Metadata and Controls Data Support Manager

Found in: Talent US C2 - 2 weeks ago

Jersey City, United States Bank of America Full time

Description

:
Manage a group or process(potentially global). Work with business data users to define the use of data within risk systems. Recommend remediation of control gaps and implements effective risk controls of our data processes and systems. Participate in and lead user acceptance testing of data control processes. Understand existing risk systems, data flows, and infrastructure to identify gaps between business usage of data and current implementations. Recommend alternate data sources and processes to improve the control environment. Lead cross functional strategic efforts to remediate data quality issues. Proactively monitor and remediate incoming data used in risk measurement and reporting. Ensure the completeness, validity, and accuracy of data on a daily basis. Work with other groups as needed, including Middle Office, Sales and Trading, Technology, Compliance, Operational Risk, and Enterprise Capital Management to ensure effective controls over data for GMRM.

Skills:

Critical Thinking Data Governance Negotiation Risk Management Stakeholder Management Attention to Detail Change Management Issue Management Presentation Skills Regulatory Relations Business Acumen Continuous Improvement Controls Management Data Management Performance Management

Minimum Education Requirement:

BACKGROUND

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.

In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a growing Strategic Coordination and Implementation (SCI) team.

Under DSM Executive’s leadership, the SCI team will develop a holistic vision on how best to structure data sourcing and data quality control strategy for GRM so it can unlock business value. This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.

ROLE DESCRIPTION


This role will collaborate with the GRM Data Stewards, Data Users, Data Owners, and Technology Teams to understand and assess their data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements. 

Consult with data stewards, process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data attributes and data sources, control features, interfaces with other systems required Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry standard methods including business process descriptions, use cases, scenarios, diagrams, flow charts, etc. Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract up from low-level information to a general understanding Assess and identify deficiencies against internal policies and standards or industry best practices, providing formal recommendations and requirements to remediate Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions which provide ongoing operational excellence and resiliency to metadata and control environment challenges Review and provide input to technical solution designs from a business point of view and recommend alternatives Communicate plans, progress and risks appropriately to the stakeholders and sponsors

YOUR IMPACT

Serve as subject matter expert – build deep knowledge of data domains, supporting systems, data governance, and financial services risk management concepts Drive quality and consistency – develop standardized templates, tools, design practices to promote high quality deliverables and consistent practices across GRM lines-of-business Drive innovation – solve complex data-related problems for GRM process owners using a variety of technical and analytical skills Own your project – manage and monitor project execution – from requirements to sourcing and evaluating the fit-for-purpose data – working with all the stakeholders across GRM, Business and Technology

SKILLS FOR SUCCESS

Technical Expertise

Demonstrates the application of innovative technical solutions to solving complex data intensive challenges  Has or develops a depth of product understanding, including the ability to conceptualize solutions and employ a structured framework to evaluate features to drive definitive and strategic product decisions Strong understanding of databases, data structures, data modeling and data mapping Understanding of business process modeling, data provisioning modeling, and entity relationship modeling Comfortable with the application of digital technology and inclusion of metadata, lineage, and controls as part of application design

Execution Expertise

Ability to drive execution through disciplined oversight Ability to interpret and evaluate client’s data requirement needs Excellent verbal and written communication skills Resourceful and knows how to cultivate relationships Ability to work with a variety of different stakeholders and cross-functional teams Strong organizational and critical thinking skills Ability to lead and facilitate meetings and groups Skilled in fact-finding and data collection with strong attention to detail and precision Demonstrates an ability to set objectives and organize work appropriately to meet and exceed goals

BASIC QUALIFICATIONS

Bachelors or Masters in computer science, system analysis, Information Systems or related field Strong process/systems analysis, design and documentation Strong analytical, critical thinking, and problem-solving skills Ability to monitor tight deadlines and adapt to unexpected requirement changes Strong written and verbal communication skills and ability to lead discussions with counterparts Self-motivated with an ability to work on one’s own with a strong sense of ownership and accountability in high-pressure situations Strong Understanding of Risk Management and Data Management Principles

PREFERRED QUALIFICATIONS

Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking Understanding or experience of programming in SQL, C/C++, Java Familiarity with databases, such as Oracle, Hadoop, etc.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

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