We are seeking a highly skilled Vice President of Data (VP Data) to develop and oversee our data and information strategy in support of business decisions and growth. The ideal candidate will work closely with various departments to collect, prepare, organize, protect, and analyze data assets, ensuring that the company meets industry best practices while streamlining data systems and processes. The role will drive innovation aimed at reducing costs and increasing profitability.

Key Responsibilities:

1. Strategy and Leadership:

● Develop and oversee the data and information strategy to support business goals.

● Establish strategic goals and objectives aligned with the organization's mission and vision.

● Collaborate with the executive team to identify how data can assist in achieving business and financial goals.

● Communicate goals, projects, and timelines to the data department.

● Align data projects with organizational goals.

1. Policy and Compliance:

● Oversee the development and implementation of organizational policies and procedures to ensure legal compliance.

● Establish and maintain data procedures and policies to meet industry best practices.

1. Team Management:

● Plan ways to execute goals within the data department.

● Mentor and train employees to build a strong data team.

● Set and manage team objectives.

1. Data Infrastructure and Innovation:

● Build and maintain the data infrastructure to support decision-making processes.

● Build analytic systems and predictive models.

● Visualize data and create reports.

● Experiment with new models and techniques.

● Manage relationships with service providers.

● Promote data-driven decision-making through insights and knowledge sharing.

1. Data Management and Analysis:

● Manage the company's data to maintain a competitive advantage in understanding the financial/agricultural industry.

● Oversee the mining of third-party data.

● Provide information and decision support.

● Discover insights and share knowledge.

● Provide competitive advantage through innovation and data analysis.

● Provide self-service access to insights.

Qualifications:

● Proven experience in senior data position.

● Strong leadership and organizational abilities.

● 3+ years experience in Machine Learning

● Excellent communication skills.

● Knowledge of current data trends and a passion for innovation.

● Experience in managing budgets and timelines effectively.

● Familiarity with financial and data regulatory standards and compliance.

● Experience in the agricultural or fintech sector is a plus.

Benefits:

● Competitive salary and benefits package.

● Opportunity to lead and shape the data vision of the company.

● A dynamic and innovative work environment.

● Opportunities for professional growth and development.