ROLE
– Oversee team expansion within tight timelines
– Come up with standardized & measurable delivery frameworks
– Deliver on the business priorities for the year
– Bring agility, consistency, speed of deployment, innovation and a governance process through centralized and extensive analytics driven framework
– Work closely with Business Stakeholders to set the priorities for the team
– Convert those goals into actionable with a clearly defined delivery plan and outcomes
– Ensure all processes follow a standard technology-approved SDLC complaint methodology through the adoption of tools like JIRA and BitBucket
– Expand scope of Data Quality as a discipline
– Partner with other AIM teams to expand scope of CDE measurement and increase usage of data quality certified CDE in critical processes
– Partner with Technology in evaluating Enterprise tools and building AI solutions
– Ensure adherence to strict Project Management discipline through periodic reviews
– Analyze and understand the Data Strategy
– Drive project reviews to ensure alignment with the Data Strategy
– Ensure compliance with Citi Data Governance Policy
– Drive acceptance of data standards and policies in each assigned product and region
– Define policies, procedures, and processes for cleaning, mastering, governing, and documenting data for the assigned product in a region
– Implement controls, identify Trusted Sources, provide monitoring and build/review scorecards
– Profile the data and define appropriate data quality rules especially for critical attributes to ensure reliable data
– Accountable to ensure that all data quality issues are addressed reliably and in a timely fashion as per Citi’s processes
– Participate in root cause analysis, coordinate with stakeholders, facilitate communication across Business, Operations and Technology and assume responsibility for end to end resolution
– Drive the creation of target state process maps
– Identify all reference data and master data used or created within the processes, and confirm corresponding business controls
– Document data/system lineage and data tracing through all “hops” for each business process and coordinate with Technology to create corresponding Lineage toolset
– Manage technical metadata requirements and inputs related to Business CDEs and coordinate Lineage tasks and test activities between Business, Operations and Technology
– Manage all Business Glossaries
– Help identify the need for enterprise-level data standards based on strategic business objectives and the evolution of enterprise-level capabilities and analytical requirements
– Collaborate across the organization to ensure consistent and effective execution of data governance and management principles across GCB analytical systems and data domains
– Drive alignment of Business/Operational Processes with firm wide Risk and Controls initiatives
– Timely resource hiring and onboarding

REQUIREMENTS
– MBA / Masters Degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute
– Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
– 15+ years’ experience in areas of financial services technology, data governance & delivery management
– Experience in Credit Cards/Retail/ Wealth domains
– 8+ years of experience in formal Data Governance within a global company
– Strong data management background who understands data, data architecture, how to ingest data, process data, consume data, data quality, and stewardship
– 8+ years of experience working in data management with Code mining, Data Mining, Visual data Lineage, System to system Lineage as Information Steward
– 3+ years of experience leading/managing a large data team
– Proven expertise in leading AI/automation projects with measurable impact
– Extremely proficient in SQL queries, data analysis and profiling, data quality monitoring rules and data quality issues resolution
– Experience in using a Data Visualization tool like Tableau a strong plus
– Must have excellent analytical and business skills
– Strong knowledge and understanding of master data elements and processes per the necessary in-scope data domains, specifically Finance and Risk
– Demonstrate a high level of motivation, strong work ethic and self-starting attitude with a bias for speed and execution
– Demonstrate ability to lead and multi-task, problem-solve, make decisions and operate in a fast-paced environment
– Must be a collaborative person who listens effectively and invites response and discussion
– Must possess good negotiation skills
– Excellent organization skills and attention to detail
– Must be able to exercise independent thinking and good judgment under all circumstances
– Demonstrate versatility and a willingness to work with constantly changing priorities with enthusiasm