Job responsibilities
- Demonstrates strong understanding of data governance, data quality, data lineage and metadata management concepts
- Performs deep business analysis, including root cause investigations on specific high profile data quality issues
- Understands key requirements from the business and organize project activities to optimize these requirements/initiatives
- Displays thought leadership in data management techniques and methodologies
- Communicates and achieve buy-in from stakeholders across the bank including Front Office, Technology, Data Science, Operations, Controls
- Translates large amounts of analysis into high level takeaways for senior management, with the goal to tell a story that will resonate with them
- Achieves senior management buy-in for project activities and next steps
- Discovers and documents data-lineage to trace the end-to-end data journey from point of creation to consumption
- Provides leadership and management oversight to junior team members working on data initiatives
- Leverages productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences
- Creates data profiling and data quality rules leveraging data quality tools like Collibra, Informatica and other emerging tools
Required qualification, capabilities, and skills
- Previous experience in Financial Services
- Background in Ops, Finance or Tech with Project Management/Business Analysis skills
- Experience in Data quality, Data lineage and Metadata management
- Strong Stakeholder & Project Management skills
- Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture
- Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.)
- Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams
- Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard
- Basic understanding of the company's business practices and familiarity with the company's products and services
- Experience in leading and managing a team
Preferred qualification, capabilities, and skills
- Experience in Corporate & Investment Bank and Chief Data Office/Data Quality organization
- Experience in querying database/data stores for data analysis.
- Exposure to tools/technologies such as Alteryx/Tableau/Qlikview/Python/Informatica/Collibra
- Deep understanding of project management lifecycle and Technology software development lifecycle