VP Performance Intelligence (Remote)

Company Description

Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn.

Job Description

As the Vice President Performance Intelligence, you will play a pivotal role in driving performance for our clients by leveraging enterprise data and innovative analytics. You will be responsible for developing bold, data-driven strategies that maximize the impact of marketing efforts and enhance product performance across all channels, solutions, and campaigns. Your expertise in data science and your deep understanding of the financial services industry will enable you to assess, test, and deploy new data assets, creating a continuous feedback loop that drives performance improvement. This is a senior leadership role that requires a strategic thinker with a passion for data and a proven track record of delivering results.

KEY DUTIES/RESPONSIBILITIES

• Strategic Leadership: Develop and implement a comprehensive data science strategy to drive performance optimization across multiple campaign types, channels, and product lines. Align this strategy with the overall business goals of our clients in the financial services industry. 20%
• Data-Driven Insights: Lead the team in creating bold, data-driven insights and models that inform strategic decision-making and optimize marketing spend. Utilize advanced analytics, machine learning, and statistical modeling to identify growth opportunities and enhance product performance. 20%
• Data Asset Innovation: Oversee the assessment, testing, and deployment of new data assets and analytical tools. Establish and manage a continuous feedback loop that leverages these assets to improve performance metrics and client outcomes. 15%
• Operational Efficiency: Guide the data science team in developing innovative solutions to enhance operational efficiency and effectiveness within client organizations. Promote best practices in data management, analytics, and reporting to drive productivity and performance. 10%
• Marketing Analytics: Lead the development of data-driven performance and models tailored by product and market. Ensure that the team provides actionable insights that optimize campaign timing, targeting, and overall marketing effectiveness. 10%
• Team Development and Mentorship: Mentor and develop a high-performing team of data scientists, fostering a culture of innovation, collaboration, …