Main duties and responsibilities:

• Interacting and inputting into the overall data strategy, including briefing senior management, support functions, development teams and the business stakeholders.
• Understanding goals, challenges, and opportunities and how data governance can support this.
• Employing effective network, relationship building and negotiation skills with creating and maintaining stakeholder relations.
• Working effectively with a wider global network of data owners, data stewards, and ambassadors across the business.
• Communicating with business stakeholders and offering guidance and solutions.
• Maintaining a good working relationship with clients, operating staff and third parties who contribute to the effective operation and timely completion of assigned projects.
• Documenting business data, activities, process maps and associated data flows.
• Generating conceptual, logical, and physical data models and identify master data, material data, and data issues working closely with the network of data stewards.
• Providing support to the data stewards to raise data issues, progress documenting the AS-IS data picture and working towards the TO-BE data picture and final resolution of data issues.
• Progressing work using both waterfall and agile ways of working and use DevOps systems.
• Providing experience and understanding of the key elements of business structures and operating models specifically with regards data and data quality.
• Providing regular progress reporting and reviewing opportunities to improve ways of working.
• Providing assessment of the value returned through data issue resolution directly and indirectly downstream of the issue identified.
• Developing data collection processes to generate information for use in quality control and other analytics value applications.
• Presenting results clearly and to an appropriate level for the audience/user, often non-technical.
• Ability to design and develop dashboards and engaging data visualisations. Experience with data visualisation tools is an advantage.
• Ability to document data pipelines for multiple streams of data. Experience with data flow automation tools is an advantage.
• Maintaining up-to-date awareness of data governance industry products, standards, legislation, and best practice.
• Communicating knowledge and experience in modern data theory and data driven/centric models.

QUALIFICATIONS, SKILLS and EXPERIENCE 

Required:

• Knowledge of data systems, data quality, problem solving and root cause analysis.
• Relevant professional certification (e.g., Certified Data Management Professional (CDMP), Certified Information Privacy Professional (CIPP)).
• Understanding of a Project / Engineering company.
• Understanding of Master Data Management.
• Understanding of TOGAF 9.2.

TMM Recruitment INDIT

Email:it_team@tmmrecruitment.com