Data Management Analyst Visa Sponsorship Jobs in Massachusetts
Massachusetts is a strong market for data management analysts, with demand concentrated in Boston's financial services, life sciences, and technology sectors. Major employers include Fidelity Investments, Biogen, HubSpot, and Massachusetts General Hospital. Cambridge and Boston lead in sponsorship activity, supported by a steady pipeline of graduate talent from MIT, Harvard, and Northeastern.
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Get Access To All JobsROLE OVERVIEW
As a Senior Data Management Technical Analyst, you will play a pivotal role in designing, delivering, and scaling data models, analytics and management principals to power next-generation wealth management solutions. You will operate at the intersection of data engineering, analytics, and applied AI, translating complex business and research needs into robust, production-grade data solutions.
This is a senior individual contributor role with strong business and technology design ownership. You will lead data-focused solution design across the full lifecycle—from data sourcing and modeling to analytics, visualization, security, and integration with AI/ML and application platforms. The role requires both hands-on technical depth and the ability to influence architecture, standards, and best practices across the Wealth R&D portfolio.
ABOUT THE TEAM
The Wealth Research & Development (R&D) team is a strategic innovation hub focused on building next-generation wealth management solutions. We operate at the intersection of application engineering, AI-enabled capabilities, and human-centered design, rapidly designing, prototyping and validating solutions that can scale across the organization.
KEY RESPONSIBILITIES
- Lead the design and delivery of data-centric solutions that support analytics, AI/ML, and digital wealth use cases ensuring efficient data management and processing and maintaining a high level of data security and protection
- Partner with product managers, researchers, and engineers to translate business questions into data requirements, models, and analytical outputs
- Analyze, profile, and transform structured and semi-structured data to ensure high data quality, reliability, and usability
- Define data models to support differentiated data requirements across the application clients
- Define and document data models, metrics, and analytical logic used across dashboards, prototypes, and production systems
- Develop analytics, dashboards, and exploratory analysis to surface insights and evaluate solution performance
- Collaborate with application and AI teams to integrate data platforms with APIs, services, and AI/ML workflows
- Evaluate and recommend technologies, frameworks, and tooling for data ingestion, analytics, governance, and observability
- Document standards for managing personal, confidential and other sensitive information to ensure all data used and persisted is clearly understood in terms of use, persistence, masking and encrypting where appropriate
- Support proof-of-concept and pilot initiatives, while ensuring designs can scale to enterprise-grade, production solutions
- Work with AI and Application Engineers to support data management for observability, telemetry and audit logs generated via the AI Agents to ensure efficient storage, rapid recall and assessment by surveillance and oversight services
- Contribute to data standards, governance practices, and knowledge-sharing across the Wealth R&D organization
REQUIRED QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Strong hands-on experience with data analysis and data engineering using Python
- Expert level proficiency with relational data modeling and managing structured, semi-structured and non-structured data in an enterprise solution
- Experience building and maintaining data pipelines, analytics workflows, and data integrations
- Strong experience supporting full‑stack applications for web and/or mobile platforms
- Understanding of Python for backend development and data-driven services
- Hands-on experience deploying and operating applications in the cloud (Microsoft Azure, AWS and/or Google Cloud Platform)
- Experience with databases and data access (SQL and/or NoSQL)
- Experience working with personal and confidential data
- Experience working in a highly regulated financial services data environment
PREFERRED QUALIFICATIONS
- Master’s or PhD in Computer Science, Data Science, Engineering, or a related technical field
- 5+ years of experience delivering production-grade web or mobile applications
- Experience in financial services or other regulated environments
- Experience with cloud-native architectures (microservices, serverless, managed services)
- Experience integrating applications with AI/ML or LLM-powered services
- Knowledge of CI/CD pipelines and infrastructure-as-code concepts
- Experience designing, managing or building scalable backend services, APIs, and microservices
- Experience with a broad range of data management tools and solutions including leading edge research on soon to be released solutions
CORE COMPETENCIES
- Strong problem-solving and analytical mindset
- Ability to navigate data seamlessly across frontend, backend, and cloud infrastructure
- Clear communication with both technical and non‑technical partners
- Attention to detail in code design requirements, testing, security review, and documentation
- Adaptability and curiosity in a fast‑paced, cloud-first innovation environment
SALARY RANGE
$120,000 - $202,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
ABOUT STATE STREET
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
JOB APPLICATION DISCLOSURE:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
ROLE OVERVIEW
As a Senior Data Management Technical Analyst, you will play a pivotal role in designing, delivering, and scaling data models, analytics and management principals to power next-generation wealth management solutions. You will operate at the intersection of data engineering, analytics, and applied AI, translating complex business and research needs into robust, production-grade data solutions.
This is a senior individual contributor role with strong business and technology design ownership. You will lead data-focused solution design across the full lifecycle—from data sourcing and modeling to analytics, visualization, security, and integration with AI/ML and application platforms. The role requires both hands-on technical depth and the ability to influence architecture, standards, and best practices across the Wealth R&D portfolio.
ABOUT THE TEAM
The Wealth Research & Development (R&D) team is a strategic innovation hub focused on building next-generation wealth management solutions. We operate at the intersection of application engineering, AI-enabled capabilities, and human-centered design, rapidly designing, prototyping and validating solutions that can scale across the organization.
KEY RESPONSIBILITIES
- Lead the design and delivery of data-centric solutions that support analytics, AI/ML, and digital wealth use cases ensuring efficient data management and processing and maintaining a high level of data security and protection
- Partner with product managers, researchers, and engineers to translate business questions into data requirements, models, and analytical outputs
- Analyze, profile, and transform structured and semi-structured data to ensure high data quality, reliability, and usability
- Define data models to support differentiated data requirements across the application clients
- Define and document data models, metrics, and analytical logic used across dashboards, prototypes, and production systems
- Develop analytics, dashboards, and exploratory analysis to surface insights and evaluate solution performance
- Collaborate with application and AI teams to integrate data platforms with APIs, services, and AI/ML workflows
- Evaluate and recommend technologies, frameworks, and tooling for data ingestion, analytics, governance, and observability
- Document standards for managing personal, confidential and other sensitive information to ensure all data used and persisted is clearly understood in terms of use, persistence, masking and encrypting where appropriate
- Support proof-of-concept and pilot initiatives, while ensuring designs can scale to enterprise-grade, production solutions
- Work with AI and Application Engineers to support data management for observability, telemetry and audit logs generated via the AI Agents to ensure efficient storage, rapid recall and assessment by surveillance and oversight services
- Contribute to data standards, governance practices, and knowledge-sharing across the Wealth R&D organization
REQUIRED QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Strong hands-on experience with data analysis and data engineering using Python
- Expert level proficiency with relational data modeling and managing structured, semi-structured and non-structured data in an enterprise solution
- Experience building and maintaining data pipelines, analytics workflows, and data integrations
- Strong experience supporting full‑stack applications for web and/or mobile platforms
- Understanding of Python for backend development and data-driven services
- Hands-on experience deploying and operating applications in the cloud (Microsoft Azure, AWS and/or Google Cloud Platform)
- Experience with databases and data access (SQL and/or NoSQL)
- Experience working with personal and confidential data
- Experience working in a highly regulated financial services data environment
PREFERRED QUALIFICATIONS
- Master’s or PhD in Computer Science, Data Science, Engineering, or a related technical field
- 5+ years of experience delivering production-grade web or mobile applications
- Experience in financial services or other regulated environments
- Experience with cloud-native architectures (microservices, serverless, managed services)
- Experience integrating applications with AI/ML or LLM-powered services
- Knowledge of CI/CD pipelines and infrastructure-as-code concepts
- Experience designing, managing or building scalable backend services, APIs, and microservices
- Experience with a broad range of data management tools and solutions including leading edge research on soon to be released solutions
CORE COMPETENCIES
- Strong problem-solving and analytical mindset
- Ability to navigate data seamlessly across frontend, backend, and cloud infrastructure
- Clear communication with both technical and non‑technical partners
- Attention to detail in code design requirements, testing, security review, and documentation
- Adaptability and curiosity in a fast‑paced, cloud-first innovation environment
SALARY RANGE
$120,000 - $202,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
ABOUT STATE STREET
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
JOB APPLICATION DISCLOSURE:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Data Management Analyst Job Roles in Massachusetts
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Search Data Management Analyst Jobs in MassachusettsData Management Analyst Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for data management analysts in Massachusetts?
Financial services firms like Fidelity Investments, State Street, and Liberty Mutual have consistent track records of sponsoring data management roles. In life sciences, Biogen, Moderna, and Takeda regularly file for analysts managing clinical and research data. Technology companies including HubSpot and Wayfair also sponsor these roles. Sponsorship is most common at mid-to-large enterprises with established immigration programs, not early-stage startups.
Which visa types are most common for data management analyst roles in Massachusetts?
The H-1B visa is the most common visa category for data management analysts in Massachusetts, as the role typically qualifies as a specialty occupation requiring a bachelor's degree in a relevant field such as information systems, computer science, or statistics. Candidates already authorized under OPT or STEM OPT are frequently hired first, with employers filing H-1B petitions in the subsequent lottery cycle. The O-1 visa is an option for candidates with documented exceptional achievements.
Which cities in Massachusetts have the most data management analyst sponsorship jobs?
Boston and Cambridge account for the large majority of data management analyst sponsorship activity in Massachusetts. Boston's financial district and Longwood Medical Area drive demand in financial services and healthcare data respectively, while Cambridge's Kendall Square concentration of biotech and pharmaceutical firms creates consistent need for clinical and research data analysts. Waltham and Marlborough also see sponsorship activity from technology and life sciences companies based along Route 128.
How to find data management analyst visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international candidates and filters job listings by visa sponsorship availability, so you can search data management analyst roles in Massachusetts without sorting through employers who do not sponsor. The platform surfaces positions across financial services, biotech, and technology sectors in Boston, Cambridge, and surrounding areas. Filtering by sponsorship type also helps identify employers actively filing H-1B petitions for this role category in the state.
Are there any Massachusetts-specific factors that affect data management analyst sponsorship?
Massachusetts employers must meet the Department of Labor's prevailing wage requirements for the Boston-Cambridge metropolitan area when filing an H-1B Labor Condition Application, and that metro's wage levels tend to be higher than national averages for data roles. The state's concentration of research universities, including MIT, Harvard, and Northeastern, creates a strong OPT-to-H-1B pipeline that many Massachusetts employers are already experienced navigating. Life sciences and financial services firms here generally have mature in-house immigration processes.
What is the prevailing wage for sponsored data management analyst jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.