Data Governance & Management Lead at TotalEnergies

Candidate Profile

As a Data Governance and Management Specialist you would possess the following: 

• A numerate Honours Degree (e.g. Computer Science, Mathematics, Engineering) with minimum 6 years of industry experience
• Ability to manage complex technical projects and communicate effectively with project stakeholders.
• The ability and motivation to learn modern technologies and processes when necessary.
• Knowledge of best practice principles behind cloud-based data ingestion, storage and associated data transformations and the data quality standards and schema required to support thi
• Demonstrable experience of modern ETL technologies and package
• Excellent interpersonal, communication skills, written and verbal combined with effective technical presentation skills.
• Organized, methodical, and able to multi-task whilst working under tight deadlines.

Preferred:

• An understanding of Data Management concepts and practices, especially the Data Management Association’s Data Management Body of Knowledge (DAMA-DMBOK)
• Experience writing robust, reusable code to create production-strength data pipelines.
• Strong SQL knowledge.
• Proven production experience and best practice knowledge of cloud platforms, features, and capabilities.
• Knowledge of distributed computing, data and application architectures, basic networking, security and infrastructure.
• Experience integrating cloud services to work with on premise data sources and clients.
• A thorough understanding of the Downstream industry and knowledge of downstream company's main strategic drivers.
• Experience of working within a dynamic Agile based team or willingness to learn Agile methodology.
• English language proficiency.

Activities

As a Data Governance and Management Specialist you would be responsible for the following: 

• Engage and manage a 3rd party consultant to develop a Data Governance Roadmap which includes:
• Defining the current data governance landscape within TMSA– areas of good practice, significant weaknesses
• Understanding the Group guidelines around Data Governance
• Integrating the Group guidelines into a Data Governance roadmap that will outline steps required to create effective Data governance within TMSA
• Lead the delivery of the data governance roadmap through engagement with Data Owners in the wider business.
• Understand and build a data schema for the affiliate (prioritized by business need) to understand what data it is where, how is used, who is responsible for what within the schema and other metadata (definitions, hierarchy, taxonomy)
• Ensure Data Management initiatives within the affiliate are coherent with Group Data Management guidelines and initiatives.
• Connect with relevant industry bodies to ensure the data governance roadmap aligns and makes best use of cross industry initiatives to standardize and share a common approach to describing and managing data.
• Manage the deployment of the tools and processes identified as necessary during the Data Governance Roadmap.
• Develop Data Quality measures for the affiliate and report these to relevant stakeholders (preferably with automated reporting tools)
• Coordinate Data Quality improvement initiatives within the affiliate. Act as the main point of contact with Group relating to Data Quality initiatives.
• Regularly communicate with relevant Stakeholders on Data Quality status (ManCom, Digital SteerCo, Audit), successes and initiatives underway.
• Where necessary, provide ad-hoc support to Digital & Data team sprints, using Data Engineering and Data Schema knowledge and expertise.
• Develop and lead on the data management change control process