GRM Data Strategy Integration & Coordination Executive

Bank of America

Charlotte (NC)

On-site

USD 180,000 - 240,000

Full time

5 days ago

Be an early applicant

Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Bank of America is seeking a GRM Data Strategy Integration & Coordination Executive to drive data strategy, operating models, and enterprise alignment across risk and technology. You will partner with senior leaders to translate priorities into actionable roadmaps and measurable outcomes, enabling sustainable data capabilities and regulatory defensibility.

The role demands 15+ years in data management, risk analytics, and enterprise transformation within a regulated financial institution, with

Qualifications

Bachelor’s degree in computer science, engineering, data science or analytics.
15+ years of experience in data management, risk analytics, or enterprise transformation within a regulated financial institution.
Proven ability to influence senior executives and drive alignment across organizations.
Strong knowledge of data governance, data quality, metadata, lineage, and controls.
Experience with SQL, SAS and BI/data analytics tools; comfort with cloud platforms.

Responsibilities

Translate GRM data priorities into actionable strategy and measurable outcomes.
Lead data strategy, operating model, and governance across risk and technology.
Coordinate investments and roadmap across GRM's data initiatives.
Ensure transparency, traceability, and sustainability of data assets.
Partner with Enterprise Data, FLUs, and CFs to accelerate execution.
Define metrics, monitor progress, and communicate value realization.
Advise senior leaders on risk data aggregation and regulatory reporting.

Skills

Stakeholder Management

Regulatory Relations

Risk Analytics

Leadership

Project Management

Business Acumen

Attention to Detail

Data Visualization

Communication

Education

Bachelor’s degree in computer science / engineering, Data Science or Analytics

Tools

SQL

SAS

Business Intelligence Platforms

Data Analytics Tools

Job description

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 maximizing opportunities, and minimizing credit, and operating losses within a large and complex business unit or function. Key responsibilities include driving the development and translation of complex data sets to produce information for internal and external reporting needs. Job expectations include effectively leading information and insights which have significant regulatory impact, financial accountability, and direct impact to business policies and goals in an effective manner.

Responsibilities

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
Oversees data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies
Sets strategic priorities and owns initiatives affecting multiple risk functions and lines of business to ensure company goals are met
Leads database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data
Owns the overall response to complex ad‑hoc requests for information from both internal and external parties
Leverages knowledge of end‑to‑end processes, related regulations, and multi system platforms, often involving multiple products/portfolios, to achieve business objectives.
Monitors the outputs of controls and ensures alerts from the control checks are managed effectively

Managerial Responsibilities

Opportunity & Inclusion Champion: Breaks down barriers to create a more inclusive environment that supports company Great Place to Work goals.
Manager of Process & Data: Challenges end‑to‑end process efficiency and effectiveness, champion data driven decision‑making and removes obstacles to optimize operations.
Enterprise Advocate & Communicator: Contributes to enterprise strategy and influence messaging to connect team contributions to business purpose, results, and success.
Risk Manager: Inspects and challenges risk controls, governance and culture to ensure the timely identification, escalation, debate and remediation of risk across the organization.
People Manager & Coach: Coaches to sustain and elevates organizational performance while differentiating to ensure pay for performance.
Financial Steward: Efficiently allocates and manages resources across the organization to drive short and long term profitability.
Enterprise Talent Leader: Inspects and manages the health of the bench to ensure succession for the organization, while supporting enterprise talent needs.
Driver of Business Outcomes: Mobilizes organizational resources to deliver the full range of the bank’s capabilities to meet client needs and to gain competitive advantage.

Global Risk Management (GRM) leads bank‑wide initiatives for the management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model, and reputational risk, helping support sustainable and responsible growth across the enterprise. As data continues to become a strategic asset and a critical component of regulatory and risk management outcomes, GRM has established the Data Strategy & Management (DSM) function to drive the transparency, quality, accessibility, sustainability, and effective use of risk data across the organization. Working in close partnership with Enterprise Data, Technology, Front Line Units (FLUs), and Control Functions (CFs), DSM is responsible for advancing GRM's data strategy, enabling sustainable data capabilities, and accelerating adoption of enterprise solutions that improve risk management, operational efficiency, and regulatory defensibility.

Position Summary

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.

Strategy Development & Operationalization

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.

Data Strategy Leadership & Enterprise Alignment

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.

Data Strategy Planning & Operating Routines

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.

Data Capability Adoption & Enablement

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.

Metrics, Reporting & Value Realization

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.

Required Qualifications

Bachelor’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.

Preferred Qualifications

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.

Skills