GenAI Market Data, Usage, and Ethics Program...
Role details
Job location
Tech stack
Job description
The GenAI Market Data, Usage, and Ethics Program Manager is part of the Global Data Management and Governance team and will lead enterprise-wide market data initiatives and oversee the governance, responsible usage, and ethical standards for both internal and external data. This role combines deep expertise in market data ecosystems, vendor management, and data governance with a focus on compliance, risk mitigation, and enabling advanced analytics and GenAI solutions across the organization.
Program Leadership
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Drive the enterprise-wide Market Data Program, setting strategic vision, multi-year roadmap, and execution plans to maximize business value from external data assets.
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Collaborate cross-functionally with business leaders, data science, product, actuarial, and IT teams to identify, prioritize, and integrate external data sources that support advanced analytics and GenAI initiatives.
Market Data Strategy & Governance
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Develop and continuously refine market data strategy to align with evolving business priorities and regulatory landscapes.
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Architect and enforce robust data governance frameworks, including metadata management, data quality controls, and stewardship protocols for market data.
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Oversee compliance with licensing, usage agreements, and intellectual property requirements to mitigate legal and reputational risks.
Vendor Management
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Lead strategic relationships with data providers, partnering with Procurement to negotiate contracts, service level agreements, and licensing terms that optimize cost and data quality.
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Assess and onboard new data vendors, sources, and technologies to expand analytical capabilities and competitive intelligence.
Data Enablement & Integration
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Partner with data engineering and architecture teams to ensure secure, scalable, and timely ingestion of market data into enterprise platforms.
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Champion the effective utilization of market data across analytics, modeling, and operational systems, enabling data-driven decision-making and innovation.
Risk, Compliance & Controls
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Establish and lead a formal data ethics oversight function, setting standards for responsible data usage and ethical AI practices.
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Ensure rigorous compliance with legal, regulatory, and internal policy requirements governing both market and internal data access and use.
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Design and implement controls, monitoring, and audit processes to safeguard data integrity, prevent misuse, and ensure ethical outcomes in data-driven operations.
Training and Support
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Develop and deliver training programs for internal teams and contractors on data usage, ethics, governance best practices, and emerging tools and technologies.
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Serve as a subject matter expert and advisor on data ethics, responsible AI, and regulatory compliance, fostering a culture of accountability and trust in data management.
Requirements
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Bachelor's degree in Business, Data Management, Finance, Economics, or related field.
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10+ years of experience in data management, market data, and/or vendor management with 5+ in the insurance, financial services, or related industry.
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Deep understanding of external market data relevant to P&C insurance (e.g., Verisk, CoreLogic, LexisNexis, Moody's, etc.).
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Proven experience implementing data governance frameworks and tools.
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Strong vendor management and contract oversight experience.
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Excellent communication and interpersonal skills across technical and non-technical audiences to effectively collaborate with diverse stakeholders.
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Strong analytical thinking and ability to translate business questions into data-driven solutions.
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Strategic thinker with ability to understand the long-term ("big picture") and short-term perspectives of situations.
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Familiarity with data platforms (Snowflake, Databricks, etc.) and data cataloging tools (e.g., Collibra, Informatica).
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Experience establishing a market data center of excellence or similar data capability is a plus.
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Knowledge of regulatory considerations related to data use in insurance (e.g., NAIC, state DOI regulations), insurance industry trends, rating plans, risk models, and competitive intelligence practices is a plus.
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