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Manager, Data Lifecycle

Date: 05-Jan-2023

Location: Dubai, AE

Company: Majid Al Futtaim

Data Lifecycle Manager

 ROLE DESCRIPTION

Title:

Code:

Data Lifecycle Manager

 

Role Holder (if currently filled):

Role archetype

 

 

Division/Department

Grade/Level

Asset Management

Manager

Reporting to

Location

Lead, Data & Analytics

Dubai, United Arab Emirates

Managing/Leading (if applicable):

Date of last revision

5-10 (Internal & External)

 

 

Role Purpose:

A fundamental first step in driving a data-driven approach to support decision-making, is establishing the optimal data infrastructure to run analyses on. Based in Dubai, and reporting into the Lead, Data & Analytics within the Shopping Malls business, the role will be responsible for managing delivery for data engineering initiatives and also manage day to day day operations related to supporting various initiatives across the business, functions as well as the Analytics teams.

The role will be responsible for all data extraction, loading, cleansing, managing and operating the data assets as well as manage all integrations and data delivery pipelines.

Role Details – Key Responsibilities and Accountabilities:

  • Data Integration strategy and planning
    • Perform analysis and gain insight into a broad range of very large data sets across all application systems in the group
    • Ensure that the data and analytics architecture, quality and availability is maintained up to the highest standards and latest best practices
    • Consolidate external and internal data and assimilate it into the required format
    • Process, cleanse, and verify the integrity of data used for analytics using various various tools including but not limited to infomratica
    • Develop data models, data integrations, data pipelines from/to source application systems
  • Data flows operations and maintenance
    • Maintain the overall Data lake and data platforms and data models, in addition to integration interfaces needed to extract, transform and load (ETL) data from the appropriate sources
    • Support internal colleagues and consultants with the ETL process to ensure data is delivered properly
    • Take the lead on maintenance and support required on the data
    • Provide comprehensive support to all relevant stakeholders to ensure proper compliance with data governance policies and standards
  • Prototype to production
    • Manage internal and vendor resoruces and be responsible for all agreed delivry schedules
    • Provide guidance on best practices for scalable data processing
    • Communicate data requirements and dependencies with stakeholders, while also dimensioning resource and hardware requirements of production systems
    • Mitigate possible data risks and planning, supporting and performing system / application upgrades to address them
  • Collaborations and Interactions with Other Teams
    • Develop strong relationships and work collaboratively with different stakeholders and IT professionals to understand their needs and current infrastructure
    • Work closely with consultants to oversee delivery of any externally provided infrastructure
    • Liaise with various internal teams on data deliveries, setting up a QA system, and addressing any anomalies or gaps in the data.

Definition of Success

 

Functional/Technical Competencies

The successful candidate will have an exceptional track record of strategically planning, building and leading world-class data infrastructure within large, complex businesses.

They will have deep technical expertise, including familiarity with the latest techniques in extracting, transforming, loading and linking structured and unstructured data across multiple touch-points, both on- and offline, from numerous sources.

They will be an inspiring leader and change agent, capable of articulating and presenting a clear and compelling vision, and taking a complex organization on a journey.

Summary of required experience and attributes

  • DATA LEADERSHIP
    • Expert in building, leading and maintaining large-scale data infrastructure platforms
    • Excellent understanding of data management infrastructure solutions and their trade-offs, including data warehouse, ETL and relational database architecture, cloud and distributed database architectures (e.g., HDFS, HIVE, MapReduce, Spark, PostgreSQL, MySQL, AWS S3,  HBASE, VERTICA, Scyla, Informatica BDM/BDS,)
    • Strong experience in management of distributed systems and technologies (e.g., Apache Mesos, Apache YARN, Marathon, Hadoop/HDFS)
    • Advanced skill in of one, or more, of the following data integration/ETL/ELT tools: Informatica, Talend, SSIS, DataFlow, Spark, APIgee, Mulesoft. Informatica skills preferred.
    • Strong experience in data modeling with excellent knowledge of DWH Modeling approaches (e.g, Kimbal and Inmon)
    • Prior experience of working with cloud DWH solutions (e.g, Redshift, Azure Synapse, Snowflate etc.)
    • Expert level skill in SQL
    • Strong experience of creating enterprise semantic models and self service BI using Microsoft Power BI Platform (Azure Analysis Services, Power BI datamarts)
    • Experience in creating valuable documents (ERDs, Data Dictionary, Data Flow diagrams, data architecture/solution design etc)
    • Knowledge of Data Governance & Quality procedures, methonds and tools (e.g, Informatica Axon, EDC, IDQ)
    • Advanced skills in data design for analytics including relational and NoSQL.
    • Knowledge of at least one scripted language (e.g. Python, Perl, Shell), including its scientific / statistical packages.
  • CHANGE AGENT - Strong communication skills and experience with change management to help change mindsets and behaviors across the organization
  • PRODUCT MINDSET – Understand and imbibe the product vision for the data engineering Platform and manage each new requirement or change request in a highly cohesive fashion.
  • PEOPLE LEADERSHIP – Confident, engaging people leader, able to communicate a vision and bring along on the journey
  • ANALYTICAL, COMMERCIAL MINDSET - Highly analytical with a structured problem-solving approach and a strong business acumen

 

Personal Characteristics and Required Background:

Personal characteristics

  • Will be a proactive problem solver with immediate professional and intellectual credibility and an impactful style. Will be collaborative, low-ego, pragmatic, and excited about Majid Al Futtaim. Will live and breathe Majid Al Futtaim’s values.

Minimum experience

  • 8+ years of experience with data analysis and preparation, including considerable experience with very large data sets and unstructured data.

Minimum Qualifications/education

  • Bachelor’s degree in computer science from a top university
  • Certifications in statistics, data mining and machine learning a plus

 

Signature of Role Holder:

 

Approved By

 

 

 

Head of Division/Department/Sec:

 

Head of Human Capital: