VP, Data Analytics

The Global Product Management (GPM) organization is responsible for business performance of all research products. The Research Business Analytics (RBA) team is part of GPM and performs analysis related to all aspects of Gartner’s Research. This includes client value drivers: Research content, research interaction, and the research role in conferences and events. RBA also supports the Research & Advisory (R&A) organization by enabling and performing analysis running from client retention analytics, associate performance analytics, budget, and financial analysis (in partnership with the finance organization), and client demand sensing.  We power fact-based decision making by providing data, insights, and analytic tools to continuously improve our business – operationally and strategically.

We are looking for a Vice President (VP) who is a proven highly analytical problem solver, has strong technical understanding of data/data systems and an exceptional coach to be part of our growing team. This individual will lead a team with members in the US and India and should be comfortable rolling up their sleeves to “get the job done” as well as leading strategic initiatives.

This role will primarily focus on ownership of end-to-end deliverables on content and related assets e.g. documents, tools, multimedia etc., including business and operational insights.  Initiatives/projects involve data definition, data pull, technical understanding of Gartner data, analyze for insights, build recommendations, visualize data, scale through automate visualizations and reporting. Example objectives are:

• Build end-to-end dashboards that communicate the performance of our content including root causes and insights of upcoming trends, areas of bright spots and opportunity.
• Standardize and automate the ways we measure reach of a document across the entitled licensed user base considering target role / industry / geo, the priorities navigator, and other factors.
• Build mechanisms to measure current performance and improvement opportunities for modern content formats including multimedia.
• Analytically determining diminishing returns on content library size and content production frequency (by role, topic, …)
• In collaboration with other teams, improve content reporting (e.g., content health metrics, operation reviews), dashboards, and automation.

This is an exciting opportunity to be hands-on in our efforts to fuel Gartner’s revenue growth and retention through Gartner’s world-class, must-have content and extraordinary and timely client interactions.

What you’ll do:

• Build expertise to be the center of excellence on Gartner content data, with deep knowledge of the data across source systems, the data warehouse, and dashboards / reports so analysis is unassailable, and other Gartner teams rely on the data we provide and guidance on how to use it.
• Coach your team to be world-class analytical experts, who can think critically and take an ambiguous business problem, break it into solvable workstreams, analyze using right quantitative models to discover meaningful patterns, insights, and information that can inform decision-making, visualize the outcomes and build into automated dashboards/reports.
• Partner with stakeholders (e.g., IT, Research Strategy & Operations, Content Research Excellence, and Global Product Management) to understand business needs and capabilities that can help us analyze performance and return on content investments. Continuously and collaboratively prioritize efforts against areas of highest business impact. Ensure seamless communication and change management across relevant stakeholder orgs
• Develop and continuously improve a methodology to measure viewership and thereby impact of content for Gartner
• Execute on the approach to deliver functionality iteratively.
• Continuous improvement: Take initiative to identify and roll out improvement initiatives.
• Strategic initiatives: Partner with stakeholders and intrateam colleagues to define and implement strategic initiatives and key, cross-organizational deliverables.

What you will need:

• Experience: 12+ years of progressive business experience involving advanced business analytics, complex problem solving, and business strategy.
• Education: Bachelor’s Degree required with a Master’s Degree preferred. Degree with a concentration in statistics, data science, mathematics, engineering, computer science, or operations research preferred.

• Exceptional problem solving: Proven track record of solving complex problems, Critical thinking, Analytical reasoning, Innovation, and using data to influence senior level stakeholders. Demonstrated thought leadership with high business impact throughout career.
• Strong technical understanding of data and skills to analyze as