The Director of Data Partnerships will be responsible for building and scaling a new data-licensing business from the ground up. This role will own the end-to-end commercial strategy for monetizing proprietary financial and business data: identifying market needs, shaping data products, developing pricing models, and driving new business acquisition. As the primary outward-facing representative for our data offerings, this leader will cultivate relationships with businesses that rely on high-quality financial intelligence.
Reporting directly to the VP of Growth, this role will combine strategic thinking, product insight, and hands-on sales execution. The Director of Data Partnerships will collaborate closely with cross-functional teams including Data, Engineering, and Legal to ensure our data products are packaged effectively, delivered in the formats customers need, and positioned for sustainable long-term growth.
Responsibilities
Build and execute the commercial strategy for monetizing the company’s proprietary financial and business data.
Evaluate opportunities for new high value data assets or datasets that we should collect and productize.
Identify, prospect, and secure new data-licensing partnerships with enterprise buyers.
Develop data packaging strategies, including product tiers, delivery formats, and access models (e.g., API, bulk data, scheduled feeds).
Define pricing strategies based on market demand, competitive analysis, and customer value.
Partner with internal technical teams to communicate customer requirements, data specifications, and delivery standards.
Build and manage a robust pipeline of prospective clients; own the full sales cycle from outreach to contract execution.
Collaborate with Legal and Finance to structure deals, negotiate contract terms, and ensure compliance with data-usage guidelines.
Monitor market trends, competitor offerings, and regulatory developments to inform product and commercial strategy.
Establish reporting and performance metrics to track revenue growth and operational efficiency.
Requirements
5+ years of experience in B2B sales, business development, partnerships, or a related commercial role.
Proven track record of new business acquisition and closing enterprise-level deals.
Experience in data licensing, data products, or financial information services strongly preferred.
Strong understanding of data delivery models (e.g., APIs, bulk files, structured datasets) and ability to convey customer needs to technical teams.
Excellent communication, negotiation, and relationship-building skills.
Strategic thinker with the ability to identify market opportunities and translate them into actionable plans.
Highly self-directed, comfortable operating independently in a new and growing business line.
Ability to collaborate cross-functionally with technical, product, legal, and finance stakeholders.
Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices.
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