The Business Lead Data Analyst role is responsible for ensuring timely and accurate definition and execution of Enterprise Risk Management (ERM) requirements according to the Citi Data Governance Policy (CDGP) and Standard (CDGS). The role reports into the Enterprise Risk Management Data & Technology ERM Data Governance Lead. This is an opportunity to contribute at of a data program initiative supporting the development and creation of the data management and data governance model within ERM.

The Business Lead Data Analyst responsibilities include, but are not limited, to defining and documenting Enterprise Risk Management data requirements for senior management reporting needs, defining data lineage, identifying gaps in data quality controls to reduce risk, partnering and collaborating with ERM’s data consumers and data providers on data quality remediation challenges; documenting data flows, processes, and procedures as needed; and ensuring data requirements are implemented including key metrics measuring the successful implementation. Focusing on commitments of each phase of the Enterprise Risk Management Data Plans, the Business Lead Data Analyst is instrumental in ensuring the documentation, collection and indexing of artifacts, ensuring various data management program tools are kept up to date, project tracking, and ensuring adherence to Citi policy, standards, and guidelines for regulatory remediation efforts.

The role requires understanding of data management, data governance and data operating models; risk management or enterprise risk management; risk and/or enterprise risk processes, systems and reporting. The role requires a solid conceptual and practical grounding in Enterprise Risk Management. The role requires excellent systems and data analysis skills, in addition to strong presentation / communication skills to negotiate internally regarding conflicting priorities--often at a senior level.

Responsibilities:

• Engage business data owners and technology teams to gather and document data requirements including data lineage, system and data flows and data quality rules for critical Enterprise regulatory and management reports.

• Aggregate, analyze, and document success criteria and metrics to measure progress against Benefits/Outcomes ​as defined by the report owner.

• Manage data quality scorecards and ongoing monitoring controls to identify data quality issues, perform root-cause analysis, identify recommendations for improvement, and remediation prioritization.

• Support data accuracy, timeliness and completeness by aligning work output to key data capabilities and tools including metadata repositories, data dictionaries, business process maps, metrics, controls, and scorecards.

• Partner with data consumers and upstream data providers to agree on the scope of critical data quality challenges and ensure implementation and adherence to Citi’s Data Operating model.

• Identify and document key project risks and manage to resolution or escalate accordingly.

• Support execution of and alignment to Citi’s Data Governance Policy (CDGP) and corresponding Standards.

• Support Data Leads in Milestone and Deliverable execution including gathering, storing, and publishing key project artifacts for closure.

• Manage individual project responsibilities including task and actions management, coordination and execution of plan activities, minutes, and status reporting within required timelines and to stakeholder quality expectations.

• Support standing up governance forums, reporting, and tooling for ERM Data Operating Model implementation.

• Coordinate between Enterprise Data Office (EDO), ERM , Risk Category, Risk Pillar, Finance, Technology, and PMO Teams.

• Provide project status reporting updates in coordination with respective PMO teams, including change controls, risks, issue, and path-to-green submissions.

• Support ERM Data & Tech Team in tracking and remediation of RAID log items.

• Distribute meeting invites as needed based on cadence and audience identified by the ERM Data Use Case (project) leads.

• Provide support documenting meeting minutes and action items in a centralized location.

Qualifications

• 6+ years of relevant experience with business systems and/or data analysis

• 4+ years of experience in banking and financial services industry

• 4+ years experience working in data governance, data management or related roles including support of data policies and standards.

• Proven experience driving data quality initiatives, aligning business processes with data, data standards/policies, and data-related issue management and remediation efforts.

• Experience with implementing data technology solutions and capabilities and/or working on large cross-functional business initiatives.

• Strong understanding of data governance principles, frameworks, and best practices including supporting data quality initiatives, aligning business processes with data, implementing technology data quality solutions, and data-related issue management and remediation efforts, working on large, global cross line of business initiatives.

• Enterprise risk management or risk management category (e.g., Markets, Wholesale, Credit, Operational) experience preferred.

• Experience with data management processes, tools, and applications, including process mapping and lineage toolsets.

• Ability to communicate (both verbal and written) in a clear, confident, and open-minded manner to build trusting partnerships with a wide variety of audiences and stakeholders.

• Proven relationship management skills to partner and influence across organizational lines.

• Ability to quickly grasp and master new concepts / requirements and related product / functional knowledge.

• High-level professional proficiency in both Excel and PowerPoint and Data flowcharts are must- have skills.

• Should be an initiative-taking, highly focused, meticulous collaborator with high energy levels and the desire to learn and progress within the company.

• Proven ability to work with large data volumes and demonstrate a firm understanding of logical data structures and analysis techniques.

• Ability to work independently, multi-task, and take ownership of various parts of a project or initiative.

Education:

• Bachelor’s/University degree or equivalent work experience

• Certification in data governance or related areas (e.g., CDMP, etc.) is a plus