Gartner - Director - Advanced Analytics - Algorithms & Data Insights

What makes Gartner a GREAT fit for you? When you join Gartner, you'll be part of a fast-growing team that helps the world become smarter and more connected. We- re the world's leading research and advisory company, achieving consistent double-digit growth by steering clients toward the right decisions with business and technology insights they can't find anywhere else. Our associates enjoy a collaborative work environment, exceptional training and career development - as well as unlimited growth opportunities. If you like working with a curious, supportive, high-performing team, Gartner is the place for you.

Director - Advanced Analytics (Algorithms and Data Insights):

What makes Gartner a GREAT fit for you?

When you join Gartner, you'll be part of a fast-growing team that helps the world become smarter and more connected. We- re the leader in our industry, achieving double-digit growth by helping clients make the right decisions with business and technology insights they can- t find anywhere else. Our associates enjoy a collaborative work environment, exceptional training and career development - as well as unlimited growth potential. If you like working with a generous, supportive, high-performing team, Gartner is where you want to be.

About the Role:

- This is a unique opportunity for a creative and charismatic individual to lead a key data analytics team for Gartner's Algorithms and Data Insights Group, a fast-growing data science organization. Our mission is to drive increasing business impact through data analytics and data science practices.

- We are looking for a product leader to lead a group of data analysts and data scientists and partner with product managers, engineering team to build advanced analytics platforms, answer strategic questions, discover insights and drive business and production actions.

- Your ability to apply Lean Product Principles to the data analytics and data science process will both ensure high ROI and fast iteration of the solution. Just as important is the intuitive ability to move towards the important vs. the interesting. This becomes especially relevant as you lead others to develop the product opportunities we uncover. Having a strong goal-orientation (vs. a task-orientation) and an anchoring on the client experience and business problems will help you navigate the decisions needed to build great products and deliver strong business results.

Who you are:

The ideal candidate will have

- Bachelor's Degree in computer science, engineer or relevant discipline

- 8+ years of experience in commercial product management, data analytics or data science.

- Enjoy solving complex business problems by leveraging large volume of data

- Demonstrated ability to translate quantitative analysis into actionable business strategies

- Working experience in one or few of the following data analytics domains: Data analytics with multi-dimensional data

- Machine Learning and Predictive modeling

- Text mining and Natural Language Processing

- Proficient in data analytics platform or tools such as PowerBI, Tableau and R

- Strong programing skill in Python is desired. You will not need to write code, but will supervise and guide your team

- Strong working knowledge of Lean product principles, Software development lifecycle, IT and data science/machine learning topics

- Extensive experience in gathering from and communicating ideas to, clients and senior stakeholders across businesses

- Outstanding project management skills (projects involving internal and external stakeholders) with ability to meet tight deadlines and prioritize workloads

- Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone

- Bias for action and completion.

What we offer:

In addition to an outstanding work environment with rapid advancement potential, Gartner associates enjoy exceptional compensation and benefits, including:

Competitive base salary

Flexible work environment

A great work culture

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