Data Manager – Counterparty Transformation

Bank of America•Charlotte, NC

1d•$125,000 - $168,500•Onsite

About The Position

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! This job is responsible for driving accurate, complete, and timely delivery of data. Key responsibilities include working with business stakeholders and technology teams to direct data management activities and ensure availability for use by appropriate consumers. Job expectations include managing execution within the enterprise data management standards, data quality, and control practices.

Requirements

6+ years of experience in data management, data quality, or data governance within complex, multi-source data environments
Advanced SQL proficiency with experience working across enterprise-scale databases (e.g., Teradata, Oracle) and analyzing complex data architectures and transformation logic
Demonstrated expertise in root cause analysis across data and business processes, with ability to trace defects to point of origin and drive remediation through influence
Proven ability to decompose and evaluate business processes, identify control gaps, and execute against transformation initiatives to improve process effectiveness
Strong experience designing, implementing, and monitoring operational & data controls to ensure data quality and mitigate operational and regulatory risk
Experience supporting regulatory reporting or operating within highly controlled data environments
Strong data visualization and storytelling capabilities (e.g., Tableau, PowerPoint), with ability to translate complex findings into clear, actionable insights for senior stakeholders

Nice To Haves

Bachelor’s degree in Finance, Data Management, Information Systems, or related field
Experience with counterparty data domains (e.g., legal entities, hierarchies, reference data)
Industry-recognized data management certifications (e.g., CDMP, DCAM, DAMA or equivalent)
Experience supporting data sourcing transformation or target-state data architecture initiatives
Familiarity with capital, liquidity, or other regulatory frameworks
Experience with automation and workflow tools (e.g., SharePoint Online, Power Platform) and exposure to AI-enabled data capabilities

Responsibilities

Works with Line of Business partners, including Compliance, Audit, and Risk to understand needs and produce data solutions, often times in partnership with Technology
Identifies gaps in data management standards adherence and works with appropriate partners to develop plans for resolution, including recommendations so that relevant risk and compliance policies and standards are met
Analyzes emerging needs for data to address risk, regulatory, or business enablement priorities and appropriately plans for interim and target state solutions within data management policies
Monitors key performance indicators and internal controls in accordance with established thresholds, standards, and policies
Execute counterparty data transformation initiatives focused on improving data integrity, including identifying upstream data quality gaps and implementing preventative measures across the data supply chain
Drive acceleration of data defect resolution through deep root cause analysis, tracing issues to point of origin and influencing partners to remediate and prevent recurrence
Support data sourcing transformation, including migration to centralized single sourcing and alignment to authoritative data providers in accordance with enterprise data strategy
Decompose and analyze business processes and data flows to identify control breakdowns and inefficiencies, and embed sustainable improvements through enhanced controls, monitoring, and automation
Develop and deliver clear, actionable insights and thematic analysis to senior stakeholders, enabling fact-based decision making and supporting governance and control forums