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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 .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesETLPythonSQLSSIS
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