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

7+ Years Experience In Asset ManagementStrong SQL SkillsPractical Python ExperienceAWS S3 And Athena FamiliarityExperience With Metadata-Driven Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL Query Performance TuningGraphQL And REST API QueriesData AnalysisData Processing Pipeline DesignInvestment Management Datasets UnderstandingRelational Databases KnowledgeNon-Relational Data Technologies FamiliarityAI Coding And Analysis Assistants ExperienceVisualization Tools Such As TableauBatch Job Scheduling Tools Understanding

Soft Skills

Excellent Written And Verbal Communication SkillsAbility To Work IndependentlyMentoring Junior Team MembersCollaboration With StakeholdersAbility To Work In A Fast-Paced Environment

Tools & Technologies

AWS CloudWatchOpenSearchSnowflakeMicrosoft FabricGitSourceTreeCI/CD Deployment Pipelines

Industry Keywords

Financial Services IndustryData FederationDisaster RecoveryCloud MigrationMessaging/Notification Patterns

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, 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 an escalation point for production support and investigate data and platform issues using SQL, Python, API queries, and cloud data and logs
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 to dataset onboarding, testing, and support work
Build reusable AI tools and skills for analysts
Mentor junior analysts 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, 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
Working familiarity with AWS S3, Athena, and CloudWatch/OpenSearch
Understanding of messaging/notification patterns and batch scheduling concepts
Experience independently leading technical initiatives and coordinating priorities across business and technology stakeholders
Experience 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
Familiarity with Snowflake and Microsoft Fabric
Experience with metadata-driven data platforms and data federation or integration across multiple sources
Familiarity with blue/green deployments, disaster recovery, and cloud migration
Experience using AI coding and analysis assistants, including building reusable AI-powered tools or automations
Experience with visualization tools such as Tableau
Understanding of Git, SourceTree, and CI/CD deployment pipelines
SQL query performance tuning experience
Ability to design, document, and support complex, interrelated systems and data processing pipelines
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 the ability to work remotely 1 day a week