GRM Data Strategy Integration & Coordination Executive
Quick Summary
This job is responsible for maximizing opportunities, and minimizing credit, and operating losses within a large and complex business unit or function.
Bachelor’s degree in computer science / engineering, Data Science or Analytics 15+ years of experience in data management, risk management, analytics, technology,
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
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Drives the development and execution of reporting to allow risk and business partners to effectively enhance revenue goals, processes, efficiencies and technologies while minimizing associated risks
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Oversees data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
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Sets strategic priorities and owns initiatives affecting multiple risk functions and lines of business to ensure company goals are met
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Leads database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
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Owns the overall response to complex ad-hoc requests for information from both internal and external parties
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Leverages knowledge of end-to-end processes, related regulations, and multi system platforms, often involving multiple products/portfolios, to achieve business objectives.
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Monitors the outputs of controls and ensures alerts from the control checks are managed effectively
The GRM Data Strategy Integration & Coordination Executive serves as a strategic advisor and key partner to senior leaders across GRM Risk and Technology, helping translate GRM's data priorities into actionable strategy, execution plans, and measurable outcomes. This role is responsible for driving strategic planning, data management transformation, operating model execution, and enterprise alignment across GRM's data agenda. Working closely with senior leaders across Risk, Technology, Enterprise Data, Front Line Units (FLUs), and Control Functions (CFs), the executive will help shape strategic priorities, coordinate investments, advance data capabilities, and accelerate execution of GRM's strategic data objectives including alignment with Enterprise Data priorities. The role combines data strategy, transformation planning, data architecture assessment, execution oversight, and organizational leadership to advance GRM's data management capabilities, improve transparency, traceability, and sustainability of data assets, and accelerate adoption of strategic data solutions across the Risk organization.
Partner with senior leadership to define, refine, and operationalize GRM's data strategy and strategic priorities.
Drive advancement of GRM's data management capabilities, including data governance, metadata, lineage, data quality, controls, data sourcing, and lifecycle management.
Support development of target-state data architecture, data operating models, and strategic data capabilities aligned with enterprise objectives.
Translate strategic objectives into actionable roadmaps, execution plans, and measurable outcomes.
Support prioritization of initiatives and investments to ensure alignment with business, risk, regulatory, and technology objectives.
Establish alignment across GRM Risk, Technology, Enterprise Data, FLUs, and CFs on strategic data priorities and capabilities.
Partner with stakeholders to advance enterprise data standards, strategic platforms, shared data services, and reusable data management capabilities.
Drive resolution of cross-functional challenges impacting strategic data initiatives, regulatory commitments, and transformation objectives.
Facilitate executive decision-making to accelerate delivery of strategic priorities.
Establish and coordinate data strategy councils, leadership reviews, investment reviews, and planning processes supporting GRM's data agenda.
Lead strategic planning, funding, investment management, and resource prioritization across the portfolio of data initiatives.
Monitor execution against strategic commitments and provide transparency into delivery milestones, dependencies, risks, and outcomes.
Drive adoption of strategic data capabilities, standards, platforms, and operating models across GRM.
Promote effective utilization of enterprise data services, authorized data sources, shared data assets, and strategic tooling to improve consistency, reuse, and scalability.
Partner with business and technology organizations to identify opportunities to simplify, standardize, and modernize data management practices.
Foster a culture of data ownership, accountability, and stewardship across GRM.
Define and oversee metrics that measure advancement of GRM's data strategy, data management maturity, strategic capabilities adoption, and transformation objectives.
Monitor adoption of strategic data capabilities, improvements in data quality, operational efficiencies, and value realization.
Provide executive insights and recommendations to support investment decisions, prioritization, and continuous improvement.
Requirements
~1 min readBachelor’s degree in computer science / engineering, Data Science or Analytics
15+ years of experience in data management, risk management, analytics, technology, or enterprise transformation within a large, regulated financial institution.
Proven ability to influence senior executives and drive alignment across multiple organizations with competing priorities.
Deep expertise in enterprise data strategy, data governance, data quality, metadata management, lineage, controls, and information management.
Experience establishing accountability frameworks and governance structures that improve transparency, traceability, and data health.
Strong understanding of risk management principles and regulatory expectations related to data governance and risk information management.
Experience leading large-scale data strategy and transformation initiatives, projects or projects partnering with regulatory, audit, compliance, and control functions.
Understanding of emerging technologies, data architecture, cloud-based platforms, and enterprise technology strategies.
Experience identifying and delivering material cost efficiencies through standardization, automation, simplification, and technology consolidation.
Experience supporting enterprise risk, regulatory reporting, capital management, or risk data aggregation and reporting initiatives.
Working knowledge of SQL, SAS, data analytics tools, and business intelligence platforms.
Experience leading enterprise-wide data modernization programs supporting large-scale business transformation.
Performance Management
Project Management
Regulatory Relations
Risk Management
Stakeholder Management
Business Acumen
Continuous Improvement
Issue Management
Risk Analytics
Technical Documentation
Adaptability
Attention to Detail
Business Intelligence
Data Visualization
Data and Trend Analysis
Location & Eligibility
Listing Details
- First seen
- October 1, 2026
- Last seen
- October 8, 2026
Posting Health
- Days active
- 7
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- October 8, 2026
Signal breakdown
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