Financial Modeling Prep provides real-time and historical financial market data, fundamentals, and analytics through APIs and developer tools used by fintech companies, investment platforms, individual developers, and enterprises worldwide. As demand for reliable, low-latency financial data grows, we are looking for a Chief Data Officer to own our data strategy, quality, governance, and architecture at scale.
The Head of Data will be a senior executive responsible for the strategic vision, integrity, and commercialization of FMP's data assets. This person will oversee data acquisition, quality assurance, governance, security, and infrastructure, ensuring that FMP's core product — accurate, comprehensive, and timely financial data — remains best-in-class. The CDO will work cross-functionally with Engineering, Product, Sales, and Compliance to align data strategy with business growth.
- Define and execute the company-wide data strategy, aligning data initiatives with FMP's business and product roadmap
- Serve as the executive owner of data quality, coverage, and reliability across all financial datasets (equities, forex, crypto, commodities, fundamentals, economic indicators, etc.)
- Build and lead a high-performing data organization spanning data engineering, data quality/QA, data acquisition, and data science
- Partner with the CEO and executive team to identify new data products, partnerships, and revenue opportunities
- Establish rigorous data validation, reconciliation, and monitoring frameworks to ensure accuracy across real-time and historical datasets
- Own data governance policies, including lineage, versioning, access controls, and audit trails
- Define SLAs for data freshness, uptime, and accuracy, and hold teams accountable to them
- Ensure compliance with relevant financial data licensing agreements, redistribution rights, and regulatory requirements (e.g., exchange data agreements, GDPR, SOC 2)
- Oversee relationships with exchanges, data vendors, and third-party providers to expand and diversify data coverage
- Evaluate new data sources (alternative data, ESG, private markets, etc.) for strategic fit and commercial viability
- Negotiate data licensing terms in partnership with Legal and Business Development
- Guide the architecture of data pipelines, storage, and APIs to support scalability, low-latency delivery, and high availability
- Work closely with Engineering leadership on infrastructure decisions (databases, streaming systems, caching layers) that affect data delivery performance
- Champion best practices in data security, redundancy, and disaster recovery
- Act as the primary data authority for Product teams building new endpoints, tools, or datasets
- Support Sales and Customer Success with data-related client escalations, especially around accuracy or coverage gaps
- Provide data-driven insights to leadership to inform pricing, packaging, and go-to-market strategy
- 10+ years of experience in data management, data engineering, or analytics leadership roles, with at least 5 years in a senior/executive capacity
- Deep understanding of financial markets data (equities, fundamentals, forex, crypto, or economic data) and how it's sourced, structured, and consumed
- Proven track record building and scaling data teams and infrastructure in a high-growth or high-volume environment
- Strong knowledge of data governance, quality assurance frameworks, and regulatory/compliance considerations in financial data
- Experience working with large-scale data pipelines, APIs, and cloud infrastructure (AWS, GCP, or Azure)
- Excellent communication skills with the ability to translate technical data concepts for executive and non-technical stakeholders
- Experience at a financial data provider, fintech, exchange, or trading firm
- Familiarity with API-first business models and developer-facing data products
- Background in data licensing negotiations with exchanges or third-party vendors
- Experience with real-time streaming data systems (Kafka, Kinesis, etc.)
- Advanced degree in Computer Science, Finance, Data Science, or related field
- Improved data accuracy and reduced discrepancy rates across core datasets
- Expanded and diversified data coverage (new asset classes, markets, or alternative data sources)
- A scalable data governance framework that supports compliance and enterprise client requirements
- A high-performing, well-structured data organization with clear ownership and accountability
- Measurable contribution to new data-driven product lines or revenue streams
FMP is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Please visit https://site.financialmodelingprep.com/ for more information
