Data Governance Technical Lead - Hybrid

As a Data Governance Technical Lead at Citi, your primary responsibilities include leading application systems analysis, implementing new programs, and collaborating with management to ensure seamless integration of functions. You’ll tackle high-impact projects by analyzing complex business processes, develop rigorous coding and testing standards, and mentor mid-level developers. Your role ensures that data quality meets industry standards while fostering compliance with regulations.

To qualify for the Data Governance Technical Lead position at Citi, candidates should possess a bachelor's degree (with a preference for a master's degree), alongside at least six years of relevant experience in applications development and systems analysis. Strong data analysis skills in SQL and Python are essential, as well as comprehensive knowledge of quality assurance and compliance processes, demonstrating leadership capabilities and excellent communication skills.

A Data Governance Technical Lead plays a crucial role in risk management at Citi by overseeing the adherence of application design to the firm’s architectural blueprint and compliance standards. This includes assessing risks in business decisions, ensuring that the company’s reputation is safeguarded while driving compliance with applicable laws and regulations, and escalating control issues transparently.

The Data Governance Technical Lead role at Citi requires advanced technical skills, particularly in data analysis using SQL and Python. Additionally, familiarity with technical patterns used for data consumption and processing at scale is vital. A comprehensive understanding of applications programming, system flow, and quality assurance processes is also necessary to successfully fulfill the responsibilities of this position.

The work environment for a Data Governance Technical Lead at Citi in Mississauga is collaborative and fast-paced, focusing on innovation and quality. You will engage with multiple management teams, making it essential to adapt quickly to changing priorities while leveraging your technical expertise to resolve impactful challenges. The hybrid work model allows for flexibility while still fostering teamwork and engagement.

When answering this question, focus on specific projects where you've applied your data governance knowledge, detailing the technologies you used, the challenges faced, and how your solutions impacted the organization. Highlight your role and leadership skills, as well as how you ensure that applications meet compliance and quality standards.

In your response, emphasize the steps you take to identify, analyze, and mitigate risks within application projects. Discuss your use of compliance standards and how you integrate these within the development lifecycle, providing examples from your past work that illustrate your thoroughness and adherence to regulations.

Describe your mentoring style and specific strategies you employ to foster growth and skill development among mid-level developers. You can talk about one-on-one sessions, code reviews, and knowledge-sharing practices that empower your team while illustrating your leadership and communication abilities.

Provide a detailed narrative of a specific situation where you identified and resolved a complex issue. Outline your thought process, the tools you employed, and how you communicated with stakeholders during the process. This showcases your problem-solving skills and analytical thinking.

Discuss the significance of compliance in your work, explaining how you ensure that all application developments adhere to regulatory standards. Provide examples of how you've integrated compliance considerations into project planning and execution.

Share the resources you utilize for staying informed on industry trends, such as attending conferences, participating in forums, or following leading publications. Highlighting your proactive approach to continuous learning demonstrates your commitment to professional development.

Your answer should include specific examples of how you've utilized SQL and Python in previous roles, whether in data analysis, application programming, or system enhancements. Providing metrics of success can effectively demonstrate your proficient use of these tools.

Highlight your familiarity with QA processes by discussing your involvement in developing standards for testing and debugging applications. Mention specific methodologies you’ve used, such as Agile or Waterfall, and the outcomes of your implementation.

Reflect on a project where you played a pivotal role, describing your contributions in terms of leadership, strategy development, and execution. This will allow you to showcase your project management skills and ability to deliver results.

Discuss your time management strategies related to task prioritization, explaining how you assess urgency and importance. Including a specific example from your experience where you effectively balanced conflicting priorities will strengthen your response.