Top Senior Level Jobs in Providence, RI

Underwrite complex home equity line of credit applications by analyzing borrower documentation, creditworthiness, tax returns, K-1s, verifiable income, and repayment ability. Apply consumer lending policies, regulatory guidelines, and secondary market requirements to make sound credit decisions, mitigate risk, document methodologies, and identify counteroffer opportunities while meeting quality and productivity standards.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Leads product management strategy and execution, translating organizational goals into roadmaps, prioritization decisions, and measurable outcomes. Defines user problems, partners with design, engineering, data, and stakeholders, facilitates workshops, manages product delivery, and uses research and metrics to guide decisions. Coaches and develops product managers, supports hiring, and presents strategy to executives and external partners. The role focuses on a mission-driven home care marketplace serving multiple user groups and regulated environments.

Manages a business sales team serving small and medium-sized businesses. Responsibilities include coaching Account Executives, setting and monitoring sales goals, developing territory plans, overseeing sales funnels, recruiting and training employees, resolving customer issues, ensuring accurate reporting, and maintaining knowledge of telecommunications products, market trends, and competitors. The role spends approximately 80% of its time supporting the team in the field.

Acquire, retain, and deepen a portfolio of ~40 business clients and 60 prospects (>$3M revenue). Provide deposit, cash management and commercial credit solutions (up to $15M), prospect for new clients, build referral networks, partner with internal specialists for onboarding, and ensure strong client experience while following risk and regulatory protocols.

Lead tailored threat hunting and intelligence operations for high-profile customers: execute sophisticated hunts, research dark web and threat activity, deliver executive and technical briefings, respond to ad hoc customer requests, and leverage AI/autonomous agents to accelerate analysis and outcomes while supporting on-call rotation and cross-team initiatives.

Lead identification, investigation, and prevention of healthcare fraud, waste, and abuse. Use claims data and guidelines to detect aberrant billing, conduct fieldwork and interviews, collect evidence, analyze trends, maintain case records, support settlements and legal proceedings, and coordinate with state/federal partners and regulators.

Develops complex financial and operational models, analyzes reports, supports operating budgets, identifies trends and errors, and recommends strategies to senior management. The role partners across Finance and business functions, supports process improvements, prepares executive presentations, and provides guidance to others. It requires expertise in FP&A or Treasury, financial planning, insurance business practices, and senior-level analysis. The position is remote within the United States, excluding Alaska and Hawaii, with travel as needed.

Manages complex distressed commercial credit relationships from assessment through resolution. Develops recovery strategies, evaluates borrowers and collateral, leads restructurings and negotiations, oversees legal recovery actions, presents recommendations to senior leadership, monitors portfolio risk, supports forecasting and reserves, and mentors junior staff. The role requires deep commercial lending, credit analysis, financial valuation, negotiation, documentation, and risk management expertise.

The Software Engineer will manage data collection and ingestion for AI model training, improve cloud infrastructure, and collaborate on dataset strategies.