Top Data & Analytics Jobs

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.

Analyze customer feedback, survey results, and operational data to identify trends, friction points, and experience opportunities. Create executive-ready dashboards, reports, presentations, and visualizations; support Forsta platform administration, survey configuration, reporting, and optimization. Improve reporting processes, data quality, and analytical practices while using data storytelling to provide actionable recommendations to stakeholders and business leaders.

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.