VP – Business Lead Data Analyst

VP – Business Lead Data Analyst

Requirements

• 6-8 years of relevant experience as business data analysis, business analysis or systems analysis
• At least 5+ years of experience in banking and financial services industry
• 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 flowcharting are must-have skills
• Proven analytical, interpersonal, and organizational skills
• Demonstrated ability to work on multiple projects in the stream simultaneously
• Comfortable working with large data volumes and be able to 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

Responsibilities

• Gathering and documenting business requirements
• Developing individual project artifacts as necessary including Business Requirements Documentation (BRD’s), Functional Requirements Documentation (FRD’s), test planning and scenario documents for user acceptance testing (UAT), project plans as required for all key technical deliveries
• Day-to-day management of individual project responsibilities including milestone setting, task and actions management, co-ordination, and execution of plan within required timelines and to stakeholder quality expectations
• Providing implementation / post-implementation project support
• Foster and maintain relationships with business stakeholders, support, testing and development team members
• Identify key project risks, whether stated or not, and manage to resolution or escalate accordingly
• Has the ability to operate with a limited level of direct supervision
• Can exercise independence of judgement and autonomy
• Acts as SME to senior stakeholders and /or other team members
• Support and drive execution of critical aspects of data governance policy and data strategy
• Partner with business data owners required to document Enterprise Risk Management key data, data processes, and data flows for critical reports that articulate Citi’s Enterprise-wide risk profile
• Understand and document current data processes and business requirements to help determine new and innovative ways to provide end-to-end solutions
• Create data linage and system flow documentation and process maps
• Support the consolidation of disparate information about Risk and Finance data
• Partner with data consumers to agree on the scope of critical data quality challenges and ensure implementation and adherence to Citi’s Data Operating model
• Partner with other colleagues within Citi businesses and various technology teams to build the knowledge and assess the current state of the businesses’ information infrastructure
• Determine strategies to improve data quality controls and monitoring routines to de-risk points of data quality vulnerabilities using CDO (Citi Data Office) approved tools and solutions
• Adhere to and facilitate meeting Change Management processes involved in Citi’s ERM Data Governance initiative
• Prepare PowerPoint presentations and present status updates and solutions to stakeholders, business partners, and technology teams in a succinct manner to drive decisions and actions
• Lead meetings and working sessions to solve issues, challenges, and risks by factoring input from partners and diverse points of view

Preferred Qualifications

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