- Experience
- Any
- Salary
- USD 250,000 – USD 400,000 / year
- Openings
- 1
- Posted
- 1 day ago
- Work mode
- Work from home
- Resume
- Required to apply
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Job description
Role Overview
We are seeking a Data Partnerships Lead for a full-time remote position to drive the development and management of strategic data partnerships. The primary objective is to enhance product capabilities and increase revenue through effective data monetization initiatives. This role demands expertise in data strategy, vendor negotiation, and collaborative engagement with engineering, product, and legal teams.
Key Responsibilities
- Identify and assess prospective data partners to broaden the platform's data ecosystem and improve model accuracy.
- Negotiate and finalize data licensing agreements that meet business goals and regulatory compliance.
- Partner with engineering teams to incorporate third-party data sources into the company's existing data infrastructure.
- Track and evaluate the success of data partnerships, making strategic recommendations for growth and efficiency improvements.
- Collaborate with legal and compliance departments to ensure all data collaborations comply with relevant data privacy regulations and corporate policies.
Required Skills and Qualifications
- Proven experience in negotiating data licensing and establishing partnerships within technology or AI-driven sectors.
- In-depth knowledge of data monetization methods and data infrastructure.
- Competency with data analysis techniques to evaluate the value and impact of partnerships.
- Ability to coordinate complex cross-functional projects involving engineering, product management, and legal teams.
- Awareness of data privacy laws such as GDPR and CCPA pertinent to data collaboration agreements.
Additional Information
This role offers an exciting chance to contribute to a leading company in the Technology, Information, and Internet industry, helping develop a state-of-the-art AI platform. The Data Partnerships Lead will play a key role in scaling the company's data ecosystem and strengthening its market competitiveness.
Equal Opportunity Statement
The employer embraces diversity and considers all candidates based on merit without regard to background or demographics. Selection is strictly based on technical expertise and qualifications.