Data Governance SME (Freelance, Contract)

As a Data Governance SME at Omniscient Digital, your primary responsibilities include reviewing and providing insightful feedback on content related to data governance, compliance, and AI oversight. You’ll ensure our content is technically accurate, aligns with industry standards, and speaks directly to seasoned professionals. Collaborating with editorial teams, you’ll help shape the narrative around complex data challenges, making it accessible to audiences such as Chief Data Officers and Heads of Governance.

To qualify for the Data Governance SME role at Omniscient Digital, candidates should have 5+ years of experience in a data-related field including roles like Chief Data Officer or Senior Data Governance Lead. A deep understanding of enterprise data ecosystems, governance frameworks, and regulatory issues is essential. Familiarity with tools such as data catalogs and governance dashboards, as well as strong communication and collaboration skills, are also valuable assets for this position.

A Data Governance SME at Omniscient Digital contributes to content accuracy by leveraging their expert knowledge to review and validate technical aspects of content. They provide practical insights that ensure the material reflects the challenges and expectations of industry leaders, thereby enhancing the overall quality and credibility of the content we publish, making it a trusted resource for data professionals.

The hiring process for the Data Governance SME role at Omniscient Digital involves a thoughtful review of every application. Typically, candidates can expect to hear back within a few weeks. However, response times may vary based on applicant volume. Given the urgency of the hiring need, promising candidates may receive quicker outreach via email, so it's essential to keep an eye on your inbox!

At Omniscient Digital, we prioritize growth and development by fostering an inclusive culture where learning from each other is encouraged. As a Data Governance SME, you'll have access to resources and opportunities to further hone your expertise in data governance, while collaborating with a supportive team dedicated to producing high-quality content. Your insights not only contribute to our projects but also help you expand your professional network and knowledge in the field.

In answering this question, showcase your familiarity with various data governance frameworks such as DAMA-DMBOK and FAIR principles. Discuss specific instances where you've implemented these frameworks in your previous roles, highlighting how they helped you manage data governance effectively within an enterprise setting.

When preparing your response, discuss strategies you've developed or employed in past roles to ensure data quality and consistency. This could include implementing data standards, conducting regular audits, or collaborating with different teams to establish a unified understanding of data definitions and quality metrics.

In your response, emphasize the role of metadata management as the backbone of effective data governance. Provide examples of how strong metadata practices facilitate data discoverability, lineage, and compliance, showcasing your understanding of its impact on overall data strategy.

Prepare to discuss a specific compliance challenge where you played a pivotal role in addressing the issue. Highlight the steps you took to resolve it, the stakeholders involved, and the outcome, showcasing your problem-solving skills and expertise in regulatory matters.

Here, express your commitment to continuous learning by mentioning industry publications, webinars, conferences, and networking with other professionals. Describe any proactive measures you've taken to stay informed about new developments in the field of data governance.

List specific tools you have experience with, such as data catalogs, observability platforms, or governance dashboards. Discuss how you used these tools to streamline data governance processes, improve visibility, and ensure compliance in your previous roles.

In your answer, demonstrate your ability to simplify complex ideas by providing relatable examples or analogies. Emphasize your communication skills and previous experiences where you successfully conveyed technical information to non-technical stakeholders.

Discuss specific pain points you've identified through your interactions with data leaders, such as challenges related to achieving data quality, managing compliance, or ensuring stakeholder buy-in for governance initiatives. Highlight how you've helped address these concerns in your past roles.

When answering this question, clarify what AI model governance entails and its importance in ensuring ethical and compliant AI usage. Provide examples from your experience where you've been involved with AI governance practices, and discuss the challenges and solutions relevant to this area.

Prepare to discuss your strategies for harmonizing governance requirements with the need for business flexibility. Highlight your understanding of risk management and how you’ve applied pragmatic approaches to implementing controls that don’t stifle innovation in past experiences.