Chief Data Officer

4 days ago

Cape Town, Western Cape, Saudi Arabia GVW Group Full time

Summary Description:

Aculocity is a dynamic and innovative IT Services company committed to leveraging cutting-edge Artificial Intelligence AI and Machine Learning ML technologies to drive business growth and excellence. We are seeking a talented and experienced Chief Data Officer with strong AI/ML background to lead our AI/ML initiatives and contribute to our vision of becoming a leader in our industry. The Chief Data Officer CDO is a key executive responsible for managing and leveraging an organization's data assets to drive strategic business decisions and enhance overall performance. As a member of the IT senior leadership team, this is an influential role, making investment and priority trade-off decisions, negotiating and managing vendor contracts, and recruiting and developing high performing teams. This role will also provide vision and leadership to a team that includes several full-time data scientists, and data engineers.

AI/ML Core Responsibilities

  • 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.

General Data Responsibilities

  • 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.

Management Responsibilities

  • 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.

Position Requirements:

  • Master's or Ph.D. in Computer Science, Data Science, or a related field.
  • Proven experience of at least 10 years in a leadership role within AI/ML, with a successful track record of delivering impactful projects.
  • 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.

Personal Attributes

  • 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.

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