Principal, Data Governance

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.

• 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.

• 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.

• 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…