Data Governance and Retail Product Solutioning

Citi is looking for a Data Governance and Retail Product Solutioning to play a pivotal role in shaping and implementing the enterprise‑wide data governance strategy across one of the world's leading financial institutions. In this position, you will serve as a subject matter expert and senior contributor within the Enterprise Chief Data Office, driving the adoption of data governance policies, risk frameworks, and compliance standards s is a high‑impact opportunity for a seasoned data governance professional to influence how data is managed, governed, and protected across a global organisation.

• Lead the design and implementation of policy adoption plans, compliance metrics, and training programs in collaboration with cross‑functional partners to embed data governance standards across the organization.
• Drive end‑to‑end business analysis by gathering, reviewing, and documenting business requirements, then aligning them to Data Governance and Data Risk and Controls standards to deliver effective solutions.
• Contribute to the development and maintenance of Data Governance and Data Risk and Controls standards in alignment with the Enterprise Chief Data Office, ensuring all processes are clearly documented and consistently applied.
• Act as a subject matter expert on data policies to support key Data Transformation programs, providing authoritative guidance to project teams across the business.
• Ensure data‑related roles and responsibilities are clearly defined, communicated, and embedded across business units to strengthen accountability and governance maturity.
• Manage the full lifecycle of metrics and reporting, from capturing requirements and building delivery plans through to production and ongoing governance of outputs.
• Monitor delivery milestones, identify and escalate risks to execution, and maintain transparent reporting to keep stakeholders informed and programs on track.

• 10 or more years of experience in Data Governance, Data Management, or Process Engineering within the banking or financial services industry.
• Demonstrated ability to communicate complex data governance concepts clearly across multiple formats and audiences, with a track record of building consensus and influencing at senior levels.
• Strong stakeholder management and negotiation skills, with the ability to engage and align a wide range of stakeholders across different functions and seniority levels.
• Working knowledge of Data Operating Model practices, Data Governance frameworks, and Data Compliance requirements within large financial services organizations.
• Ability to balance strategic thinking with close attention to detail, continuously improving processes while maintaining a clear view of broader organizational objectives.
• Organizational awareness and the ability to navigate complex management structures, identify the right information sources, and interpret them effectively to drive decisions.
• Bachelor's degree or equivalent university qualification.

• Master's degree in a relevant field such as Information Management, Business, Finance, or a related discipline.
• Familiarity with retail lending products, including mortgages, personal loans, or cards, and the data governance considerations specific to these product lines.
• SQL skills and broader technical proficiency that support data analysis, reporting, and the interrogation of large datasets.
• Experience presenting to and influencing senior leadership, with the confidence to constructively challenge decisions at all levels of the organization.
• Analytical mindset with strong problem‑solving capability and a proactive approach to self‑directed learning in a fast‑evolving data landscape.

At Citi, you will work alongside experienced professionals in a performance‑driven environment that values collaboration, accountability, and meaningful impact. As a senior contributor within the Enterprise Chief Data Office, you will have the scope to shape governance at a global scale while continuing to grow your expertise and career.

• A hybrid working model with 3 days in the office and 2 days working remotely,…