Job Type
Full-time
Work Type
On-Site
Location
Dubai, UAE
Experience
15 - 25 years
Planning, execution, and successful delivery of data engineering projects
- Project initiation and planning: Define project scope, objectives, timelines, budget, resources, and risks.
- Resource management: Allocate, manage, and track the performance of the data engineering team.
- Communication and collaboration: Facilitate communication between stakeholders, including data engineers, data scientists, business analysts, and executives.
- Risk management: Identify, assess, and mitigate project risks proactively.
- Issue resolution: Address project challenges and issues promptly and effectively.
- Monitoring and reporting: Track project progress, measure performance against targets, and report findings to stakeholders regularly.
Key Responsibilities
Program Leadership:
- Develop and execute a comprehensive Data Governance strategy aligned with the organization’s objectives and regulatory requirements.
- Act as a liaison between senior leadership, stakeholders, and cross-functional teams to ensure program alignment and success.
- Drive organizational change to establish a culture of data governance and stewardship.
- Great focus on program risk identification and timely reporting and devising action to address it.
- Cost benefit analysis and justification to investments.
Planning and project management:
- Project planning, scheduling & tracking
- Work prioritization and resource planning
- Risk identification and reporting
- Team planning and management
- Status reporting
Governance Framework Implementation:
- Establish and manage a robust Data Governance framework, including policies, standards, roles, and responsibilities.
- Implement data cataloging, metadata management, and data lineage tools to enhance data visibility and accessibility.
- Oversee the creation of workflows and processes to ensure adherence to governance policies.
Stakeholder Engagement:
- Reports to CXO level executives with program status update, risk management and outcomes.
- Collaborate with business units, IT teams, and compliance officers to identify governance priorities and resolve data-related challenges.
- Facilitate the Data Governance Council meetings and ensure effective decision-making.
- Serve as a point of contact for internal and external auditors regarding data governance-related queries.
Compliance and Risk Management:
- Ensure adherence to industry regulations and banking-specific compliance requirements.
- Identify and mitigate risks related to data usage, sharing, and security.
Monitoring and Reporting:
- Develop key performance indicators (KPIs) and metrics to measure the effectiveness of the Data Governance Program.
- Provide regular updates to CXO level executive leadership on program status, risks, and outcomes.
- Prepare and present audit and compliance reports as required.
Team Leadership and Mentorship:
- Lead cross-functional teams, including data stewards, analysts, and governance professionals.
- Provide training and mentoring to promote awareness and understanding of data governance practices.
Technical Expertise:
- Understanding of data engineering principles and practices: Good understanding of data pipelines, data storage solutions, data quality concepts, and data security is crucial.
- Familiarity with data engineering tools and technologies: This may include knowledge of ETL/ELT tools, Informatica IDMC, MDM, data warehousing solutions, Collabra data quality, cloud platforms (AWS, Azure, GCP), and data governance frameworks
Qualifications
- Bachelor’s degree in computer science, Data Management, Business Administration, or a related field; MBA or equivalent experience preferred.