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Job Purpose
Leads delivery and execution of enterprise data and analytics solutions, overseeing BI, analytics, and data infrastructure teams to deliver accurate, integrated insights and align data initiatives with business goals.
Key Accountability Areas
Strategic Leadership in Data & Analytics:
- Define and drive the overall data and analytics strategy aligned with the organization’s vision, mission, and strategic objectives.
- Lead the development and execution of enterprise-wide data initiatives, ensuring integration across BI, analytics, and data infrastructure functions.
- Champion a data-driven culture by promoting the use of analytics in decision-making across business units.
Oversight of BI, Analytics, and Data Infrastructure:
- Oversee the design, development, and delivery of dashboards, reports, and visualizations that provide actionable insights.
- Guide the development of advanced analytics models and ensure their alignment with business needs.
- Ensure robust architecture and governance of data warehouses and data lakes to support scalable and secure data operations.
Stakeholder Engagement and Collaboration:
- Act as the primary liaison between the data & analytics function and business stakeholders to ensure alignment of data initiatives with business priorities.
- Translate complex data concepts into business-friendly language to support executive decision-making.
Innovation and Technology Enablement:
- Evaluate and implement emerging technologies and tools to enhance data capabilities across the organization.
- Foster innovation by encouraging experimentation with new data methodologies, tools, and platforms.
Data Governance and Quality Assurance:
- Establish and enforce data governance frameworks, policies, and standards to ensure data integrity, security, and compliance.
- Monitor data quality across systems and lead initiatives to improve data accuracy and reliability.
Role Accountability
HR Proficiency:
- Ability to recruit, recognize and cultivate high performers and expose them in order to create a robust second line of management.
- Ability to recognize low performers and guide them to improve or release them.
- Ability to treat subordinates equally without any discrimination.
- Assessment criteria of subordinates is performance that leads to planned results.
- Ensure availability of delegation of authority matrix to have sufficient delegations as per company policy.
Responsibility:
- Must take full responsibility for his operation as per the job description and the required deliverables from this position, taking into consideration the general company guidelines.
- Able to anticipate problems and make the necessary proactive steps to prevent them
- Ability to take necessary and proper timely decisions.
Delivery:
- Deliver the required results in timely manner with required quality and cost.
Making a Tangible Difference:
- Must make a tangible difference to his area of operation. and exceed business expectations.
- Able to transform the corporate goals into business plans.
- Able to Plan, follow-up and execute those plans, whether they are annual or development plans.
- Monitor the plan performance and initiate action to strengthen results and take the corrective action accordingly.
- Provide periodic work progress reports.
- Responsible for monitoring and controlling budgets and expenses to achieve the optimum cost efficiency.
- Develop the organizational structure according to the current requirements taking into consideration future and development plans.
- Ensure availability of job descriptions for all job roles and deploy them.
- Develop, coordinate well-defined written systems, policies, procedures, and seeking automations opportunities as much as possible.
- Should be conversant and able to navigate through IT solutions especially those relevant to his job and business.
- Promote the automated systems and using them fully, to spread its culture.
Quality:
- Quality is considered as alfanar’s prime competitive advantage as such, managers are expected to act accordingly.
Academic Qualification
Bachelor Degree in Computer Science or Any relevant field
Work Experience
6 to 10 Years
Technical / Functional Competencies
Business Analysis
Big Data Analytics
Data Mining
