- 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
- 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
- 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
- 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
- Bachelors or Masters in computer science, system analysis, Information Systems or related field or equivalent work experience
- 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
- 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.
- Determine the job or types of jobs you want to do and research their responsibilities and qualifications.
- Think about why you can do the job and make a list of your skills that are relative to the job.
- Identify experiences or accomplishments that show your proficiency in the skills required for the job.
- Summarize your abilities, accomplishments and skills into a brief, concise document.
- Do be brief. Resumes should be 1-2 pages in length.
- Do be upbeat and active in your wording.
- Do emphasize what you have done clearly and concretely.
- Do be neat and well organized.
- Do have others proofread and critique your resume. Spell check. Make it error free.
- Do use high quality, white or light colored 81⁄2 x 11 paper. Use a laser printer if possible.
- Don't be dishonest, always tell the truth about yourself in the most flattering light.
- Don't include salary history or requirements.
- Don't include references.
- Don't include accomplishments that do not support your professional goals.
- Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview?
- Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available?
- Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight.
- Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down.
- Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks.
- Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease.
- Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage.
Data Support Manager - Charlotte, United States - Bank of America
Description
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.
Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world.
We're devoted to being a diverse and inclusive workplace for everyone.We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference.
Join usGlobal 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
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.
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.
YOUR IMPACT
QUALIFICATIONS
QUALIFICATIONS
Bank of America is committed to help employees through the transition period when they're displaced as a result of a workforce reduction, realignment or similar measure.
Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity.Regardless of the position you are interested in, the starting points to building your resume are the same:
Seven steps to a successful interview