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Leads business and systems analysis for complex insurance product technology initiatives. Translates business objectives into requirements, functional specifications, process flows, and acceptance criteria; evaluates solution impacts and dependencies; maintains traceability across the delivery lifecycle; facilitates stakeholder alignment; resolves ambiguity; and supports quality validation, implementation, and post-launch outcomes. The role requires substantial insurance domain knowledge and experience across Agile, hybrid, and waterfall delivery models.

Owns strategy, business goals, scope, prioritization, and roadmap for Salesforce CRM workflow orchestration and related enterprise initiatives. Partners with cross-functional leaders to define requirements, manage delivery timelines, assess risks, remove obstacles, and ensure operational readiness. Leads stakeholder communication, data-informed decision-making, benefit realization, and transition planning across multi-phase agile, waterfall, and hybrid projects.

Price and evaluate retail life insurance products, monitor underwriting performance and portfolio profitability, analyze emerging experience and risk indicators, and support product design and pricing decisions. The role develops profitability analyses, sensitivity scenarios, dashboards, reports, and quarterly VNB reporting while partnering with Underwriting, Medical, New Business, and Product Management teams. It requires an ASA, substantial actuarial experience, and life insurance expertise, with FSA and Power BI experience preferred.

Supports accounting and financial reporting for wealth management entities through reconciliations, cash management, journal entries, monthly close, regulatory reporting, audit requests, internal controls, and financial analysis. The role also contributes to SOX and FRR compliance, process improvement, reporting automation, and business performance insights.

Supports business projects and operational initiatives through research, analysis, recommendations, presentations, reports, and process documentation. Collaborates with team members and business partners, manages assigned priorities, communicates progress, and presents a capstone project. The internship provides experience in business operations, process improvement, project delivery, and professional problem-solving.

Manage delivery of a portfolio of AI and data science projects from planning through implementation. Coordinate technical and non-technical teams, dependencies, requirements, budgets, timelines, and stakeholder expectations. Lead Agile ceremonies, drive accountability, translate AI capabilities into actionable requirements, and proactively identify and mitigate risks across complex, concurrent initiatives.

Leads MassMutual’s enterprise model risk management program, including governance, policies, validation, monitoring, issue management, regulatory engagement, and senior leadership reporting. Oversees models used in pricing, valuation, financial reporting, investments, capital, and risk management. Develops AI-related model risk strategies, strengthens risk culture and accountability, and builds a high-performing validation team. Requires an FSA, quantitative education, extensive financial services and actuarial modeling experience, and demonstrated senior leadership influence.

Develop and support full-stack applications for wealth management technology, including new project delivery, production support, defect resolution, compliance, audit, and regulatory work. Responsibilities include application and data integration, SQL and scripting, cloud application development, enterprise data warehouse support, testing, documentation, and collaboration with IT and business stakeholders. The role uses Java, Spring Boot, React, Node.js, AWS, Kubernetes, Terraform, and related development and monitoring tools.

Provides portfolio-level data management, reporting, dashboards, and analysis for strategic initiatives. Supports executive decision-making by monitoring milestones, forecasts, risks, data integrity, schedules, and operational efficiency. Partners with portfolio leads, business owners, and stakeholders to resolve data issues, improve processes, prepare meetings, and facilitate prioritization and sequencing discussions.

Lead the strategy, operating model, standards, and adoption of a Distribution Data Platform and Single Source of Truth capability. Establish business definitions, canonical requirements, metadata, ownership models, and source-of-truth expectations across key data domains. Build and lead the supporting business team, partner with technology and governance stakeholders, and drive organizational alignment, training, adoption, and integration of data standards into platforms, initiatives, and processes.