At Julphar, we are on a journey of culture transformation & our mission is to provide a better quality of life for the entire family by delivering best in class solutions and real value with compassion and professionalism.
Our core values: Respect, Collaboration, innovation, Integrity and Compassion - Combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to make a positive impact on the lives of the patients we serve, enable Talents , create a healthy work environment, and accomplish our goals through world-class research and with the compassion and commitment of our employees.
Position Title : Manager - Data, Analytics and AI
Division : Information Technology
Reporting to : Sr. Manager - ERP

JOB SUMMARY/MAIN PURPOSE

The Manager - Data, Analytics and AI, manages and oversees business analytics projects and processes to provide data-driven insights related to business performance used to advice and develop strategies for operational improvements and future business initiatives. These insights are often used for decision making and strategic planning across high levels of business.
Leads on developing processes for effective data analysis and reporting the implementation of new organizational processes, following IT, AI strategies and Roadmaps that enable Julphar to manage business objectives, there by contributing to Julphar’s vision of providing a better healthcare and to be a leader in pharmaceutical sector in the region.

MAIN RESPONSIBILITIES:

• Lead Data, Analytics and AI standardization across organization.
• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Train, develop and supervise analyst-level employees.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization, and communication deliverables.
• Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and deploy quality AI solutions (Gen AI, Built in AI, AgenticAI), to meet organizational requirements.
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
• Coordinating with cross-discipline team members to make sure that all parties are on track with project requirements, deadlines, and schedules.
• Assume ownership of project deliverables and day-to-day management of entire project from the beginning to end.
• Facilitate communication with the global team and help conflict resolution, if conflicts arise, escalate issues, and seek resolution.
• Facilitate sign offs and Completion of Trainings within the stipulated project timelines.
• Performing quality control on the project throughout to maintain the standards expected.
• Meeting with project team members to identify and resolve issues.
• Facilitating change requests to ensure that all parties are informed of the impacts on schedule and budget.
• Coordinating the development of user manuals, training materials, and other documents as needed to enable successful implementation and turnover of the process or system to the clients.
• Obtaining Business acceptance of project deliverables.
• Managing Business satisfaction within the project transition period.
• Conducting post-project evaluation and identifying successful and unsuccessful project elements.
• SAP ERP Integrations, Data warehouse management.
• Develop and manage PowerBI solutions, using Microsoft fabric enterprise platform.