Data Operations Manager

---

Job description

Data Ops Manager - Up to 80,000 + Bonuses - Remote + Occasional Office Visit (Once per Month/Quarter in London)

Yolk is pleased to partner with a leading, socially responsible financial services company. They've set up a new division focused on investment into affordable housing and are now looking for an experienced Data Operations Manager to join their mission.

As a key player in the Data Team, you will manage Data Operations and play a crucial role in designing, building, and implementing their data strategy. Since their entry into this new market, they have harnessed the power of Salesforce and Microsoft 365 to drive efficiency and effectiveness. Your expertise in data integrity, quality, and operations will be vital as they continue to innovate and scale their services.

In this role, you'll work in a dynamic, high-performing team where collaboration across different areas of expertise is key. You'll enjoy a varied workload, including exciting projects aimed at transforming how they manage and utilize complex data sources. This is a fantastic opportunity to contribute to an industry-leading end-to-end platform.

While this is not a hands-on technical role, you will need a strong understanding of the full data lifecycle, including ETL pipelines, cloud computing (ideally AWS), data visualization and reporting, and CRM systems (ideally Salesforce). You will also need strong Excel skills.

They're based in modern offices in Central London, and the role can be mostly remote, with monthly/quarterly visits into the office.

This is what's expected of you:

• Develop and manage the Data Operations function, building an operating framework that effectively supports data consumers across the business and beyond.
• Ensure all data meets required integrity standards, ensuring accuracy and reliability across all datasets.
• Oversee the maintenance of effective ETL processes, crucial for the seamless flow and transformation of data.
• Establish and maintain strong control frameworks for all managed data sets, ensuring transparency and creating agile monitoring systems throughout the organization.
• Collaborate with functions like Risk Management, IT, Business, and Compliance to advance the maturity of data quality and control processes.
• Ensure the delivery of comprehensive and accurate reports for senior management, business committees, and other key stakeholders.
• Educate and advocate for best practices in data quality and controls in a practical and agile way that suits their dynamic environment.
• Lead a high-performing team dedicated to delivering exceptional stakeholder and consumer support, unlocking value from data assets.
• Utilize agile methodologies to oversee and deliver on multiple projects, ensuring they meet objectives on time.
• Work closely with diverse, multi-disciplinary teams, including Data SMEs, Data Stewards, and other enabling functions, to ensure successful project completion.
• Lead efforts to continually improve data quality and sets, integrating statistical methods into standard practices to enhance performance.
• Provide guidance and support to teams and stakeholders, improving their data management practices, from framework development to operationalization.
• Motivate and develop team members, fostering a culture of high performance and alignment with company goals.

We'll also want to know about:

• Your experience in implementing data governance frameworks
• Your exposure to data modeling
• What you think are the most important aspects of designing good data ecosystems
• Your understanding of modern data stacks or platforms

The experience you'll bring to the team:

• Proven track record of leading and managing teams responsible for data quality and controls, especially within an agile environment.
• Experience with a major CRM technology solution, preferably Salesforce, is crucial for this position.
• A solid background in data quality and controls, including designing data structures, implementing effective data controls, developing quality metrics, and applying basic statistics and data visualization techniques.
• Strong verbal, written, and listening skills, with the ability to simplify complex concepts into user-friendly language.
• Ideally, a combination of operational experience with a focus on operational risk and exposure to data governance. A thorough understanding of data structures, data marts, business intelligence, and governance capabilities is important.
• Understanding of core business functions and related data roles (owner, steward, custodian, consumer) to ensure compliance with data quality and control standards.
• Familiarity with data management technologies, including data catalogs, data quality management tools, enterprise systems, and Cloud technologies, is highly advantageous.

Are you up to the challenge?

Contact Lewis Allen to find out more!

Please apply with a CV and a cover letter outlining why you're perfect for the role. We also have a referral scheme, so if you know someone who would be great for the role, please get in touch.

Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive, we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.

<!– job description page –>