team will
provide the specific opportunity on our bonus or incentive programs
to eligible candidates. We also offer market leading benefit
programs including generous PTO, a 401k match up to $7,200 per
year, the opportunity to purchase company stock at a discount, and
more.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.Gartner is committed to
being an Equal Opportunity Employer and offers opportunities to all
job seekers, including job seekers with disabilities. If you are a
qualified individual with a disability or a disabled veteran, you
may request a reasonable accommodation if you are unable or limited
in your ability to use or access the Company's career webpage as a
result of your disability. You may request reasonable
accommodations by calling Human Resources at +1 (203) 964-0096 or
by sending an email to.Job Requisition ID:95013By submitting your
information and application, you confirm that you have read and
agree to the country or regional recruitment notice linked below
applicable to your place of residence.Gartner Applicant Privacy
Link: https://jobs.gartner.com/applicant-privacy-policyFor
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Keywords: Gartner, Plano , VP, Enterprise Data Science & AI, Executive , Irving, Texas
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