This range is provided by Forsyth Barnes. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $300,000.00/yr - $300,000.00/yr Title: Chief Data Officer Salary: Up to $300,000 Location: New York (Hybrid) Key Responsibilities Develop and implement a data strategy aligned with the company’s business goals. Establish and enforce data governance policies, ensuring data integrity, security, and compliance (e.g., GDPR, CCPA, PCI DSS). Define data architecture and management frameworks to support business needs. Build and oversee data analytics models to optimize customer acquisition, risk assessment, and operational efficiency. Leverage AI/ML and predictive analytics for personalized financial services. Ensure the company meets industry regulations related to financial data management and cybersecurity. Work with legal and compliance teams to mitigate risks related to data handling. Oversee the development and maintenance of data infrastructure, including data lakes, warehouses, and pipelines. Work closely with engineers to ensure scalable and efficient data architecture. Optimize data storage, processing, and retrieval performance. Develop data-driven strategies to enhance customer experience and engagement. Ensure ethical use of customer data while implementing personalization techniques. Partner with product, engineering, marketing, and compliance teams to leverage data for innovation. Communicate data-driven insights to executives and stakeholders. Identify opportunities to use AI and automation for fraud detection, credit scoring, and customer support. Stay ahead of emerging data trends and fintech innovations. Key Requirements Education & Experience: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Finance, or a related field. 7+ years of experience in data leadership roles, preferably in fintech, banking, or financial services. Strong knowledge of financial regulations and data privacy laws. Technical Skills: Expertise in SQL, Python, R , and data visualization tools (e.g., Tableau, Power BI). Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure). Knowledge of AI/ML models for financial applications. Familiarity with data governance frameworks and regulatory requirements. Soft Skills: Strong leadership and strategic thinking. Excellent communication skills to convey complex data concepts to non-technical stakeholders. Problem-solving mindset with the ability to drive business impact through data. Seniority level Executive Employment type Full-time Job function Information Technology #J-18808-Ljbffr Forsyth Barnes
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