Manager - Data Management

The Vanguard Group•Scottsdale, PA

2d•Hybrid

About The Position

This role creates and implements data management strategy and goals aligned with department and enterprise strategy. It oversees a team of Data Management specialists and managers and partners extensively with other business areas. The role provides enterprise-wide oversight of static and dynamic data, ensuring data integrity, vendor coordination, and centralized processing in support of strategic objectives. The Manager leads, develops, and manages analysts responsible for the health, quality, and operational oversight of domain-based data products. The role establishes responsibilities, performance expectations, and development plans in accordance with applicable Human Resources policies and procedures. It owns the operating model for analysts across assigned domains, including issue intake and triage, ownership assignment, escalation, remediation tracking, change coordination, and ongoing health monitoring. The role defines and implements data quality frameworks, standards, controls, and scorecards. It ensures critical data elements have documented rules, thresholds, monitoring, exception management, root-cause analysis, and sustainable remediation processes. It leads master data management for core domain entities, including data definition, match and merge, survivorship, hierarchy management, reference data, golden-record management, and lifecycle governance. It establishes and monitors operational service levels and key health indicators, and directs investigation and resolution of complex data incidents and recurring quality issues. As a subject matter expert in data quality, master data management, metadata, lineage, controls, and data governance, the Manager applies these disciplines to improve the trustworthiness and usability of sales, marketing, and CRM data products. The role leads major data management initiatives; oversees scope, delivery commitments, risks, dependencies, budget considerations, controls, and regulatory requirements; and makes decisions on complex data and workflow matters. It partners with product, business, technology, and governance stakeholders to define accountability, prioritize improvements, and embed data quality and MDM requirements throughout the data product lifecycle. The Manager develops operational reporting and management insights on data product health, control effectiveness, analyst performance, and business impact. The role uses trends and analysis to identify risks, improve processes, and guide investment decisions. It advances analyst capabilities through standards, training, tools, automation, and communities of practice, while tracking industry trends and evolving enterprise requirements. The role also participates in special projects and performs other duties as assigned.

Requirements

Minimum 8 years of related work experience in data management or a team leadership role.
Bachelor’s degree (B.E./B.Tech) in a relevant field such as Computer Science, IT, or Software Engineering, or a Master’s degree/Diploma in Computer Science.
Proven ability to lead and manage teams, handle complex data workflows, and oversee vendor relationships.
Strong background in operational metrics, data governance, and process improvement.
Expertise in managing static and dynamic data types, working with third-party vendors, and performing data control and audit tasks.

Nice To Haves

Graduate degree preferred.

Responsibilities

Create and implement data management strategy and goals aligned with department and enterprise strategy.
Oversee a team of Data Management specialists and managers and partner with other business areas.
Provide enterprise-wide oversight of static and dynamic data, data integrity, vendor coordination, and centralized processing.
Lead, develop, and manage analysts accountable for the health, quality, and operational oversight of domain-based data products.
Establish roles, performance expectations, and development plans in accordance with applicable Human Resources policies and procedures.
Own the operating model for analysts across assigned domains, including issue intake and triage, ownership assignment, escalation, remediation tracking, change coordination, and health monitoring.
Define and implement data quality frameworks, standards, controls, and scorecards.
Ensure critical data elements have documented rules, thresholds, monitoring, exception management, root-cause analysis, and sustainable remediation processes.
Lead master data management practices for core domain entities, including data definition, match and merge, survivorship, hierarchy management, reference data, golden-record management, and lifecycle governance.
Establish and monitor service levels and key health indicators for domain data products, including freshness, completeness, accuracy, timeliness, availability, incident trends, and remediation performance.
Direct investigation and resolution of complex data incidents and recurring quality issues; coordinate partners to address root causes and prevent recurrence.
Serve as a subject matter expert in data quality, master data management, metadata, lineage, controls, and data governance, applying these disciplines to sales, marketing, and CRM data products.
Lead major data management initiatives and oversee scope, delivery commitments, risks, dependencies, budget considerations, controls, and regulatory requirements.
Partner with data product managers, business owners, technology teams, and governance stakeholders to define accountability, prioritize improvements, and embed data quality and MDM requirements throughout the data product lifecycle.
Develop operational reporting and management insights on data product health, control effectiveness, analyst performance, and business impact.
Use trends and analysis to identify risks, improve processes, and guide investment decisions.
Advance data quality analyst capabilities through standards, training, tools, automation, and communities of practice; track industry trends and evolving enterprise requirements.
Participate in special projects and perform other duties as assigned.