Director; Data Support Manager Job Jersey City area,New Jersey USA,IT/Tech

Bank Of America Job Opportunity

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth.

We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences.

These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact.

Join us!

Responsibilities

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 processes, data attributes and data sources, control features, and 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, flowcharts, and more.

Analyze information gathered from multiple sources, reconcile conflicts, segment high-level information into details, and abstract from low-level information to a general understanding.

Assess and identify deficiencies against internal policies and standards or industry best practices and provide formal recommendations and requirements to remediate.

Collaborate and partner with technology teams, architects, and other key stakeholders to drive solutions that 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 stakeholders and sponsors.

Assess data, processes, and technology to support strategic data initiatives, remediate deficiencies, and drive business requirements.

Serve as a subject matter expert in building deep knowledge of data domains, supporting systems, data governance, and financial services risk management concepts.

Drive quality and consistency by developing standardized templates, tools, and design practices to promote high-quality deliverables and consistent practices across GRM lines of business.

Conceptualize solutions and employ a structured framework to evaluate features to drive definitive and strategic product decisions.

Required Skills & Experience

Master's degree or equivalent in Computer Science, Computer Information Systems, Management Information Systems, Engineering (any), or related: and
3 years of experience in the job offered or a related IT occupation.
Must include 3 years of experience in each of the following:
Conducting data profiling analysis, identifying opportunities for improvements and re-engineering data flows;
Specifying requirements for data quality controls to improve the accuracy, timeliness and completeness of data;
Programming in SQL and Python to load data, perform data analysis and execute data quality rules, using tools including Toad, Collibra DQ, Trino and PyCharm;
Designing and implementing data quality controls in Collibra DQ; and,
Designing ETL processes to extract data from diverse platforms including Oracle, Hadoop, Spark, and Trino.

If interested, apply online at or email your resume to and reference the job title of the role and requisition number.