Senior Consultant – Enterprise Data Management

Domain: Fintech
Career Path: RTech, DataBridge, AgileData, Connect
Type: Full Time preferred

Seniority: Mid senior level
Location: New York City

Skills

Significant experience and track record of delivery of major Data Management initiatives at large and complex financial institutions

Education

Bachelor or Master’s degree in Business, Technology or Finance

Experience

Strong capital markets experience and deep understanding of front to back processes

Strong experience in regulatory projects is preferred

Strong verbal and written communication skills including technical writing skills

Excellent knowledge of MS Office Suite (PPT, Excel, Project, SharePoint)

Previous experience in Regulatory Reporting / Risk / Finance / Data Analytics / Operations / Controls / Systems Analysis / Quality Assurance

Proven experience in eliciting requirements and generating process documentation

Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools

Description

We are looking for an enthusiastic Senior Data Governance/Management Consultant to join our Financial Services consulting team working on mission critical Enterprise Data Management programs at one of our multinational investment banking clients. As a Consultant, you will work on-site at our client as part of a cohesive consulting team and have interactions with senior stakeholders in addition to opportunities to own deliverables.

The Enterprise Data Management group is responsible for effective and consistent Data Management of the bank’s data which is deemed critical.

Essential Duties & Responsibilities

In order to improve the overall quality of the data across the firm, identify Critical Data Elements (CDEs) that are critical to business processes, regulatory reports as well as risk calculation

Data Lineage – Document business process, controls and technical data flows for in-scope reports / CDEs

Governance – Drive the creation and adoption of enterprise data governance policies and standards

Chairing data quality working groups and manage DQ project to measure, monitor and remediate data quality for each identified CDE. The goal is to automate DQ to stop data problems before they affect risk and reg reporting instead of reacting after the problems happen

Implement DQ Framework, DQ Indicators and assurance standards for issue identification, prioritization and remediation

Data Quality Profiling – Lead data quality workshops to recommend and capture business rules for the identified CDEs

Data Quality Monitoring – Track and monitor the data quality issues that are discovered and provide status to senior management

Data Quality Issue Remediation – Work with downstream business end-users in order to provide tactical data quality remediation; work with upstream source systems’ Operations and IT in order to provide strategic data quality remediation work effort analysis, monitor progress and report status to senior management

Business Glossary – Map CDE ownership across the firm and implement an enterprise-wide solution

Data Catalog – Work across the firm to build and implement an enterprise-wide solution to collect metadata, combined with data management and search tools

Tooling – Configuration in Data Governance tool and other supporting tools to stand up standardized solutions

Integrate approaches and standards into BAU for the firm

Senior Consultant – Enterprise Data Management

Submit CV now.

Arrayo is an Equal Employment Opportunity employer and as such does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.