Associate Manager - Data Engineering

Role Purpose:

The Associate Manager Data Engineering is responsible for setting and maintaining the Majid Al Futtaim Retail Digital analytics Datawarehouse to support the business on automating the generation of analytics insights, and managing and owning the full data system, handling data sources while ensuring data quality and enrichment. The role holder is also responsible for contributing to the driving of the analytics strategy and optimizations to directly/ indirectly impact critical business. The Associate Manager Data Engineering is also responsible for managing external relationships with service providers, negotiating services, managing budget and payment terms.

He/she will be playing a critical role by managing and influencing senior stakeholders & analytics functional leaders across Carrefour, including but not limited to; Leadership teams, Finance, Marketplace, Customer Experience, AdTech, and eB2B teams towards a unified vision to drive an impactful data culture and successfully contribute towards a stronger analytics CoE.

Role Details Key Responsibilities and Accountabilities:

Data Collection & Enrichment

• Design framework to collect enterprise data from multiple source systems like realtime, batch and API based into the data lake
• Design framework for enrichment, consumption and reporting layer
• Build processes to monitor and maintain the data lake; monitor the performance and usage of the data lake and perform regular maintenance, including backups and updates to ensure its continued reliability and scalability
• Ensure data enrichment by adding additional information to existing data to increase the accuracy, relevance, or value of the data, making it more useful for analysis or decision-making

Data Quality & Governance

• Ensure data quality and security; implement and maintain policies and procedures for ensuring the accuracy, privacy, and security of the organization's data
• Assign ownership of data assets to specific individuals or teams to ensure accountability for data quality and usage
• Provide data education and training to employees on the importance of data governance and how to comply with the organization's data policies and standards
• Secure the data lake by implementing security measures to ensure the privacy and confidentiality of the data stored in the data lake, such as access controls, encryption, and data masking

Data Democratization

• Partner with stakeholders by working closely with business leaders, Analytics, Data Science, IT function, and other stakeholders to understand their data needs and ensure that data is being used to support their initiatives
• Develop Data Sharing Platform/framework for sharing data internally with internal stakeholders from different entities and with external vendors for analytics, forecast and monetization

Vendor Management

• Evaluate available options and choose a vendor that can provide the necessary infrastructure, tools, and services
• Lead activities such as negotiating contracts, setting up service level agreements (SLAs), and ensuring the vendor's solution meets the organization's technical and business requirements
• Ensure effective data lake vendor management with ongoing communication and collaboration between the vendor and the organization to ensure the solution is meeting the evolving needs of the business

Coordination and Communication

• Collaborate with MAF Retail Country teams and other senior stakeholders, to provide them with regular updates on analytics, forecast and monetization etc to deliver on the business objectives
• Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals
• Collaborate with key stakeholders to ensure clarity of the specifications and expectations of the Digital Analytics function

Audit and Reporting

• Support on the preparation of business presentations and reports related to Digital Analytics function for various stakeholders, on periodic and ad hoc basis as and when required
• Perform regular audit of various processes and databases for the Digital Analytics function in order to identify gaps and risks, and propose corrective actions

Policies and Procedures

• Review and update the Digital Analytics function policies and procedures related and ensure it is implemented and reported on as a part of the policies and procedures for the Digital Analytics function
• Contribute to the development and implementation of relevant policies and procedures

Human Capital Responsibilities

• Assist with the implementation of the performance management process by setting objectives, monitoring performance, and provide constructive feedback and provide inputs to senior management
• Provide mentorship for the purpose of developing a continuous talent pipeline for key roles
• Provide inputs on training needs and coordinate with the HC department to ensure facilitation of training requirements
• Develop and implement on the job-training for the team
• Provide inputs for the development of annual manpower plan
• Ensure the implementation of MAF Retails corporate policies and relevant procedures

Qualification, Experience & Skills:

Minimum Qualifications/education

• Bachelors Degree in Computer Science or any other relevant field
• Masters Degree in the same field is preferred

Minimum experience

• 5+ years of experience in data management, digital analytics and any other data-related roles
• 2+ years in a large-scale operating e-commerce business is preferred

• Skills
• Sound understanding of eCommerce and Retail businesses
• Strong understanding of data modeling and database design
• Expert level hands-on experience with data warehousing and big data technologies
• Knowledge of data governance and data management best practices
• Expert in data integration and ETL (extract, transform, load) processes
• Understanding of data security and privacy regulations
• Sound knowledge of Cloud platforms including GCP, Azure, AWS
• Strong in SQL, NoSql, Hadoop, Hive, Spark
• Strong in Vendor Management, negotiation and relationship building
• Sound understanding of business problems and translating them into analytical solutions
• Ability to work in a fast-paced start-up environment
• Proactive & execution focused approach with high ownership & accountability
• Excellent verbal and written communication skills; expertise in converting technical messages into clear messages that outline why change is needed that appeals to key business personas
• Strong business communication and presentation skills with proven experience managing executive-level communications
• Strong English language skills (Speaking, Reading and Writing) with exceptional business writing, Arabic is a plus