Chief Data Officer

• Develop and execute the company's AI/ML strategy aligned with business objectives.
• Lead the development of a long-term vision for AI/ML applications within the organization.
• Build and manage a high-performing team of AI/ML professionals.
• Provide mentorship, guidance, and support to team members.
• Foster a culture of innovation and continuous learning within the AI/ML team.
• Oversee the planning, execution, and delivery of AI/ML projects.
• Ensure projects are aligned with business goals and are delivered on time and within budget.
• Stay abreast of the latest advancements in AI/ML technologies and methodologies.
• Drive research initiatives to explore new opportunities for AI/ML applications in the company.
• Collaborate with cross-functional teams, including engineering, product management, and business development, to integrate AI/ML solutions seamlessly.
• Work closely with stakeholders to understand their requirements and translate them into AI/ML solutions.
• Establish and enforce best practices for data quality, model validation, and deployment.
• Ensure the ethical and responsible use of AI/ML technologies within the organization.

• Data Strategy Development: Develop and implement a comprehensive data strategy aligned with the organization's business objectives. This includes defining data governance policies, data architecture, and ensuring data quality and integrity.
• Data Governance: Establish and enforce data governance practices to ensure the accuracy, security, and compliance of data across the organization. This involves creating policies, procedures, and standards for data management.
• Data Quality Management: Oversee initiatives to maintain and improve the quality of data within the organization. Implement data quality frameworks, tools, and processes to ensure reliable and consistent information.
• Data Analytics and Insights: Drive the use of data analytics and business intelligence to extract valuable insights. Collaborate with other departments to identify opportunities for data-driven decision-making and innovation.
• Data Privacy and Security: Ensure compliance with data privacy regulations and implement robust security measures to protect sensitive information. Develop and maintain data protection strategies to safeguard against potential risks.
• Technology Integration: Collaborate with IT teams to evaluate and implement advanced technologies, tools, and platforms for efficient data management, storage, and analysis.
• Cross-Functional Collaboration: Work closely with other C-level executives, department heads, and stakeholders to align data initiatives with overall business strategies. Foster a data-driven culture across the organization.
• Risk Management: Identify and mitigate risks associated with data management, ensuring that the organization is well-prepared for potential data-related challenges.
• Innovation: Stay abreast of industry trends, emerging technologies, and best practices in data management. Propose and implement innovative solutions to enhance the organization's competitive advantage.
• Communication and Advocacy: Act as a spokesperson for data-related matters, communicating the value of data-driven decision-making to both internal and external stakeholders. Advocate for data-centric practices throughout the organization.

• Effectively initiate, plan, schedule, control, and bring to closure multiple high priority projects.
• Partner with business leaders to create robust solution roadmaps that are integrated with architecture and operations.
• Partner with internal customers to develop training and deployment plans aimed at maximizing both user adoption and realization of business benefits.
• Recruit, develop and retain high caliber data talent, especially for key leadership positions, and develop a succession plan.
• Implement and champion a robust professional development program, and continuously upskill team members to keep them current.
• Evaluate team members performance, provide candid feedback and high impact coaching that enables (and motivates) them to achieve departmental as well as enterprise goals.
• Build a culture of innovation and engagement, focusing on strengthening the organization's employer brand.

• Strong knowledge of various AI/ML frameworks, tools, and programming languages.
• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Deep understanding of the ethical considerations and implications of AI/ML technologies.
• Has successfully led development and delivery of multiple complex business technology solutions into production that have achieved or surpassed business goals.
• Experience developing and supporting mission critical applications optimized to run in the cloud or virtualized environments.

• Ability to make sound and logical judgments.
• Demonstrated personnel/project management skills.
• Good understanding of the organization's goals and objectives.
• Strong interpersonal, written, and oral communication skills.
• Ability to perform general mathematical calculations for the purpose of creating needs assessments, budgets, and so on.
• Able to conduct research into issues and products as required.
• Ability to prioritize and execute tasks in a high-pressure environment and make sound decisions in emergency situations.
• Ability to present ideas in a user-friendly language.
• Highly self-motivated and directed.
• Keen attention to detail.
• Proven analytical and problem-solving abilities.
• Strong customer service orientation.
• Experience working in a team-oriented, collaborative environment.

GVW