Senior Data Governance Lead

As a Senior Data Governance Lead, your responsibilities will include evaluating and enhancing existing data governance policies across various asset classes, optimizing sales data and performance reporting, and implementing data feeds into the client’s central repository in accordance with their data strategy. Your role will also involve collaborating with different teams to ensure data integrity and compliance, making your insights crucial for the firm's success.

To excel as a Senior Data Governance Lead, you should have significant experience in asset management, particularly in developing and enforcing data governance policies. Strong analytical skills, proficiency in PowerBI, SQL, and familiarity with data processing tools like Alteryx and IntoZetta are essential. While Snowflake experience is a plus, it’s not a strict requirement. A deep understanding of business functions within asset management is also critical.

This Senior Data Governance Lead role offers a hybrid work model, allowing you to spend three days working in the office and the remaining two days working remotely. This flexibility provides a great work-life balance while still enabling you to collaborate effectively with your team and stakeholders on crucial data governance projects.

The salary for the Senior Data Governance Lead position ranges from £90,000 to £100,000 per annum, depending on your experience and qualifications. This competitive salary aligns with the critical nature of the role in managing and optimizing data governance in the asset management industry.

In the role of Senior Data Governance Lead, you'll work with various tools and technologies, primarily focusing on PowerBI and SQL for data analysis and visualization. Additionally, experience with Alteryx and IntoZetta will be beneficial for data preparation and processing. Familiarity with Snowflake can also enhance your ability to manage data efficiently, although it’s not mandatory.

When answering this question, focus on specific examples where you developed or implemented data governance policies in your previous roles. Highlight the challenges you faced, how you addressed them, and the positive impact your work had on data integrity and compliance within the organization.

To effectively address this question, discuss your approach to establishing robust data quality checks and audits within governance frameworks. Emphasize your experience with metrics, regular reviews, and collaboration with other teams to ensure adherence to regulatory standards and internal policies.

Explain how effective data management is crucial for decision-making, risk assessment, and investment strategies in asset management. Provide insights into how data governance enhances transparency, compliance, and the overall efficiency of asset management operations.

When responding, mention the tools you are most proficient in, like PowerBI or SQL, and explain why you prefer these tools based on their functionalities, ease of use, and capabilities in handling large datasets. You can also touch upon how you leverage these tools for visualizing data governance metrics.

Discuss your methodology when designing a new data governance model—including assessing current policies, understanding business requirements, engaging stakeholders, and establishing best practices. Highlight your collaborative approach and ability to align governance with organizational strategy.

Provide a detailed account of a specific project where you faced challenges, such as resistance to change or technical hurdles. Emphasize your problem-solving skills, how you navigated these challenges, and the successful outcomes achieved through your leadership.

Explain your strategies for staying informed about evolving data governance regulations, such as subscribing to industry newsletters, participating in webinars, or attending conferences. Discuss how you apply this knowledge to enhance your governance practices.

In your answer, highlight specific projects where you’ve utilized APIs to integrate or manage data flows within a governance framework. Discuss your understanding of API documentation and how you ensure the accuracy and security of data being shared.

Discuss the significance of cross-functional collaboration in the success of data governance initiatives. Share examples of how you facilitated teamwork among different departments and the positive outcomes that resulted from effective communication.

Share your insights on emerging trends in data governance, such as the rise of automation, AI-driven analytics, and a greater emphasis on data privacy and ethics. Discuss how these trends will impact the role of data governance in asset management and how you plan to stay ahead of these changes.