Database Manager

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As Smart Works moves into our next strategy phase, we are looking to strengthen our commitment to being led by data and using technology to enhance the service we provide. The Database Manager will play a key role in guiding this mission.

Smart Works is looking for an experienced and motivated database manager passionate about using data for good. This role will be crucial in managing and developing Smart Works' CRM systems that underpin the running of our key functions, ensuring data integrity, providing support to all users across the UK and enabling strong outcomes for the women we support. The post holder's work will be essential in allowing staff across the charity to use data to improve our operations and outcomes for the women we support as we enter our new strategy cycle.

You will also play an important role in training and supporting staff across all Smart Works locations to use these systems, enabling them to harness the power of data in their day-to-day work. Your ability to communicate complex technical concepts to non-technical staff will be vital to the success of this role.

The role will be a hybrid position, based out of one our UK Smart Works centres. but the role will work across Smart Works, providing support and maintaining digital infrastructure across all the teams.

There may be occasional evening and weekend work as the successful candidate will be part of the wider centre team, supporting with networking and key events support. The post holder, if not based in London, will also be required to travel into London on occasion for training and team meetings.

To apply for this role please read the full job description attached and then submit a CV and answer the following questions by 5pm on Monday 7th October. Your application should be addressed to Melissa Pittman, Head of Data and Impact.

• Why are you interested in working at Smart Works, and how do you see your role as a Database Manager contributing to our mission? (Max 250 words)
• What is your approach to ensuring data accuracy and integrity within a database? (Max 350 words)
• How do you ensure effective communication with non-technical colleagues when discussing database issues or needs? (Max 350 words)