5 дней назад
Senior Technical Data & AI Enablement Analyst (Legal)
136 000 - 204 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Technical Data & AI Enablement Analyst (Legal): Building and optimizing data pipelines, dashboards, and AI-powered tools for the Legal, Compliance & Policy organization with an accent on data governance, automation, and actionable insights. Focus on scaling AI enablement, improving workflow efficiency, and translating complex business requirements into technical solutions.
Location: Must be based in New York, NY; Mountain View, CA; or San Diego, CA
Salary: $136,000–$204,500 per year (based on location)
Company
is a global financial technology platform powering prosperity for over 100 million customers through products like TurboTax, QuickBooks, Credit Karma, and Mailchimp.
What you will do
- Build and maintain dashboards to provide real-time visibility into legal portfolio health and workflow performance.
- Develop and monitor data pipelines within the LCPO Data Lake ecosystem.
- Scale AI enablement by evaluating and implementing AI-powered tools and agentic AI assistants.
- Replace manual reporting with automated, bot-driven pipelines to improve operational efficiency.
- Partner with product owners and data engineers to translate business requirements into technical solutions.
- Drive change management for new tools, including stakeholder training and adoption tracking.
Requirements
- BS/MS in Computer Science or equivalent experience.
- Minimum 5 years of experience in data analytics, ideally supporting legal or compliance functions.
- Proficiency with BI tools such as Tableau, Looker, or QuickSight.
- Hands-on experience with AWS cloud infrastructure and data lake services.
- Strong SQL skills and experience building data pipelines.
- Experience with version control using GitHub.
Culture & Benefits
- Competitive compensation package including cash bonuses and equity rewards.
- Commitment to fair pay through regular internal comparisons.
- Focus on customer-obsessed innovation and data-driven problem solving.
- Collaborative environment working across legal, engineering, and operations teams.
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