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Great Gray Trust Company

Manager – Platform Data Operations

Great Gray Trust Company

. Own end-to-end, day-to-day data operations for the RPAG platform, ensuring customer data is accurate, complete, and refreshed on schedule .

Posted 10/23/2026full-timeLas Vegas • Nevada • United StatesSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data operations and management, with a strong focus on automation, data quality, and compliance. Proven ability to lead teams, define processes, and communicate effectively across technical and non-technical stakeholders.

Highest-signal resume keywords
Data Operations ManagementSQL ProficiencyTeam LeadershipAutomation and ETL ToolsData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ManagementData IntegrityProcess DocumentationKPI DefinitionFile Transfer ProtocolsData IntegrationData IngestionScriptingAdvanced ExcelPerformance Management
Soft Skills
Excellent CommunicationProblem-SolvingCoachingChange ManagementCross-Functional Collaboration
Tools & Technologies
SQLPythonPower QuerySSISPAL Management DashboardFeed Management ToolsRecordkeeping SystemsAPI-Based Data Exchange
Industry Keywords
Financial Services OperationsRetirement Plan DataInstitutional Financial OperationsHigh-Growth EnvironmentPrivate Equity-Backed

Tech Stack

Tools & technologies
ETLPythonSQLSSIS

About the role

Key responsibilities & impact
  • Own end-to-end, day-to-day data operations for the RPAG platform, ensuring customer data is accurate, complete, and refreshed on schedule
  • Oversee preparation, formatting, validation, and loading of Plan Asset Link (PAL) and other inbound partner files
  • Define and track service levels and data quality metrics, and report on performance
  • Oversee data operations tickets from customers and data providers; identify root causes, trends, and preventative measures
  • Establish documented procedures, controls, and audit trails for recurring data processes
  • Assess workflows, quantify manual effort and risk, and build a roadmap for automation and process improvement
  • Partner with Product, Engineering, and cross-functional teams to automate ingestion, validation, mapping, exception handling, and new data integrations
  • Apply SQL, scripting, and ETL tools to shift work from manual execution to exception-based review and analysis
  • Measure and communicate improvement impacts, including hours saved, error reduction, and turnaround time
  • Serve as operational voice of change for PAL Management Dashboard and Feed Management tools; document business rules
  • Lead, coach, and hold accountable a team of data operations specialists
  • Lead training, knowledge transfer, cross-training, documentation, and adoption of exception-based review
  • Support retirement of the legacy PAL schema and migration to the new architecture
  • Coordinate secure file transfers with recordkeepers and implement protocol updates
  • Engage institutional advisors, broker-dealers, and RIAs to ensure accurate capture of their book of business
  • Serve as subject matter expert and escalation point for team members and advisor service associates
  • Communicate with institutional clients to resolve inquiries and issues
  • Ensure data handling and file transfers comply with information security and compliance standards

Requirements

What you’ll need
  • Bachelor’s degree in Business, Finance, Information Systems, Data/Computer Science, or a related field (or equivalent experience)
  • 7+ years of experience in data operations, data management, or financial services operations, including 3+ years leading teams
  • Demonstrated track record of replacing manual processes with automated or streamlined workflows, with measurable results
  • Hands-on proficiency with SQL and advanced Excel
  • Working knowledge of scripting or automation/ETL tools (e.g., Python, Power Query, SSIS, or similar)
  • Strong understanding of data integrity, data quality, file transfer protocols (e.g., SFTP), and system compatibility concepts
  • Experience in coaching, performance management, and development, including assessing talent and making difficult staffing decisions
  • Ability to define and document processes, controls, and KPIs, and to transfer knowledge effectively through training
  • Excellent communication and problem-solving skills, with the ability to work with technical and non-technical audiences, clients, and cross-functional partners
  • Comfort leading change and building structure in a fast-paced environment with multiple priorities
  • Familiarity with retirement plan data, recordkeeping systems, or institutional financial operations preferred
  • Experience with data integration and ingestion platforms or API-based data exchange preferred
  • Experience in a private equity-backed or high-growth environment preferred
  • Experience managing data operations across multiple applications or business lines preferred
  • Must be authorized to work directly for any employer in the United States without visa sponsorship or transfer

Benefits

Comp & perks
  • Competitive compensation package
  • Group medical, dental and vision insurance
  • Employer-paid life and disability insurance
  • Annual well-being stipend
  • Eligible employees may contribute to a 401(k) plan with an advantageous employer contribution model