Principal, Data Governance

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Provide senior leadership for a team responsible for Commercial data governance, while directly leading the most complex and ambiguous data governance challenges, establishing scalable approaches, and raising data-management capability across the broader organization.

GENERAL FUNCTION:

The Principal, Data Governance serves as a senior leader responsible for leading a team and shaping and advancing Commercial data governance, data quality, and data management capabilities across complex business, risk, data, and technology environments. The Principal leads and develops Data Governance professionals, establishes priorities and expectations for the team, provides coaching and technical direction, and remains directly engaged in the organization’s most complex and consequential data-management challenges.

The role provides strategic leadership through influence, deep subject-matter expertise, and cross-functional coordination. It partners with business process owners, technology and data product teams, data consumers, risk partners, and Enterprise Data Governance to improve the quality, reliability, transparency, and effective management of Commercial data.

The Principal operates across the Commercial data ecosystem, helping translate complex business and data challenges into scalable governance approaches, stronger controls, measurable data health, and sustainable solutions. The role is expected to independently lead the most complex or ambiguous data-management efforts, influence senior stakeholders, identify systemic risks and opportunities, and establish approaches that can be reused across Commercial.

The position supports Commercial Data Governance's operating principle that governance provides standards, oversight, orchestration, and accountability while business and technology owners remain responsible for the underlying processes, data, and technology assets.

Essential Duties and Responsibilities

Strategic Data Advisory & Solutioning

· Serve as a senior advisor to business, data, and technology leaders on complex Commercial data-management needs and future-state solutions.

· Evaluate business processes, data flows, architecture, controls, and downstream uses to identify systemic risks and opportunities for improvement.

· Influence solution design so data quality, traceability, control, monitoring, and governance requirements are considered early rather than addressed only after issues emerge.

· Identify opportunities to improve data health, risk management, operational effectiveness, and business value through analytics, automation, and approved AI capabilities.

Governance Policy, Standards & Control Oversight

· Provide subject-matter leadership in the development, interpretation, and operationalization of Commercial data policies, standards, procedures, and governance expectations.

· Establish repeatable approaches for data ownership, lineage, business requirements, data quality, controls, monitoring, and accountability.

· Evaluate significant governance gaps, exceptions, and control weaknesses and develop recommendations for resolution or escalation.

· Partner with Enterprise Data Governance and other control functions to align enterprise requirements with Commercial business needs while preserving clear accountability for Commercial data production and use.

Data Quality, Risk & Ecosystem Oversight

· Lead complex assessments of data quality and data-management risk across business processes, source systems, authoritative data sources, transformations, data products, and downstream consumption.

· Profile and analyze data to identify root causes, patterns, dependencies, and systemic weaknesses rather than relying solely on reported exceptions.

· Develop actionable recommendations that connect data findings to business process, control, technology, reporting, and risk impacts.

· Define and evolve methods for measuring data health, control effectiveness, coverage, and confidence.

· Identify emerging or systemic risks across Commercial domains and translate those risks into prioritized actions.

Complex Issue Leadership & Orchestration

· Independently lead highly complex, cross-functional data issues from initial ambiguity through assessment, recommendation, implementation coordination, and measurable resolution.

· Bring together appropriate business, data, technology, reporting, and risk stakeholders and establish clear decisions, ownership, dependencies, and next actions. OR replace with: Lead cross-functional resolution of complex data challenges by establishing the analytical fact base, framing decision alternatives and recommendations, and driving clarity on decisions, ownership, dependencies, and required actions.

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· Distinguish immediate stabilization needs from systemic root-cause remediation and longer-term capability improvements.

· Provide governance leadership for material, recurring, regulatory, or otherwise high-risk data issues and escalate unresolved risks appropriately.

· Validate that implemented solutions address the underlying risk and establish appropriate ongoing controls or monitoring.

Team, Capability, & Organizational Leadership

· Establish team priorities, allocate work based on business need and risk, and provide direction and oversight to drive high-quality, timely outcomes.

· Design reusable methods, frameworks, standards, templates, and analytical approaches that improve how Commercial manages data across teams and domains.

· Lead, coach, and develop Lead, Senior, and other Data Governance professionals, providing both people leadership and subject-matter guidance while building individual and team capability.

· Raise the analytical and data-management capability of the broader team by modeling strong problem structuring, data investigation, root-cause analysis, stakeholder management, and executive communication.

· Lead or influence major Commercial data initiatives where substantial ambiguity, cross-functional dependencies, or data risk require senior governance expertise.

· Represent Commercial Data Governance in senior cross-functional forums and communicate complex data risks and recommendations in clear business terms.

Minimum Knowledge, Skills and Abilities

· Bachelor's degree or equivalent professional experience.

· Significant experience in data governance, data quality, data management, analytics, risk, controls, technology, commercial banking, or related disciplines.

· Demonstrated ability to lead complex, cross-functional work in environments with substantial ambiguity.

· Strong analytical capability, including the ability to profile data, identify patterns and root causes, evaluate business and technical dependencies, and translate findings into actionable recommendations.

· Strong understanding of data governance concepts including data ownership, business and technical lineage, data quality controls, monitoring, metadata, authoritative sourcing, remediation, and data-risk management.

· Demonstrated ability to influence senior business, risk, data, and technology stakeholders without direct authority.

· Ability to communicate complex technical and data-management concepts clearly in business terms.

· Strong judgment and ability to balance risk, control effectiveness, business value, implementation feasibility, and strategic direction.

· Demonstrated ability to create scalable frameworks and operating practices rather than relying on case-by-case execution.

· Demonstrated ability to lead, coach, and develop high-performing teams while building subject-matter expertise, judgment, accountability, and independent problem-solving capability.

Supervisory Responsibilities

Responsible for leading and managing a team of Data Governance professionals. Provides ongoing direction, coaching, developm