Dummy Linkedin

**Accountabilities**:
1. Data Strategy and Management:

- Develop and execute a comprehensive data strategy aligned with the organization's goals and objectives.
- Define data governance policies and ensure compliance with data privacy regulations.
- Establish data quality standards and implement procedures for data cleansing and enrichment.
- Manage the acquisition, integration, and storage of large volumes of structured and unstructured data.

2. Big Data Analytics:

- Lead the design and implementation of scalable big data analytics solutions, leveraging cutting-edge technologies.
- Identify and assess relevant data sources, both internal and external, to extract valuable insights.
- Collaborate with cross-functional teams to develop data-driven solutions that drive business growth and operational efficiency.

3. Team Leadership:

- Build and lead a high-performing data and analytics team, fostering a culture of innovation, collaboration, and continuous learning.
- Provide guidance, mentorship, and professional development opportunities to team members.
- Set clear goals and performance expectations, ensuring the team's success in delivering on key projects and objectives.

4. Stakeholder Management:

- Partner with senior executives and department leaders to understand their data and analytics needs.
- Translate business requirements into data-driven solutions and actionable insights.
- Present findings and recommendations to stakeholders in a clear and concise manner, enabling informed decision-making.

5. Technology Evaluation and Implementation:

- Stay abreast of emerging trends and advancements in big data technologies, analytics tools, and data management practices.
- Evaluate and select appropriate technologies and platforms to support data analytics initiatives.
- Collaborate with IT teams to ensure the successful implementation and integration of data-related systems.

6. Problem Solving & Analytical thinking:

- The role holder will identify and resolve problems pertaining to day-to-day issues, such as obtaining sufficient resource support from other departments and compelling senior management to make decisions in a timely fashion,
- Utilize technical skills for data analysis and optimization: The expert leverages their technical skills in various analytics techniques such as data management, machine learning, predictive modelling, time-series forecasting, and optimization.
- These skills enable them to analyse market trends, customer behaviour, and optimize strategies for maximum impact and business success.

**Qualifications, experience, skills and competencies**

**Qualifications**:

- Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Statistics).

**Experience**:

- Proven experience (8+ years) in leading data and analytics functions, preferably in a big data environment.
- Strong knowledge and expertise in big data technologies (e.g., Hadoop, Spark, NoSQL databases) and cloud-based data platforms.
- Proficient in advanced analytics techniques, such as predictive modeling, machine learning, and data visualization.
- Familiarity with data governance frameworks and data privacy regulations (e.g., GDPR, CCPA).
- Excellent leadership and team management skills, with a track record of building and developing high-performing teams.
- Strong business acumen and the ability to translate business requirements into data-driven solutions.
- Excellent communication and presentation skills, with the ability to effectively convey complex concepts to non-technical stakeholders.
- Good written and verbal communication skills are a requirement.
- Excels at delivering results in a fast-paced, ambiguous environment.
- Fluent in English, Arabic is a plus.

**Skills**:

- Strong communication and interpersonal skills. Especially the ability to work cross-departments to achieve results
- Be a team player and a respected leader
- Run efficient and effective meetings
- Communicate clear decisions, next steps, and accountability
- Have good presentation skills
- Strong attention to detail
- Have the ability to think big, delivering innovative strategic solutions
- Budget management skills

**Competencies**:

- Think strategically (Level 3 of 5)
- Achieve tangible results (Level 3 of 5)
- Lead breakthrough change (Level 3 of 5)
- Exceed customer expectations (Level 3 of 5)
- Nurture, Inspire and Motivate (Level 3 of 5)
- Target win-win outcomes (Level 3 of 5)