FULL TIME ROLE : Data Strategy Leader - Banking/Payments domain

• Richmond, VA or Charlotte, NC Keywords: Data strategy, Banking portfolio, Risk, analytical, data management, big data, data warehousing, ETL infrastructure, data acquisition within financial services.

The ideal candidate will have a strong background in banking and financial services, with expertise in developing and implementing data strategies that drive business growth, improve customer experience, and enhance risk management.

• Develop and implement a comprehensive data strategy aligned with the organization's overall business goals and objectives
• Lead cross-functional teams to design and deliver data-driven solutions that address business challenges and opportunities
• Collaborate with senior stakeholders to identify and prioritize data initiatives that drive business value
• Develop and maintain a data governance framework that ensures data quality, security, and compliance
• Foster a culture of data-driven decision-making and analytics adoption across the organization
• Stay up-to-date with industry trends and emerging technologies, and assess their potential impact on the organization's data strategy
• Manage and mentor a team of data professionals, including data scientists, analysts, and engineers

• 8+ years of experience in data strategy, analytics, or related fields, with a minimum of 3 years in a leadership role
• Strong background in banking and financial services, with expertise in areas such as risk management, customer analytics, or financial planning
• Proven track record of developing and implementing successful data strategies that drive business outcomes
• Excellent communication and stakeholder management skills, with the ability to influence senior leaders and drive change
• Strong technical skills, including experience with data platforms, analytics tools, and data visualization technologies
• Bachelor's degree in Computer Science, Information Systems, or a related field; advanced degree preferred

• Experience with cloud-based data platforms and analytics tools
• Familiarity with machine learning and artificial intelligence techniques
• Certification in data science or analytics (e.g.

• Experience with agile project management methodologies