General Job Description
- Lead TASMU Platform’s Data Management, Data Science, Data Solutions
Development and Data Monetisation functions. - Manage, protect, and process data collected and generated by the
organization. - Coordinate the Data Team to ensure high outcome of work and respect of the
data privacy & security standards.
Main responsibilities shall include: - Oversee the collection, storage, management, quality, and protection of data
across TASMU Platform. - Develop and implement data policies and procedures to ensure high data
quality and compliance with regulations. - Lead data science initiatives to extract insights from data, build predictive
models, and support decision-making processes. - Lead development and maintenance od machine learning models and
algorithms. - Design and develop data solutions to support various smart city applications
and services. - Work with cross-functional teams to integrate data solutions into the TASMU
Platform. - Identify opportunities for data monetization and develop strategies to leverage
data for financial gain. - Define the data monetization strategy making sure that data is sanitized,
elaborated, and packaged in order to maximize its money for value ratio. - Collaborate with business units to create data-driven products and services.
- Set the overall data management and data governance strategy of every
channel. - Ensure that data is protected from unauthorized access and breaches.
- Implement and maintain robust data security practices and protocols.
- Ensure data escalation, resolution, integration & development in compliance
with the data privacy & security standards. - Coordinate and manage a team of data architects, data engineers and data
scientists (internal) and marketing & Sales teams to promote the power of data
in TASMU Platform (external). - Mentor and support team members, fostering a collaborative and innovative
environment. - Take responsibility for the data integration corresponding to customer
onboarding and for creating data sharing agreements with the potential
customers. - Drive project and operational decisions related to data – along with OC
leadership, TASMU platform team, service providers and sectors within the
Smart Qatar ecosystem. - Participate and take an active role in Smart Qatar data governance forums and
committees. - Drive the ongoing evolution of the TASMU data architecture and data
management capabilities throughout the entire products/UCs lifecycle in any
channel of the Platform.
Skills & Abilities - Strong leadership skills with the ability to inspire and motivate a team.
- Excellent project management skills to oversee multiple initiatives
simultaneously. - Ability to outline clear directives to a team of data experts in a collaborative
manner. - Proven track record of ensuring a sstrategic and business-oriented
perspective of data management and monetisation. - Strong analytical and problem-solving skills.
- Technical brainpower to assess and review data management capabilities.
- Proven leadership and execution experience in large programs with multiple
stakeholders. - Expertise in big data engineering, cloud data platform (preferably Azure),
ML/AI concepts and techniques, data architecture and data governance
domains (MDM, Data quality, data security, data integration etc.). - Excellent verbal and written communication skills in English (Arabic will be a
great advantage). - Ability to communicate complex technical concepts to non-technical
stakeholders. - Ability to develop and implement data strategies aligned with organizational
goals. - Strong interpersonal skills with the ability to work effectively in crossfunctional teams.
Technical Skills - Strong knowledge about how to process large amounts data from different
data sources (SQL, No-SQL, Big Data). - Strong knowledge of applied mathematical and statistical analysis.
- Strong knowledge of machine learning and artificial intelligence techniques.
- Strong knowledge of reporting and data visualization tools.
- Proficiency in data governance, data quality management, and data
protection practices. - Knowledge of data architecture, data warehousing, and data integration.
- Understanding of data monetization strategies and business models.
- Familiarity with data security standards, best practices and regulatory
requirements.
Potential background - Bachelor’s or Master’s degree in Data Science, Computer Science,
Information Systems, or a related field. - Several years of Experience in the field of data governance, enterprise data
management, business intelligence and advanced analytics preferably in the
ICT sector or Smart City/Platform-driven projects. - Expertise in big data engineering, cloud data platform (preferably Azure),
ML/AI concepts and techniques, data architecture and data governance
domains (MDM, Data quality, data security, data integration etc.). - Experience leading data teams and managing data projects.
Preferred Tools & Soft Skills
Preferred Tools - Azure Data Services (e.g., Azure Data Lake, Databricks, Azure Data Explorer,
Azure AI Studio) - Data science tools (e.g., Python, R, TensorFlow, PyTorch, OpenAI)
- Data visualization tools (e.g., Power BI, Tableau)
- Data management and governance tools (e.g., Informatica, Collibra, Purview)
- Security tools (e.g., Azure Security Center, Azure Key Vault)
Soft Skills: - Business Thinking
- Leadership and team management
- Strategic planning and execution
- Innovation and creative problem-solving
- Adaptability and continuous learning
- Professional Orientation
- Achieving Results
- Ethical and data privacy consciousness