MassMutual

The Impact: In this role, you will: Lead end to end process analysis and automation assessments for complex, cross functional business processes, identifying opportunities that deliver measurable efficiency, risk reduction, and scalability. Independently evaluate automation feasibility, value, and prioritization, applying expert judgment to recommend optimal automation approaches. Partner with senior business stakeholders, product owners, architects, and technology leaders to shape automation roadmaps and investment decisions. Translate complex business needs into clear, high quality requirements, use cases, and solution designs that enable successful automation delivery. Influence and continuously improve enterprise intake, assessment, and prioritization processes across the automation lifecycle. Serve as a subject matter expert and thought leader, mentoring other analysts and elevating automation best practices across the organization. The Minimum Qualifications Bachelor's degree in Computer science, engineering or other applicable discipline 8+ years of experience in business analysis, process improvement, and automation 5+ years of experience working through enterprise level digital transformations The Ideal Qualifications Demonstrating experience leading complex, cross functional initiatives with minimal oversight Proven expertise in process analysis, business requirements definition, and solution shaping. Advanced proficiency in with process mapping tools such as Visio and Lucidchart Experience influencing senior stakeholders and driving outcomes across multiple business units. Experience working with UiPath Robotic Process Automation (RPA) platforms (e.g., UiPath or similar). Experience : Proven success delivering projects involving AI powered automations Background in financial services, insurance, or other regulated enterprise environments. Experience with automation assessment frameworks, value modeling, or intelligent automation. Strong executive level communication and presentation skills. Ability to operate as a trusted advisor and thought leader without formal people management responsibility. What to Expect as Part of MassMutual and the Team Regular meetings with the Enterprise Automation, Data Science & AI Engineering and Enterprise Architecture team Focused one-on-one meetings with your manager Access to mentorship opportunities Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design, deployment, set engineering standards, and drive the most complex platform initiatives from concept through production. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable. The Impact Define architectural direction at the AI platform component level-cloud infrastructure, AI serving layers, developer tooling, and reliability strategy-and translate it into a concrete, prioritized roadmap. Lead design on one of the platform's most critical components-LLM gateway, multi-tenant compute isolation, model serving infrastructure, and enterprise integration patterns. Write ADRs that become the team's engineering standards. Serve as the first point of technical escalation for hard engineering decisions. Run design reviews, provide deep technical feedback on pull requests, and pair with engineers on the gnarliest problems. Own the technical execution of major platform initiatives end to end-scoping, sequencing work, managing technical risk, and driving to production without losing quality. Lead platform reliability strategy: define SLOs, shape the observability strategy, lead incident reviews, and continuously raise the bar on platform stability and operational maturity. Lead technical design of governance and compliance controls-data residency, access management, audit logging, and AI usage policies-to satisfy enterprise customer requirements and compliance frameworks. Drive cross-team alignment with AI engineering, product, and cloud engineering teams; communicate technical trade-offs clearly and represent platform capabilities to senior stakeholders. Raise the technical craft of the team through thorough design reviews, documentation habits, and hands-on pairing-without managing anyone directly. The Minimum Qualifications 5+ years in platform, infrastructure, or SRE, with a track record as a technical lead or staff-level IC with team-wide technical scope. Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD) or equivalent AWS Certifications. 3+ years experience in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure. 3+ years experience of proven ownership of complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and technical risk throughout. The Ideal Qualifications Strong IaC and GitOps fluency: Terraform or Pulumi, ArgoCD, with experience standardizing platform tooling and deployment patterns across engineering teams. Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns. Experience mentoring engineers and influencing technical direction across teams. Strong written communication: clear design docs, useful ADRs, and the ability to explain architectural decisions to both engineers and non-technical stakeholders. LLM serving at scale-vLLM, Triton, Ray Serve-or experience with AI gateway design patterns. Experience building an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Strong grasp of AI safety, model evaluation, and governance frameworks. Ability to lead through technical credibility-influencing design decisions, driving alignment, and raising quality without formal authority. FinOps or GPU cost optimization experience across large inference workloads. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design, deployment, set engineering standards, and drive the most complex platform initiatives from concept through production. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable. The Impact Define architectural direction at the AI platform component level-cloud infrastructure, AI serving layers, developer tooling, and reliability strategy-and translate it into a concrete, prioritized roadmap. Lead design on one of the platform's most critical components-LLM gateway, multi-tenant compute isolation, model serving infrastructure, and enterprise integration patterns. Write ADRs that become the team's engineering standards. Serve as the first point of technical escalation for hard engineering decisions. Run design reviews, provide deep technical feedback on pull requests, and pair with engineers on the gnarliest problems. Own the technical execution of major platform initiatives end to end-scoping, sequencing work, managing technical risk, and driving to production without losing quality. Lead platform reliability strategy: define SLOs, shape the observability strategy, lead incident reviews, and continuously raise the bar on platform stability and operational maturity. Lead technical design of governance and compliance controls-data residency, access management, audit logging, and AI usage policies-to satisfy enterprise customer requirements and compliance frameworks. Drive cross-team alignment with AI engineering, product, and cloud engineering teams; communicate technical trade-offs clearly and represent platform capabilities to senior stakeholders. Raise the technical craft of the team through thorough design reviews, documentation habits, and hands-on pairing-without managing anyone directly. The Minimum Qualifications 5+ years in platform, infrastructure, or SRE, with a track record as a technical lead or staff-level IC with team-wide technical scope. Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD) or equivalent AWS Certifications. 3+ years experience in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure. 3+ years experience of proven ownership of complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and technical risk throughout. The Ideal Qualifications Strong IaC and GitOps fluency: Terraform or Pulumi, ArgoCD, with experience standardizing platform tooling and deployment patterns across engineering teams. Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns. Experience mentoring engineers and influencing technical direction across teams. Strong written communication: clear design docs, useful ADRs, and the ability to explain architectural decisions to both engineers and non-technical stakeholders. LLM serving at scale-vLLM, Triton, Ray Serve-or experience with AI gateway design patterns. Experience building an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Strong grasp of AI safety, model evaluation, and governance frameworks. Ability to lead through technical credibility-influencing design decisions, driving alignment, and raising quality without formal authority. FinOps or GPU cost optimization experience across large inference workloads. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Business Consultant Insurance, Worksite, & Institutional Technology Full Time, Springfield MA (Hybrid) The Opportunity We are seeking a Business Systems Analyst to support systems requirements and solution definition across insurance product development programs. This Business Systems Analyst role will partner with Product, Operations, Architecture, Engineering, Quality Assurance, Delivery, and vendor teams to translate business objectives into clear, actionable requirements that support the successful delivery of new and enhanced insurance products. The Team The Insurance, Worksite, & Institutional Technology organization supports the technology capabilities required to design, launch, enhance, and service insurance products across Life, Annuity, Disability, and related product lines. The team works across policy administration, new business and underwriting, illustrations, product rules and calculations, data integrations, digital experiences, correspondence, reporting, and downstream operational platforms. The Business Systems Analyst will contribute to successful delivery by producing high-quality requirements, clarifying system impacts, supporting solution alignment, and helping reduce downstream rework. The Impact This position is accountable for analyzing business needs, documenting systems requirements, supporting solution definition, and ensuring requirements are clear, testable, and aligned to product development outcomes. The role supports cross-functional initiatives from discovery through implementation by helping teams understand current-state processes, future-state needs, system impacts, dependencies, data considerations, and acceptance criteria. Success requires strong analytical skills, insurance domain knowledge, collaboration, attention to detail, and the ability to communicate effectively across business and technology stakeholders. Key Responsibilities Elicit and document requirements: Work with business SMEs, product owners, technology teams, and vendors to gather, analyze, document, validate, and maintain business and systems requirements for insurance product development initiatives. Translate business needs into system-ready detail: Convert product strategies, business rules, product specifications, operational needs, and regulatory considerations into clear business requirements, functional requirements, user stories, use cases, process flows, interface needs, data requirements, and acceptance criteria. Analyze system and process impacts: Assess upstream, downstream, data, integration, operational, reporting, and customer experience impacts across the insurance technology ecosystem. Support solution definition: Partner with solution architects, product owners, engineering teams, QA, vendors, and platform teams to clarify requirements, evaluate solution options, identify dependencies, document assumptions, and support design decisions. Use AI to improve productivity: Apply AI-enabled tools to accelerate first drafts, improve documentation consistency, summarize requirements inputs, identify potential gaps, and explore practical ways to improve effectiveness across the team while applying appropriate review and quality controls. Facilitate working sessions: Lead or support discovery sessions, requirement reviews, process walkthroughs, design discussions, defect triage conversations, and sign-off preparation with business and technology stakeholders. Manage requirement clarity and change: Identify requirement gaps, ambiguity, conflicts, and scope changes; document impacts and raise risks, issues, decisions, and open questions to the appropriate project or program leads. Support testing and validation: Partner with QA, UAT, business SMEs, and engineering teams to ensure test scenarios and acceptance criteria validate business outcomes and integrated system behavior. Maintain traceability and documentation quality: Keep requirements, decisions, assumptions, dependencies, open items, and acceptance criteria organized, current, and traceable throughout the delivery lifecycle. Communicate status and risks: Provide concise updates on requirements progress, open questions, risks, decisions needed, and readiness for design, development, testing, and implementation activities. Primary Deliverables Business requirements and systems requirements documentation for insurance product development programs Functional requirements, user stories, use cases, acceptance criteria, business rules, and process flows Current-state and future-state workflow, data, integration, and system impact documentation Requirement readiness inputs, open-item logs, assumptions, constraints, dependencies, and decision records Impact analysis for scope changes, defects, risks, dependencies, and downstream system impacts Solution-support materials, including options, considerations, tradeoffs, and recommendations for review by project and technical leads UAT and end-to-end testing support artifacts, including scenario inputs, acceptance criteria, and requirement-to-test alignment Concise status updates on requirements progress, risks, decisions, and readiness for design, development, testing, and implementation Minimum Qualifications Bachelor's Degree. 5+ years of experience in Business Analysis, Business Systems Analysis, Product Analysis, Systems Analysis, or a related technology delivery role. 2+ years of experience supporting insurance technology initiatives, preferably across Life, Annuity, Disability, Underwriting, Policy Administration, Product Administration, Illustrations, Billing, Claims, or related insurance operations. Preferred Qualifications 7+ years of progressive business analysis or business systems analysis experience in a technology delivery environment. Working knowledge of insurance product development processes, product specifications, state filing considerations, regulatory impacts, and product launch readiness. Experience documenting requirements for systems, integrations, vendor platforms, or cross-functional delivery initiatives. Strong understanding of the software delivery lifecycle, including discovery, requirements, architecture and design, development, testing, implementation, and production support. Experience creating business requirements, functional specifications, user stories, use cases, process flows, data needs, interface impacts, and acceptance criteria. Ability to facilitate requirements discussions, resolve ambiguity, ask effective questions, and work collaboratively across business and technology teams. Strong communication, analytical, problem-solving, organization, and documentation skills. Experience with Agile, hybrid, and waterfall delivery models, including backlog refinement, sprint planning, release planning, and structured governance. Experience with policy administration systems, underwriting platforms, illustrations, product/rules engines, data integrations, correspondence platforms, reporting, or advisor/customer-facing digital capabilities. Experience working with third-party vendors, managed service partners, enterprise shared service teams, and distributed delivery teams. Familiarity with tools such as Jira, Confluence, ServiceNow, Visio, Miro, Excel, PowerPoint, SQL, or comparable analysis and delivery tools. Professional certification such as CBAP, CCBA, PMI-PBA, CSPO, SAFe, Six Sigma, or similar is a plus. What You Can Expect at MassMutual MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect: Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes A collaborative environment where perspectives are welcomed Access to learning, development, and internal networks that support continuous growth and skill-building over time Employee-led communities and forums that foster connection, learning, and inclusion across the organization A culture grounded in integrity, responsibility, and stewardship-supported by a company with a strong legacy and a future-focused mindset MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

The Impact: In this role, you will: Lead end to end process analysis and automation assessments for complex, cross functional business processes, identifying opportunities that deliver measurable efficiency, risk reduction, and scalability. Independently evaluate automation feasibility, value, and prioritization, applying expert judgment to recommend optimal automation approaches. Partner with senior business stakeholders, product owners, architects, and technology leaders to shape automation roadmaps and investment decisions. Translate complex business needs into clear, high quality requirements, use cases, and solution designs that enable successful automation delivery. Influence and continuously improve enterprise intake, assessment, and prioritization processes across the automation lifecycle. Serve as a subject matter expert and thought leader, mentoring other analysts and elevating automation best practices across the organization. The Minimum Qualifications Bachelor's degree in Computer science, engineering or other applicable discipline 8+ years of experience in business analysis, process improvement, and automation 5+ years of experience working through enterprise level digital transformations The Ideal Qualifications Demonstrating experience leading complex, cross functional initiatives with minimal oversight Proven expertise in process analysis, business requirements definition, and solution shaping. Advanced proficiency in with process mapping tools such as Visio and Lucidchart Experience influencing senior stakeholders and driving outcomes across multiple business units. Experience working with UiPath Robotic Process Automation (RPA) platforms (e.g., UiPath or similar). Experience : Proven success delivering projects involving AI powered automations Background in financial services, insurance, or other regulated enterprise environments. Experience with automation assessment frameworks, value modeling, or intelligent automation. Strong executive level communication and presentation skills. Ability to operate as a trusted advisor and thought leader without formal people management responsibility. What to Expect as Part of MassMutual and the Team Regular meetings with the Enterprise Automation, Data Science & AI Engineering and Enterprise Architecture team Focused one-on-one meetings with your manager Access to mentorship opportunities Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

The Impact: In this role, you will: Lead end to end process analysis and automation assessments for complex, cross functional business processes, identifying opportunities that deliver measurable efficiency, risk reduction, and scalability. Independently evaluate automation feasibility, value, and prioritization, applying expert judgment to recommend optimal automation approaches. Partner with senior business stakeholders, product owners, architects, and technology leaders to shape automation roadmaps and investment decisions. Translate complex business needs into clear, high quality requirements, use cases, and solution designs that enable successful automation delivery. Influence and continuously improve enterprise intake, assessment, and prioritization processes across the automation lifecycle. Serve as a subject matter expert and thought leader, mentoring other analysts and elevating automation best practices across the organization. The Minimum Qualifications Bachelor's degree in Computer science, engineering or other applicable discipline 8+ years of experience in business analysis, process improvement, and automation 5+ years of experience working through enterprise level digital transformations The Ideal Qualifications Demonstrating experience leading complex, cross functional initiatives with minimal oversight Proven expertise in process analysis, business requirements definition, and solution shaping. Advanced proficiency in with process mapping tools such as Visio and Lucidchart Experience influencing senior stakeholders and driving outcomes across multiple business units. Experience working with UiPath Robotic Process Automation (RPA) platforms (e.g., UiPath or similar). Experience : Proven success delivering projects involving AI powered automations Background in financial services, insurance, or other regulated enterprise environments. Experience with automation assessment frameworks, value modeling, or intelligent automation. Strong executive level communication and presentation skills. Ability to operate as a trusted advisor and thought leader without formal people management responsibility. What to Expect as Part of MassMutual and the Team Regular meetings with the Enterprise Automation, Data Science & AI Engineering and Enterprise Architecture team Focused one-on-one meetings with your manager Access to mentorship opportunities Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

The Opportunity MassMutual's AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design, deployment, set engineering standards, and drive the most complex platform initiatives from concept through production. The Team This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual's AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable. The Impact Define architectural direction at the AI platform component level-cloud infrastructure, AI serving layers, developer tooling, and reliability strategy-and translate it into a concrete, prioritized roadmap. Lead design on one of the platform's most critical components-LLM gateway, multi-tenant compute isolation, model serving infrastructure, and enterprise integration patterns. Write ADRs that become the team's engineering standards. Serve as the first point of technical escalation for hard engineering decisions. Run design reviews, provide deep technical feedback on pull requests, and pair with engineers on the gnarliest problems. Own the technical execution of major platform initiatives end to end-scoping, sequencing work, managing technical risk, and driving to production without losing quality. Lead platform reliability strategy: define SLOs, shape the observability strategy, lead incident reviews, and continuously raise the bar on platform stability and operational maturity. Lead technical design of governance and compliance controls-data residency, access management, audit logging, and AI usage policies-to satisfy enterprise customer requirements and compliance frameworks. Drive cross-team alignment with AI engineering, product, and cloud engineering teams; communicate technical trade-offs clearly and represent platform capabilities to senior stakeholders. Raise the technical craft of the team through thorough design reviews, documentation habits, and hands-on pairing-without managing anyone directly. The Minimum Qualifications 5+ years in platform, infrastructure, or SRE, with a track record as a technical lead or staff-level IC with team-wide technical scope. Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD) or equivalent AWS Certifications. 3+ years experience in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure. 3+ years experience of proven ownership of complex, multi-month platform initiatives-driven from whiteboard to production, managing ambiguity and technical risk throughout. The Ideal Qualifications Strong IaC and GitOps fluency: Terraform or Pulumi, ArgoCD, with experience standardizing platform tooling and deployment patterns across engineering teams. Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns. Experience mentoring engineers and influencing technical direction across teams. Strong written communication: clear design docs, useful ADRs, and the ability to explain architectural decisions to both engineers and non-technical stakeholders. LLM serving at scale-vLLM, Triton, Ray Serve-or experience with AI gateway design patterns. Experience building an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience. Strong grasp of AI safety, model evaluation, and governance frameworks. Ability to lead through technical credibility-influencing design decisions, driving alignment, and raising quality without formal authority. FinOps or GPU cost optimization experience across large inference workloads. Open-source contributions to platform or ML infrastructure tooling. Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn't any. What to Expect as Part of MassMutual and the Team Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.