Manager, Strategic Third-Party Data Acquisition

About the Role

The Sr. Manager, Strategic Third-Party Data Acquisition will own the strategy, evaluation, and execution of external data partnerships that power our decisioning, analytics, and growth initiatives. This role focuses on strategic data acquisition, data quality and value assessment, and third-party vendor relationship management to unlock new revenue opportunities and improve marketplace performance.

• Define and own the strategic roadmap for third-party data, aligning with demand and supply side partner objectives, marketing, risk, and product objectives.
• Proactively identify new data sources, bureaus, and providers that can enhance decisioning, market differentiation, network efficiency, and revenue generation.
• Prioritize opportunities based on business impact, feasibility, and ROI.
• Lead data evaluation and proof-of-concept studies, including data profiling, coverage and stability assessment, and down-stream applicability of the said data.
• Drive off-line analytics and rapid predictive model development to quantify the incremental value of new data assets.
• Define clear frameworks to measure the economic value of data (e.g., lift in approval rates, Funnel efficiency, improved targeting, higher conversion or ARPU).
• Partner with data science and product teams to define or refine business models and decision algorithms that incorporate third-party data.
• Translate insights into deployable decision rules, scorecards, and model features for batch and real-time decision systems.
• Ensure that new data is integrated with appropriate governance, monitoring, and performance tracking.
• Serve as one of the critical points of contact for third-party data providers and bureaus, including contract discussions and ongoing performance reviews.
• Oversee bureau archiving strategies and ensure compliant, efficient use of archived data for back-testing, model development and analytics.
• Partner with legal, compliance, and procurement to help negotiate contracts, manage renewals, and optimize pricing and usage terms.
• Provide insights and support for platform level data purchasing algorithm development.
• Use rapid experimentation platforms (e.g., Eppo, GrowthBook, Optimizely, VWO) to test the impact of new data-driven strategies in production.
• Design and interpret online tests that validate uplift from new data elements, segments, or decision rules.
• Build feedback loops that connect experimental results to long-term data acquisition and renewal decisions.
• Collaborate with engineering and decision science to integrate third-party data into real-time decision systems and batch processes.
• Ensure SLAs, latency, and reliability of external data feeds meet business objectives.
• Help define monitoring and alerting for data quality, coverage drift, and vendor performance.
• Support business initiatives such as sizing, forecasting, and scenario analysis that depend on third-party data.
• Identify and articulate revenue opportunities enabled by new data (e.g., new products, expanded eligibility, improved pricing, better targeting or market differentiation).
• Present insights and recommendations to senior leadership, including tradeoffs between cost, investment, and revenue.
• Manage and mentor junior data scientists and analysts, providing guidance on analytics, modeling, experimentation, and stakeholder communication.
• Champion best practices in data evaluation, documentation, and experimentation across the broader analytics community.

Requirements

Experience with credit bureaus, identity verification providers, ad-tech/mar-tech data, or similar external data ecosystems.

Prior responsibility for contract negotiation support, including sizing, forecasting, and scenario modeling for vendor agreements.

Familiarity with regulatory and compliance considerations related to consumer and third-party data, working knowledge of FCRA and GLBA.

Prior people management and mentoring experience in analytics, risk, or data science teams.

Comfort working in fast-paced environments, balancing speed of execution with analytical rigor and governance.

Qualifications

Master's degree in Computer Science, Statistics, Data Science, Economics, Finance, or a related field.

Minimum of 7 years of relevant experience in data science, analytics, or a related field.

Strong understanding of data acquisition, data quality, and value assessment.

Experience with data evaluation and proof-of-concept studies.

Proficiency in data profiling, coverage and stability assessment, and down-stream applicability of data.

Experience with rapid predictive model development and economic value measurement.

Experience with business models and decision algorithms incorporating third-party data.

Experience with data integration and real-time decision systems.

Experience with vendor and bureau relationship management.

Experience with regulatory and compliance considerations related to consumer and third-party data.

Experience with data evaluation, documentation, and experimentation.

Experience with data science, risk, product, finance, legal, and procurement teams.

Experience with rapid experimentation platforms (e.g., Eppo, GrowthBook, Optimizely, VWO).

Experience with data acquisition, data quality, and value assessment.

Experience with data evaluation and proof-of-concept studies.

Experience with rapid predictive model development and economic value measurement.

Experience with business models and decision algorithms incorporating third-party data.

Experience with data integration and real-time decision systems.

Experience with vendor and bureau relationship management.

Experience with regulatory and compliance considerations related to consumer and third-party data.

Experience with data evaluation, documentation, and experimentation.

Experience with data science, risk, product, finance, legal, and procurement teams.

Experience with rapid experimentation platforms (e.g., Eppo, GrowthBook, Optimizely, VWO).

Skills

Strategic thinking and ability to balance speed of execution with analytical rigor and governance.

Strong interpersonal and communication skills, with the ability to build and maintain relationships with key stakeholders.

Ability to work in a fast-paced, high-tech environment.

Experience with data acquisition, data quality, and value assessment.

Experience with data evaluation and proof-of-concept studies.

Experience with rapid predictive model development and economic value measurement.

Experience with business models and decision algorithms incorporating third-party data.

Experience with data integration and real-time decision systems.

Experience with vendor and bureau relationship management.

Experience with regulatory and compliance considerations related to consumer and third-party data.

Experience with data evaluation, documentation, and experimentation.

Experience with data science, risk, product, finance, legal, and procurement teams.

Experience with rapid experimentation platforms (e.g., Eppo, GrowthBook, Optimizely, VWO).

Benefits

Gen offers a comprehensive benefits package including:

• 401(k) match
• Health insurance options
• Disability coverage
• Life insurance
• Unlimited paid time off

Actual salaries will vary based on a candidate’s qualifications, experience, skills, and competencies related to the role.

Pay

The annual base salary for this position is expected to be between $140,000 and $160,000.

Schedule

Location: NYC (Onsite 3 days per week)