Lead Data Management Analyst

Lead Data Management Analyst

The Enterprise Data Governance & Management team sits within the Chief Data & Artificial Intelligence (AI) Office and is responsible for defining the data governance vision, driving capability development and scaling adoption for the enterprise. With the mission to deliver trusted data to every decision, interaction, and process across the Enterprise, the department collaborates with business and technology leaders to drive consistency of data management practices, ensure data content is fit for use, resolve quality issues, and provide input into risk and business control functions.

The Lead Data Management Analyst manages large projects and processes relating to the assessment, improvement and governance of quality and ongoing fitness-for-purpose of data, ensuring adequate data quality is maintained so that data can effectively support business processes. As a subject matter expert in data quality and governance, this job directs the design and implementation of master data management solutions in order to maintain a common, firm-wide data standard. This job coaches, reviews and delegates work to lower level team members and influences the team to implement new processes and methodologies as needed.

Key Responsibilities and Duties

• Leads the implementation of tools and processes to maintain firm-wide data standards.
• Strengthens the organization's data governance capabilities to ensure that high data quality exists throughout the complete lifecycle of the data and that data controls are implemented to support business objectives.
• Ensures business process, system support and data quality governance for master data through data coordination and integration to ensure efficient processes and consistent data flows to business and stakeholders.
• Oversees the development of reports and dashboards to identify key business metrics, trends and analytical needs, and optimizes dashboard reporting for operations and management to enable data driven decision making.
• Monitors data quality metrics, executes data quality audits and advises on process improvements in relation to master data processes.
• Evaluates master data management metrics and provides recommendations regarding opportunities for strengthening data integrity, quality and availability across the enterprise.
• Reviews and contributes to reports for management to quantify and articulate the business impact of data quality issues.

Educational Requirements

• Bachelor's Degree Required

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
8IC

Minimum Requirements:

• 3+ years experience in Data Governance and/or Data Quality Management execution and adoption
• Experience with AGILE Delivery Framework and related tools (example, JIRA)
• Experience working with teams dispersed in multiple locations (different states, time zones, countries, etc.)

Preferred Qualifications:

• Knowledge of and experience with Collibra or other Data Governance tools.
• Experience with Product Ownership and/or Product Management.
• Knowledge of and experience with Data Modeling and Data Modeling Tools (ex Hackalade).
• Experience working with and in a Technical Delivery team especially on data related projects or products.

Related Skills

Business Analysis, Business Process Understanding, Change Management, Collaboration, Commercial Acumen, Communication, Continuous Improvement Mindset, Data Analysis, Data-Driven Business Intelligence, Data Management, Data Visualization, Executive Presence, Influence, Story Telling, Waterfall Project Management

Anticipated Posting End Date:

2024-10-08

Base Pay Range: $97,500/yr. - $149,200/yr.

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans). 

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Company Overview

TIAA is the leading provider of financial services in the academic, research, medical, cultural and government fields. We offer a wide range of