Top Senior Level Jobs in Hartford, CT

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

Client Success Managers serve as the main contact for clients, ensuring satisfaction and alignment of needs, operating in a cloud-based environment, and providing analytical support to drive value from MedInsight's products.

As a Senior Project Engineer - Electrical, you will lead forensic investigations of electrical failures and provide expert testimony while collaborating on complex projects.

The Regional Vice President builds client relationships, drives sales, and provides tailored wealth management solutions in a collaborative environment.

Support real estate transactions by performing administrative duties, providing high customer support, solving problems, and improving processes in a production center.

The role includes leading a team of database engineers, designing and optimizing Oracle databases and AWS data services, and overseeing data migration efforts. Responsibilities involve collaboration across teams, performance tuning, and managing production support.

The Senior Enterprise Architect leads the design and implementation of network and cloud architectures, ensuring alignment with organizational goals and industry practices. Responsibilities include defining architecture frameworks, advising on cloud adoption, ensuring security compliance, and managing cross-functional teams.

Adjudicate miscellaneous professional liability claims (including litigated matters) within authority: investigate and document files, set reserves, negotiate settlements, draft coverage/denial letters, manage defense counsel, identify fraud and trends, communicate with claimants and brokers, and support claims projects.

Manage complex Architects & Engineers professional liability claims: analyze coverage, set reserves, oversee defense counsel, pursue early settlements, attend mediations, liaise with insureds/brokers, and maintain accurate claim files and vendor spend control.

Lead implementation and deployment of JDE manufacturing template solutions; provide day-to-day support, resolve issues, deliver enhancements, gather and document requirements, design and configure solutions, coordinate with development and testing teams, and produce regular status reports.

Design, develop, test, and support QlikView and Qlik Sense BI solutions including data models, front-end apps, scripting, and Publisher. Perform data analysis, produce technical documentation, interact with stakeholders to gather requirements, and apply basic data architecture. Insurance domain experience preferred.

Lead Microsoft Master Data Management (MDM) design and implementation, leveraging Microsoft MDS and existing SAP DQ. Perform data extraction from heterogeneous sources, data warehouse (EDW/ODS/Staging) work, database performance tuning, strategy definition, and client training on MDM best practices. Support requirements gathering, configuration management, and usability considerations.

Provide production support and middleware engineering: install, configure, deploy, and maintain applications across WebSphere, Tomcat, JBoss, IIS, AWS containers and Kubernetes. Troubleshoot using Dynatrace, CloudWatch and system logs, perform Linux/Windows server administration, create RCAs, manage incidents/changes in ServiceNow, participate in 24/7 on-call rotation, and collaborate globally to remediate security and performance issues.

Lead client relations, drive revenue and retention, oversee account strategy and performance analysis, optimize operations and profitability, support contract negotiations and RFPs, and build long-term strategic client relationships across regions.

Lead enterprise BPO new-logo sales across verticals: source and close deals, run full sales cycle, lead cross-functional pursuit teams, translate AI value to C-suite, build business cases and forecasts, represent the company externally, and feed market intelligence back into the business.