Data Scientist

• Own the complete NBA delivery lifecycle, including strategy, design, development, testing, deployment, measurement, and ongoing optimization.
• Translate business objectives into actionable inclusion/exclusion criteria, targeting logic, and decision strategies.
• Develop and maintain SQL/BigQuery-based data pipelines supporting campaign targeting, sizing, execution, and reporting.
• Build and enhance measurement frameworks to evaluate campaign effectiveness, business outcomes, and member engagement.
• Perform ad hoc analyses to identify optimization opportunities and support stakeholder decision-making.
• Configure and support NBA implementations within Pega, including launch readiness and process validation.
• Conduct campaign QA, operational monitoring, and issue resolution to ensure successful NBA execution.
• Partner with business, product, and technology teams to drive data-informed decisioning and recommendation strategies.
• Support experimentation and test-and-learn initiatives, including A/B testing and performance measurement.
• Leverage predictive models, AI/ML, and LLM-based inference capabilities where appropriate to improve decisioning effectiveness.

AI Engineer

• Architect and implement neuro-symbolic AI solutions that combine:
• Large Language Models and multimodal foundation models
• Symbolic reasoning, business rules, constraints, and policy engines
• Knowledge graphs and ontologies for grounding, reasoning, governance, and explainability
• Design and implement enterprise knowledge graph architectures using appropriate graph paradigms and technologies, including:
• Property graphs and labeled property graph models
• RDF, RDFS, OWL, SHACL, and semantic knowledge graphs
• Graph databases and platforms such as Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph, JanusGraph, ArangoDB, or equivalent technologies
• Design graph data models, schemas, ontologies, taxonomies, and canonical domain models aligned with enterprise use cases and data-governance requirements.
• Develop and optimize graph queries and traversal patterns using technologies such as:
• Cypher, SPARQL, Gremlin, GraphQL, or vendor-specific graph query languages
• Graph indexing, partitioning, caching, and performance-optimization strategies
• Lead the design and implementation of agentic AI systems, including:
• Multi-agent orchestration
• Tool use and function calling
• Planning, reflection, routing, and task decomposition
• Human-in-the-loop workflows
• Agent memory and persistent state
• Failure recovery, observability, evaluation, and governance
• Architect and deploy scalable APIs (REST/WebSocket) for AI and agent workflows.
• Deploy and maintain multiple GenAI / Agentic AI solutions in production, ensuring reliability, scalability, and security.
• Integrate SQL, No‑SQL, vector, and graph databases (Postgres, MongoDB, Neo4j, ChromaDB, etc.).
• Provide technical leadership and mentorship to AI and platform engineers.
• Collaborate with cross‑functional teams to deliver AI solutions across banking, insurance, and healthcare domains.
• Ensure governance, compliance, observability, and robustness of AI systems.
• Stay current with advancements in Generative AI, agentic systems, symbolic reasoning, and knowledge‑centric AI.
• Document system designs and present solutions to both technical and non‑technical stakeholders.

Lead Engineer – GenAI, Agentic AI, Knowledge Graph Architect

Manager

• Lead medium-sized data science projects.
• Oversee data science standards and documentation.
• Mentor and develop junior team members.
• Collaborate with other departments to align data science practices.

Lead Assistant Manager

Data Analyst

• Assist in gathering, cleaning, and analyzing data
• Assist in creating reports that support business decision-making

Consultant

• Collaborate with data stewards and business stakeholders to analyze key Critical Data Elements and build data dictionaries.
• Guide stakeholders in identifying Critical Business Terms and mapping them to the enterprise business glossary and data flow documentation.
• Support the Data Quality Team in mapping business and data quality rules to relevant technical metadata.

Senior Consultant

Vice President

• Oversee digital analytics at an organizational level.
• Lead high-impact digital analytics initiatives.
• Ensure alignment of digital analytics practices with organizational goals.
• Provide executive-level strategic guidance.

Assistant Vice President

Executive

• Support implementation of project plans.
• Perform advanced documentation tasks.
• Collaborate with team members.
• Enhance skills in project management tools and methodologies.
• Mentor junior team members.

Senior Executive

Solutions Engineer

• Design, document and govern state-of-the-art agentic solutions and platforms leveraging services available in AWS, Azure and GCP as well as 3rd party agentic frameworks and tools such as NVIDIA Nemo, Langsmith, Langfuse and Temporal.
• Provide reusable blueprints, documentation and guidelines to drive excellence and consistency in our solutions across engineering teams and collateral for our sales teams.
• Ensure all development follows EXL Digital’s engineering best practices
• Contribute to the digital AI Solution strategy for the target industry segments
• Support solutioning during the pre-sales cycle, translating business requirements into a credible agentic solutions by providing the technical approach, architecture and delivery plan
• Provide hands-on technical guidance to prospective clients on solution feasibility, risks, integration approach and scalability ahead of contract signature
• Foster deep relationships with technical stakeholders at our top clients by demonstrating insight and thought leadership on application of digital in their context to help them meet their business goals
• Work with teams across the business to generate innovative AI solution opportunities
• Drive innovation across digital engineering around AI

Digital AI Solution Architect

Business Intelligence Analyst

Reporting Analyst

Associate

• Preparation and E-Filing of US SUT tax returns
• Reconciliation
• Notice Management

Auditor

• Performing physical and remote audits of insured’s business.
• Interviews, investigates, collects, and records information to be used in a written report that is provided to the insurance carrier.

Field Auditor

• The Premium Insurance Field Auditor conducts insurance policy audits for Worker’s Compensation, Auto and General Liability policies.
• This is done by auditing the policyholder’s records according to client company standards.
• If you are looking for a fast paced, self-motivating work environment from home, this job may be for you!
• Working from your home office, this role requires scheduling appointments with the insured to be audited, and travel on an average of 4 days per week within your assigned territory to meet with the insured and obtain necessary documentation for our insurance company client audits all while adhering to customer requirements and quality standards.
• Territory: New Haven, CT and surrounding areas

Experienced Premium Insurance Field Auditor

Financial Planning and Analysis

• Lead the team in managing general ledger, and guide strategic decision-making
• Ensure accurate Payroll Accounting
• Reconcile Bank statements and maintain the general ledger in the system
• Assist in handling internal and external audits
• Review & analyze financial statements
• Prepare reconciliation of Balance Sheet Schedules
• P&L Variance Analysis
• Ensure accurate financial reporting
• Develop & Maintain internal controls, continuously refining accounting systems and procedures to increase accuracy & efficiency
• Assist leadership in forecasting and tracking organization spending
• Other mattes that maybe assigned from time to time

Finance Manager

ServiceNow

• Design, configure, and develop ServiceNow solutions using out-of-the-box features and custom scripting.
• Work on ServiceNow modules such as ITSM, ITOM, ITAM, WSD, CSM, or custom applications.
• Develop and maintain workflows, business rules, client scripts, script includes, UI policies, catalogs, and flows.
• Build and support integrations using REST/SOAP APIs, MID Server, and Integration Hub.
• Support CMDB and Discovery, ensuring data accuracy and relationship integrity.
• Participate in upgrades, patching, testing, and release management activities.
• Troubleshoot production issues and provide ongoing platform support.
• Collaborate with architects, business analysts, and cross-functional teams in Agile delivery models.
• Follow platform best practices, security standards, and governance guidelines

Senior ServiceNow Developer

Reviewer

• Conduct quality reviews of field survey reports to assure technical and professional company quality standards are met prior to the work being released for transmittal to the customer.
• Ability to conduct quality reviews on all lines of business, with a strength in Property and the ability to evaluate automatic sprinkler protection adequacy.
• Provide detailed reviews of Farm Loss Control Reports, including building valuations.
• Provide prompt, clear, succinct guidance to field staff for correction of any work not attaining acceptance of company quality standards.
• Provide technical coaching and assistance to survey field staff.
• Accountable for the quality of all survey work released by the branch to its customers.
• Advise the Quality Director of findings, training needs, product improvements or other actions that will improve the product of the surveys completed for our customers.
• Prepare accurate professional documentation of survey review, and communicate clearly and professionally with field staff, team members and clients.
• When requested, actively and professionally participate in providing technical and other guidance to field staff, assist with preparation and delivery of various training, and effectively coach staff.
• May be requested to assist with the more complicated and challenging field surveys should additional time be available after completion of the primary task of survey review and feedback.