Roles and responsibilities
Roles And Responsibilities
1- Data Strategy and Governance:
- Develop and implement a comprehensive data strategy aligned with business objectives, regulatory requirements, and industry best practices.
- Establish data governance policies, standards, and frameworks to ensure the quality, privacy, and security of our data assets throughout their lifecycle.
- Oversee compliance with data privacy regulations (e.g., GDPR, CCPA) and internal data management policies.
2- Data Platforms and Architecture:
- Define the architecture and roadmap for our data platforms, incl. data warehouses, data lakes, and BI systems.
- Lead the evaluation, selection, and implementation of data management technologies and tools.
- Collaborate with IT and business stakeholders to design scalable and resilient data architectures that enable efficient data integration, storage, and access.
3- Data Engineering and Integration:
- Manage a team of data engineers responsible for building and maintaining data pipelines, ETL processes, and data integration solutions.
- Drive automation and optimization of data workflows to ensure timely and accurate delivery of data to end users and analytical systems.
- Implement best practices for data modeling, schema design, and data governance to facilitate data reuse and interoperability.
4- Data Science and Analytics:
- Oversee our data science and analytics capabilities, including predictive modeling, machine learning, and advanced analytics.
- Collaborate with business teams to identify opportunities for leveraging data insights to drive innovation, optimize processes, and enhance decision-making.
- Foster a culture of experimentation and continuous learning within the data science team, promoting the use of data-driven methodologies to solve business problems.
5- Information and Records Management:
- Develop and implement policies and procedures for managing enterprise information assets, including documents, records, and knowledge repositories.
- Ensure compliance with legal and regulatory requirements for information management and retention.
- Collaborate with stakeholders to define requirements
Desired candidate profile
KEY RESULT AREAS
- Budget & Actuals
- Adoption rate of Data platform
- Data quality
- Performance vs SLA
- Automation & Reusability of capabilities
- Compliance
- Leadership (360 evaluation)
Related Years Of Experience
- Minimum of 14+ years of experience in data management, analytics, or information governance roles, with a proven track record of leadership in complex organizations.
YOE IN MANAGERIAL POSITION
- Min of: 6+ years of managerial experience in a related field
Field Of Experience
- Large multinationals, Consumer driven businesses, Real Estate Industry Preferred
Technical And Interpersonal Skills
- Strong understanding of data management principles, methodologies, and technologies, including datawarehousing, big data, cloud platforms, and data governance frameworks.
- Experience leading cross functional teams and driving data driven decision making across the organization.
- Excellent communication, collaboration, and stakeholder management skills, with the ability to influence and align diverse stakeholders around a shared vision.
- Certifications in data management (e.g., CDMP), data governance (e.g., DGSP), or related fields are highly desirable.
QUALIFICATION
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field; advanced degree preferred (Master, MBA)