Senior manager leading TD’s enterprise ServiceNow data quality governance. Owning controls, remediation, certification, reporting, and teams for trusted financial technology systems.
Responsibilities
Own and lead Data Content Manager as an enterprise capability across in-scope ServiceNow modules
Establish and operate governance, controls, processes, and the team required to continuously measure and improve data quality
Own the Data Content Manager strategy, operating model, roadmap, and ongoing operation
Define and maintain the enterprise data quality rulebook and Data Content Manager blueprint inventory
Translate business rules, control requirements, data definitions, and regulatory expectations into automated validations
Operate deviation-management lifecycle, including scans, task generation, assignment, validation, closure, escalation, and reporting
Lead field-level and group certification campaigns across ServiceNow modules
Establish and execute first-line data quality assurance and control-testing programs
Perform root-cause analysis of recurring or material data defects and track remediation commitments
Support regulatory examinations, internal audits, risk assessments, and issue-remediation programs with traceable evidence
Own data quality measurement frameworks, KPIs, dashboards, scorecards, and executive reporting
Identify material trends and emerging risks and recommend corrective actions
Partner with platform teams, module owners, data owners, technology leaders, architecture, infrastructure, security, risk, and audit
Establish decision rights and accountability across data consumers, owners, and providers
Build, lead, and develop a team responsible for blueprint engineering, data quality operations, certification, reporting, control testing, and stakeholder support
Manage vendor or consulting resources where specialized expertise is required
Requirements
Ten or more years of progressive experience in data quality management, data governance, technology asset management, configuration management, technology risk, or a related discipline
Five or more years of experience leading teams or enterprise-scale programs in a large, complex organization
Demonstrated ownership of a data quality, governance, configuration management, or ServiceNow platform capability
Strong working knowledge of ServiceNow, including CMDB, APM, HAM, SAM, Technology Reference Model, or related modules
Experience designing automated data quality rules, validation controls, remediation workflows, certification processes, and executive reporting
Strong understanding of data quality dimensions including completeness, accuracy, validity, consistency, timeliness, uniqueness, ownership, and relationship integrity
Experience establishing data ownership, stewardship, accountability, service levels, and escalation mechanisms across federated organizations
Demonstrated control-testing capability, including test design, population or sample selection, evidence collection, issue identification, and defensible reporting
Experience supporting internal audit, regulatory, compliance, or risk-management requirements in a regulated environment
Strong analytical and problem-solving skills
Strong executive communication skills and ability to translate technical data quality results into business and operational risk
Proven ability to influence senior stakeholders and drive remediation across multiple teams
Experience leading change, developing teams, and establishing new enterprise capabilities or operating models
Preferred: financial services experience
Preferred: ServiceNow certifications relevant to platform administration, CMDB, APM, HAM, or SAM
Familiarity with the Common Service Data Model and ServiceNow relationship and dependency structures
Experience with data profiling, querying, health dashboards, automated testing, or analytics tools
Familiarity with technology asset lifecycle management, operational resilience, and regulatory expectations for trusted systems of record
ITIL, COBIT, data governance, risk, audit, or related professional certification
Benefits
Base salary and variable compensation
Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs
Regular development conversations, training programs, and performance conversations
Online learning platform
Mentoring programs
Training and onboarding sessions
Accessibility accommodations, including accessible meeting rooms and captioning for virtual interviews
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