The role entails overseeing and managing the strategic planning, implementation, and execution of operations to deliver managed services and optimize efficiencies for clients. The primary focus is on ensuring client satisfaction, profitability, and driving business growth.
-Define and articulate a clear vision and strategy for the organization’s Managed Services function.
-Formulate, set, and communicate clear Managed Services short to long-term strategic direction, goals, and objectives aligning with Cassava AI's business strategy.
-Determine the strategic drivers for Managed Services at any given time to achieve Cassava AI's profitability targets, sustaining the business as a going concern.
-Align the Managed Services strategy with broader business objectives and ensure it supports key organizational goals.
-Anticipate future needs and trends to keep the organization at the forefront of Managed Services.
-Develop a strategy for each client, aligning it with the client organization’s vision and plans to secure Cassava AI’s position as the best partner for current and future services.
-Oversee Managed Services projects, ensuring they are completed on time, within scope, and meet organizational standards.
-Implement and oversee data governance policies and practices to ensure data accuracy, consistency, and reliability for managed services.
-Champion the ethical use of data within client organizations to foster trust among clients, stakeholders, and the broader public.
-Prepare and present reports to Cassava AI senior management and Clients’ senior management on the status of the disaster recovery plan.
-Develop and monitor AI and Software development policies, systems, and procedures in line with overall business objectives and best practices.
-Implement best practices to validate the functionality, performance, and security of digital products and infrastructure components.
-Manage relationships with external vendors and partners in the data and analytics space.
-Engage customers to understand their business objectives and translate them into actionable analytics projects.
-Degree in Computer Science, Information Systems, Electronic Engineering, Computer Engineering, Mathematics, Statistics, Operations-Research, or equivalent.
-MBA or relevant vocational/professional qualification is an added advantage.
-6 to 8 years of experience in a similar or related environment.
-Familiarity with analytics tools and technologies, such as Python, R, SQL, data visualization tools, and machine learning frameworks.
-Strong leadership, communication, negotiation, and interpersonal skills.
-Excellent problem-solving and analytical abilities.
Harare
Expires
ZIMBABWE ACADEMY OF DENTAL NURSING
Fixed retainer fee …
Harare
Full Time
28 Dec 2023
18 Dec 2023