Lead Systems Analyst

Wellington Management

. Lead the technical analysis, design, and delivery of Prism data domains and platform capabilities from requirements through production support .

Posted 11/6/2026full-timeBoston • Massachusetts • United StatesSenior💰 $90,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading technical analysis, design, and delivery of data platforms, with strong capabilities in SQL, Python, and cloud technologies. Proven ability to mentor teams, manage production support, and drive automation initiatives in a fast-paced environment.

Highest-signal resume keywords

SQL ExpertisePython ProgrammingInvestment Management KnowledgeCloud Technologies FamiliarityTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonGraphQLREST APIData AnalysisRelational DatabasesNon-Relational Data TechnologiesData Processing PipelinesPerformance TuningMetadata Management

Soft Skills

Excellent CommunicationMentoringIndependent WorkTeam CollaborationProblem Solving

Tools & Technologies

AWS S3AthenaCloudWatchSnowflakeMicrosoft FabricTableauGitSource TreeCI/CD PipelinesAI Coding Assistants

Industry Keywords

Asset ManagementFinancial ServicesInvestment AnalyticsData FederationCloud MigrationDisaster RecoveryMessaging SystemsBatch SchedulingData IntegrationProduction Support

Tech Stack

Tools & technologies

AWSCloudGraphQLPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Lead the technical analysis, design, and delivery of Prism data domains and platform capabilities from requirements through production support
Own and drive the quarterly Prism platform roadmap across multiple business and technology partners
Define data requirements and guide enhancements to persistence/caching, notification and messaging, and metadata deployment and publishing components
Partner with data producers, consumers, business stakeholders, and application teams to onboard datasets and design logical data entities, keys, and relationships
Assess downstream impacts of source-system changes and guide analysts through complex requirements
Partner with Platform/Infrastructure engineering on deployment strategy, disaster recovery planning, and cloud migration initiatives
Serve as a production-support escalation point, investigate data and platform issues, and take ownership during incidents
Use SQL, Python, API queries, and cloud data and logs for troubleshooting
Author and maintain support playbooks, troubleshooting guides, administrative tooling, design documentation, and support documentation
Coordinate with QA, analyst teams, and vendors to define test strategy and ensure smoke-test and regression coverage
Drive self-service and automation opportunities to reduce manual analyst effort
Apply AI-assisted development and analysis tools and build reusable AI tools/skills for analysts
Mentor junior analysts, review designs and documentation, and provide technical direction to analysts and developers

Requirements

What you’ll need

7+ years of experience in the asset management or financial services industry
Strong hands-on understanding of investment management datasets and workflows, including positions, performance, reference/security-master data, and investment analytics such as DV01, duration, and returns
Excellent SQL skills, including multi-table joins, as-of/effective-date logic, and diagnosing discrepancies between data sources
Strong knowledge of relational databases and familiarity with non-relational data technologies
Practical Python experience for data analysis, troubleshooting, or related technical work
Ability to read and write GraphQL and REST API queries
Familiarity with AWS S3, Athena, and CloudWatch/OpenSearch
Understanding of messaging/notification patterns and batch scheduling concepts
Experience independently leading technical initiatives, coordinating competing priorities, and mentoring junior team members
Excellent written and verbal communication skills
Ability and willingness to work in a business-critical production environment, including production support/escalation responsibilities
Ability to work independently and guide and direct the work of others
Ability and willingness to work in an energetic, fast-paced, team-oriented environment
Hold an undergraduate degree in a related subject
Desired: Familiarity with Snowflake and Microsoft Fabric
Desired: Experience with metadata-driven data platforms and data federation or integration across multiple sources
Desired: Familiarity with cloud deployment strategies, including blue/green deployments, disaster recovery, and cloud migration
Desired: Experience using AI coding and analysis assistants such as Claude Code or GitHub Copilot
Desired: Experience with visualization tools such as Tableau
Desired: Experience with Git, Source Tree, and CI/CD deployment pipelines
Desired: SQL query performance tuning experience
Desired: Ability to design, document, and support highly complex, interrelated systems and data processing pipelines
Desired: Experience with messaging/notification systems and batch job scheduling tools

Benefits

Comp & perks

Discretionary Corporate Bonus and/or Incentives, if eligible
Retirement plan
Health and wellbeing coverage
Dental coverage
Vision coverage
Pharmacy coverage
Health savings account
Flexible spending accounts
Commuter program
Employee assistance program
Life and disability insurance
Adoption assistance
Back-up childcare
Tuition/CFA reimbursement
Paid time off, including leave of absence, paid holidays, volunteer, sick, and vacation time
Flexible work environment, with remote work 1 day a week