Top Tech Jobs & Startup Jobs

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.

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.

Leads MassMutual’s Distribution Master Data Management capability, including strategy, governance, stewardship, data quality, issue remediation, operating processes, and platform partnerships. Builds and manages a data operations team, establishes ownership and standards across Product, Party, Advisor, Account, Contract, and reference data domains, and drives adoption, reporting, continuous improvement, and stakeholder engagement.

Leads complex corporate strategy engagements for MassMutual, partnering with executives to evaluate growth opportunities, shape strategic priorities, and deliver actionable recommendations. Responsibilities include structuring ambiguous problems, synthesizing quantitative and qualitative insights, developing executive communications and Board materials, monitoring industry and competitive trends, managing strategic partnerships, and coaching analysts. The role focuses on insurance, wealth management, distribution, product, marketing, and broader financial-services strategy.

Design, build, and deploy end-to-end AI/ML solutions using LLMs, agentic and probabilistic methods. Scope problems, prototype, evaluate and benchmark models, integrate production APIs and cloud infrastructure, apply responsible AI practices, and communicate results to stakeholders while mentoring colleagues.

Develop Python and Excel models for life insurance product calculations, validate system values, define requirements, support product launches and system conversions, analyze defects, and maintain data integrity. The role applies actuarial and statistical methods, improves workflows through automation, coordinates shared model development, and communicates technical findings and deliverables to cross-functional business, systems, operations, legal, compliance, and vendor partners.

Performs advanced malware analysis, extracts indicators of compromise, develops SOAR automations, and builds AI-enabled SOC capabilities. The role tunes detection and alerting logic, enhances threat hunting, mentors junior analysts, leads escalations, performs QA, and documents investigations. It requires extensive SOC experience, Python and SOAR expertise, off-hours escalation support, and advanced knowledge of attack techniques, operating systems, cloud environments, web vulnerabilities, authentication, networking, and packet analysis.

Manage complex procurement contracts from planning through execution, including drafting, redlining, negotiation, risk assessment, stakeholder approvals, and supplier coordination. Collaborate with legal, compliance, IT, data security, and enterprise risk teams to ensure compliant agreements aligned with business objectives. Identify process inefficiencies and improve contracting workflows while managing multiple transactions and timelines.