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Data Lead for Qatar

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

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