Description:
We are looking for a confident Data Solutions Manager who has plenty of enthusiasm and is a strong collaborator, able to work with different teams across the business and deliver the optimum outcomes for our clients. The successful candidate will work across a variety of accounts including Specsavers, John Lewis Partnership, British Airways, GiffGaff, Virgin Media and O2.
We are looking for an innovative, forward-thinking person who will thrive in our diverse culture and contribute to MG OMD’s success by ensuring we are developing best in class data solutions to our clients.
They must also be highly organized and demonstrate proficiency in technical problem-solving, as well as being able to run multiple projects simultaneously.
The Successful Data Solutions Manager Will
- Support onboarding of new clients and projects in a standardised way, making sure that we can deliver data solutions in the most efficient and quality-driven way possible.
- Work with appropriate stakeholders to identify and implement continuous improvement in data management for MG.
- Define/Create documentations and training requirements for any changes in policies, data flows or data requirements.
- Work with Data SMEs (subject matter experts) to ensure compliance with standards and procedures, control, and audit for all Data Governance responsibilities.
- Act as a liaison between SMEs, end users and all involved in the data journey to resolve issues and meet objectives.
- Support implementation of data pipelines and own data integration projects
- Ensure the quality of data points are maintained and automatically governed, and monitoring is in place to highlight data quality issues
- Be committed to constantly learning and honing your craft
- Assist data culture initiatives and support in raising awareness about data best practices across the business.
The Successful Data Solutions Manager Will Have
Data management
- Proficiency in data management concepts, including data governance, data quality, data integration, and data lifecycle management
- Experience in implementing data delivery pipelines, data warehouses, or data lakes as well as knowledge of data modelling and database design principles
Project management
- Proven track record of successfully managing multiple data projects simultaneously from initiation to delivery whilst prioritize tasks effectively.
- Familiarity with project management methodologies (Agile, Scrum, Waterfall) and tools
Technical proficiency
- Solid understanding of data technologies, including databases (SQL, NoSQL), data warehousing solutions (e.g., Snowflake, Redshift), and ETL tools as well as cloud platforms (e.g., AWS, Azure, GCP) and their data-related services
- Ability to collaborate with data engineers and business users to ensure efficient data delivery and analysis.
- Experience in BI tools such as PowerBI, Tableau and QlikView