Finance Data Strategy (Finance CDO team) is responsible to establish thedata governance framework across Finance.The team partners with the Enterprise Data Strategy and Technologygroups to execute requirements defined in firmwide data capabilities, and drivematurity of these capabilities. We support data consumers to drive data qualityacross Finance functions, including accounting, regulatory and financialreporting, CFO teams and corporate treasury. We aim to provide transparency ofour data asset and actively manage the asset to contribute to the fulfilment ofregulatory requirements and creation of operational efficiency. The CDO function plays a critical role in thetransformation of the organization by connecting data, technology, processesand controls.

Description

This role requires technical, business, andanalytical skills to support the Data Governance team and Data Pillar in theFinance Digital Transformation:

• Clearly define datarequirements in the business context.This includes data sourcing requirements and data quality business rules.

• Collaborate with domainSMEs (Data Champions) to understand data consumptions and data usability

• Construct process anddata workflow charts and diagrams; studying system capabilities; writing businessrequirements

• Organize and host crossfunctional working groups; point of contact for critical data remediationprojects

• Define projectrequirements by identifying project milestones, phases, and elements

• Perform root causeanalysis for data quality errors, research and determine scope and complexityof issues and identify the steps for remediation

• Understand andcommunicate the financial and operational impact of any changes

• Coordinate remediationwith relevant teams (Sources, Technology, Business, Finance, etc.)

• Customize and enhancedata quality dashboard based on stakeholder requests

• Perform daily, weeklyand monthly reviews and analyses of current processes using operational metricsand reports

• Create informative,actionable and repeatable reporting that highlights relevant business trendsand opportunities for improvement

• Measuring and reportingto management on the progress of data quality improvement

• Conduct insightful, adhoc analyses to investigate ongoing or one-time data issues

• Identify areas of business processimprovement and make recommendations for long-term solutions

The staff member will be expected to cultivaterelationships with staff or contractors in: Technology, Data Strategy, DataOperations, Finance and Corporate Treasury to ensure efficient identification,collection, and use of data along with the management of the associated datagovernance processes.

Qualifications

Bachelors degree or the equivalent combinationof education and experience is required.

Degree in math, engineering, statistics,computational finance or economics preferred.

Work toward or completion of MBA, CFA, or CPA/CApreferred.

7-10 years of total work experiencepreferred.

Experience with finance data set and process:Balance Sheet, P&L, Consolidations, Client Product Profitability, liquidityanalytics and reporting, interest rate risk management, asset-liabilitymanagement, regulatory reporting, is strongly preferred.

Knowledge of the structuring of dataenvironments and applications that use big data processes is a preferred.

Some experience with Business Intelligence datamanagement and visualization applications specific to Hadoop big data and theability to use SQL/Hive and other computer languages used in big data foranalysis and structuring is preferred.

Competency with data governance tools (Collibra,IDQ)

Competency with some leading data profilingtools (such as SQL, BI tools, etc.)

Experience with issue management systems

Experience with Python, Alteryx preferred

Strong organization, communication, andpresentation skills

Program management skill preferred

Familiar with logical data model

Experience with reference data and master datapreferred