Analytics Manager - Artificial Intelligence Policy and Researchremoterocketship • United States
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Analytics Manager - Artificial Intelligence Policy and Research
remoterocketship
- United States
- United States
Über
Serving as the primary point of contact for a portfolio of clients - including those working on AI policy, advocacy, and communications - building trusted relationships and ensuring research findings are delivered clearly, on time, and with strategic context
Designing and launching surveys that will be taken by hundreds of thousands of Americans, with a focus on public attitudes toward AI, technology policy, and related issues
Overseeing the fielding of multiple surveys simultaneously - managing timelines, budgets, and data collection targets while liaising between data scientists, engineers, and client-facing stakeholders
Analyzing data to answer questions from policy advocates, strategists, and clients operating in the AI space
Building subject matter expertise in AI policy and public opinion, and thinking critically about our data in order to discern real trends from potential data quality issues to flag for our machine learning data scientists
Supporting external outreach efforts, including presentations to clients, political partners, and other vendors and consultants
Partnering with BRR leadership to inform decisions about research scope and prioritization - including what questions are worth asking, what use cases are and arent well-suited to our tooling, and how to deploy our research capacity where it will have the most impact
Contributing new ideas to the ways we analyze, interpret, and communicate our data - we strive to deliver the best strategic guidance and believe that everyone on the team is part of that goal
Providing product feedback to engineers to improve our tools for internal and external usage, including the interfaces clients and internal teams use to access and interact with our research.
Requirements:
Have at least 3–4 years of professional experience
Have at least 1–2 years of experience managing client or stakeholder relationships - you know how to build trust, communicate under pressure, and keep multiple parties aligned
Are comfortable with SQL and relational databases; can quickly orient themselves to a new dataset, perform exploratory analysis, spot data quality issues, and justify decisions about how to handle imperfect data
Have some background in R or Python programming
Can comfortably explain basic modeling and regression techniques for a non-technical audience
Have a genuine interest in artificial intelligence - its policy implications, how the public thinks about it, and how it is changing the political and advocacy landscape (formal background in AI is not required, but this should be a topic of passion for you!)
Have some familiarity with survey research and methodology — you dont need to be an expert, but you should be comfortable thinking about question wording, sample composition, and what makes a survey finding credible versus suspect
Have strong oral and written communication skills, especially in a remote environment
Enjoy spending as much of their you interacting with other people as you do working with data
Have a desire to work in multi-disciplinary teams with engineers, machine learning data scientists, statisticians, and political experts, and are excited to serve as the bridge between technical findings and real-world decision making
Enjoy and have experience working in fast-paced environments turning around a high volume of relatively small projects
Are passionate about progressive politics and motivated to see their work contribute to advancing progressive causes
Are solutions-oriented, have strong attention to detail, and are a creative thinker who isnt daunted by open-ended research questions
Are a kind person and a team player who contributes to a warm working environment.
Benefits:
medical
dental
health benefits
Sprachkenntnisse
- English
Hinweis für Nutzer
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