Data Lead

Lead the COMPANY Platform’s Data Management, Data Science, Data Solutions Development and Data Monetization 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 the COMPANY 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 of machine learning models and algorithms.

Design and develop data solutions to support various smart city and services.

Work with cross-functional teams to integrate data solutions into the COMPANY 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 the COMPANY 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, the COMPANY 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 COMPANY 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 strategic and business-oriented perspective of data management and monetization.

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 cross- functional 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.