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Bank of America

Runs a US consumer bank, brokerage and investment bank

GRM Data Strategy Integration & Coordination Executive

Data ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 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.

Responsibilities

  • 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, Front Line Units, and Control Functions 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.
  • Drive the development and execution of reporting that enables risk and business partners to enhance revenue goals, processes, efficiencies, and technologies while minimizing associated risks.
  • Oversee data design, portfolio trends, loss trends, and portfolio dynamics to ensure alignment with business strategies.
  • Set strategic priorities and own initiatives affecting multiple risk functions and lines of business to ensure company goals are met.
  • Lead database production processes and performance reports for senior management, using data mining and other advanced analytical techniques to aggregate data.
  • Own the overall response to complex ad hoc requests for information from internal and external parties.
  • Leverage knowledge of end-to-end processes, related regulations, and multi-system platforms, often involving multiple products or portfolios, to achieve business objectives.
  • Monitor control outputs and ensure alerts from control checks are managed effectively.
  • Coach to sustain and elevate organizational performance while differentiating to ensure pay for performance.
  • Manage organizational resources and talent health to support succession and enterprise talent needs.

Desired 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.

About the Company

Bank of America

Runs a US consumer bank, brokerage and investment bank

Bank of America runs one of the largest US banks, serving consumers, small businesses, wealthy families, corporations and institutional investors. Alongside checking accounts, credit cards, mortgages and business loans, it owns the Merrill brokerage, a private bank for wealthy clients and a global investment bank that advises on deals and trades stocks and bonds. Customers reach it through thousands of branches and ATMs and its mobile banking app. It earns money mainly from the gap between what it charges on loans and pays on deposits, plus fees from advice, asset management, deal work and trading. It grew from a San Francisco bank founded in 1904 and is headquartered in Charlotte, North Carolina.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
1904

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