- Experience
- Any
- Salary
- USD 250,000 – USD 400,000 / year
- Openings
- 1
- Posted
- 6 గంటలు క్రితం
- Work mode
- Work from home
- Eligibility
- Open to all qualified professionals with relevant skills and experience. Hiring decisions are made solely based on technical qualifications and merit.
- Resume
- Required to apply
Job description
Role Overview
We are seeking a Data Partnerships Lead to join a leading Technology and AI-driven organization on a full-time basis. This position focuses on building and managing strategic data partnerships to enrich product capabilities and boost revenue generation through effective data monetization strategies.
Key Responsibilities
- Identify and assess potential data partners to broaden the platform's data ecosystem and enhance model accuracy.
- Lead negotiations and finalize data licensing agreements aligning with business goals and compliance standards.
- Collaborate with engineering teams for seamless integration of third-party data into existing data pipelines and platforms.
- Track and evaluate data partnership outcomes, recommending strategies for optimization and growth.
- Coordinate with legal and compliance departments to maintain adherence to regulatory and internal policies in all partnerships.
Required Skills and Qualifications
- Proven experience in negotiating data licensing deals and partnerships within technology or AI-focused sectors.
- Deep knowledge of data monetization approaches and data infrastructure systems.
- Competency in data analytical tools and frameworks to measure the value and impact of partnerships.
- Capability to lead cross-functional projects involving engineering, product management, and legal teams.
- Understanding of data privacy laws such as GDPR and CCPA pertinent to data partnerships.
About the Opportunity
This role provides a unique chance to contribute to an innovative AI platform as part of a global industry leader in technology and information services. The successful candidate will play a crucial role in scaling the company's data ecosystem and strengthening its market competitiveness.
Equal Opportunity Statement
The company is committed to hiring based on talent and expertise without regard to background, previous job experience, or personal history. All qualified applicants will be evaluated solely on their demonstrated technical skills and credentials.