Training Manager - Applied Data Analytics - New York University : Job Details

The Training Manager of Applied Data Analytics for the Coleridge Initiative at NYU will oversee, develop and implement successful learning outcomes for the research program. The Training Manager will:

This is a 12 month fixed-term position with the possibility for ongoing renewal.

Required Education: Master's degree required. Degree in Applied Data Analytics or related fields.

Required Experience: 5 years' relevant experience including developing training content and curriculum in a fast-paced environment. Experience delivering training programs to a diverse audience. Prior experience in a Data Analyst or Data Scientist role working in the public or private sector. Experience managing stakeholder relationships including government agencies and contractors. Experience managing training projects.

Preferred Experience: Working with government agencies, non-profit agencies, or public sector.

Required Skills, Knowledge and Abilities: Ability to work independently and collaboratively in a fast-paced, demanding, and complex work environment, with the ability to carry out complex assignments and adapt to changing situations and priorities. Excellent written, presentation, public speaking, interpersonal as well as customer service skills. Strong problem solving, analytical, and organization skills. Advanced knowledge of analytics programs such as Python, SQL, or other scripting language.

The goal of the Coleridge Initiative at NYU is to use data to transform the way governments access and use data for the social good. We are a fast-growing university-based startup that has already created dozens of pilot projects, worked with over 100 agencies – federal, state and local - and trained over 250 people. Our program directors – Julia Lane, Rayid Ghani, and Frauke Kreuter – have designed and implemented training programs, research projects and a secure data facility that are attracting national attention, including the Commission on Evidence Based Policy and the Federal Data Strategy. The goal of the project is to build new capacity to enable government agency staff to use data and collaborate on projects to improve policy.

Our Team: Our team works with government agencies to break down data barriers around confidential data. We do this in two ways. We have developed a secure environment for data, and are building new tools for data stewardship, data discovery and collaboration with some of the top scientists in the nation. We work with government agencies to (1) identify critical agency problems, (2) train staff to solve them, and (3) create products that have value. You can read more about our work here.

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