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.

Loss Control Reviewer – Part Time

Manager

• Manage marketing analytics projects and ensure alignment with business goals.
• Ensure adherence to marketing analytics policies and procedures.
• Provide strategic guidance on marketing analytics practices.
• Lead a team of marketing analysts.

Executive

• A Claims Adjudication job involves reviewing insurance claims to determine whether they should be approved, denied, or adjusted according to policy terms, regulations, and company guidelines.

Senior Executive

Network Engineer

• Conduct periodic capacity assessments across WAN, Internet, MPLS.
• Analyze utilization trends and forecast future bandwidth requirements based on business growth and technology adoption.
• Recommend capacity augmentation, optimization, and technology refresh strategies.
• Lead telecom readiness for new business launches, office expansions, relocations, and site setup initiatives.
• Manage end-to-end telecom provisioning, including bandwidth planning, circuit ordering, commissioning, and testing.
• Work with Service provider to mitigate the Single points of failure across telecom infrastructure, service providers, PoPs, and last-mile connectivity.

Network Operation Specialist

Client Services Representative

• Lead technology presales and client solutioning to support new business growth across industries and global geographies.
• Drive RFP responses, solution design, commercials, due diligence, client presentations, and contracting support.
• Shape innovative solutions across Data & AI, Cloud, Digital Workplace, Contact Center, Network, pricing models, and industry benchmarks.
• Ensure seamless client transitions through strong stakeholder engagement, provider coordination, transition governance, and risk management.
• Own technology service delivery outcomes including 99.99% availability, cost management, compliance, quality, and zero-escalation focus.
• Influence business and client stakeholders through structured governance, value articulation, capability evangelization, and senior leadership engagement.
• Identify and implement AI-led use cases to improve operations management, service efficiency, and technology-enabled business outcomes.
• Collaborate with cross-functional teams to enhance service delivery processes, foster innovation, and ensure the reliability and efficiency of technology services.

Vice President – Technology Client Solutions and Service Delivery

Business Operations

• Processing NON PO/PO Invoices, Exceptions handling
• Enter time-sensitive Utility invoices and research any past due amounts to ensure for current accounts
• Ensure SLA target are achieved
• Month-end responsibilities include ensuring that all invoices are processed by month-end
• Ability to comprehend complex information quickly & respond with clear solutions

Associate – Back Office

SDET

• Develop and maintain automated test scripts using Java and Selenium WebDriver
• Design and enhance automation frameworks (TestNG/JUnit, Page Object Model, etc.)
• Execute automated test suites and analyze results
• Collaborate with developers, product managers, and QA teams to understand requirements
• Identify, report, and track defects using defect management tools
• Perform regression, functional, and integration testing
• Ensure test coverage and improve test efficiency through automation
• Work on CI/CD integration (Jenkins or similar tools)
• Leverage AI tools to improve test case generation, defect prediction, and overall testing efficiency

QA Automation Engineer

Business Intelligence Developer

• Design, develop, and maintain interactive dashboards, scorecards, and reports using Power BI and Tableau.
• Build and optimize Power BI semantic models and Tableau data sources to support business reporting and analytics needs.
• Develop advanced DAX measures and Power Query transformations for data preparation and analysis.
• Troubleshoot and resolve data model, report performance, and data quality issues.
• Design and maintain dimensional data models including fact and dimension tables.
• Analyze business data to identify trends, patterns, anomalies, and performance improvement opportunities.
• Develop KPI frameworks, metrics definitions, and executive reporting dashboards.
• Create meaningful visualizations and data stories that support business decision-making.
• Support self-service analytics initiatives by creating reusable datasets and governed reporting assets.
• Collaborate with data engineering teams to ensure data is accurate, complete, and analytics-ready.
• Participate in BI deployments, report migrations, and environment management activities.
• Document BI solutions, data models, reporting processes, and business definitions.

BI Developer

Analytics Engineer

• Design, build, and operate scalable Extract, Transform, Load / Extract, Load, Transform (ETL/ELT) data pipelines (batch and real-time) to ingest, transform, and load data from multiple sources.
• Engineer and maintain data platforms (data lakes and data warehouses) with strong reliability, availability, and operational resilience.
• Implement system integrations using Application Programming Interfaces (APIs), streaming, and enterprise data integration tools to ensure consistent end-to-end data flows.
• Apply Apache Spark / Python for Spark (Spark/PySpark) and advanced Structured Query Language (SQL) for large-scale processing, optimization, and perform data transformations.
• Embed data quality, governance, security, and regulatory controls across pipelines and datasets.
• Enable development and operations (DevOps) for data through Continuous Integration / Continuous Delivery (CI/CD), orchestration and scheduling, monitoring, troubleshooting, and production support.
• Hands-on expertise in Prophecy pipeline development and deployment, PySpark analysis, and PySpark pipeline engineering (build and release), alongside strong core software engineering fundamentals.

Data Engineer, Data Analyst

Data Analyst

• Analyze, profile and transform data from multiple source systems to support business and technology requirements.
• Develop SQL, PySpark and Alteryx-based data workflows for data extraction, transformation, validation and reconciliation.
• Work with business, data model and technology teams to define data mappings, critical data elements and reusable data assets.
• Perform data quality checks, schema analysis, data preparation and issue investigation to ensure data consistency and reliability.
• Prepare clear documentation including data mapping documents, technical designs, business requirements and process documentation.

Data Analyst, Alteryx

• Should have worked on Jira tickets creation/maintained/closed and update the tickets with delivery updates aligned to the delivery sprint cadence.
• Help to ensure L1 & L2 milestones are maintained, and statuses reflected in dashboards and monthly reporting
• Lead a highly skilled, multi-disciplinary team of consisting of data, analytics, technology and delivery professionals to deliver advanced data and analytics solutions
• Act as Lead DA and Pod Lead for teams to deliver business use cases on a global scale and deploying locally.
• Coordinate the deployment of global initiatives into markets.
• Working closely with data, analytics and technology teams across the business, shape solution designs which meets business needs as well as aligning to the broader strategic Data & Analytics objectives
• Work directly with various stakeholders across multiple geographies, such as technical discipline leads, data scientists, data engineers and data analysts to produce accurate delivery estimates and manage the transition from analysis to successful delivery.
• Define Agile project working approach and enforce all team members to follow the same methodology.
• Ensure awareness, involvement and support from key stakeholders by building strong pod teams and maintaining robust communications on the project status throughout its lifecycle.
• Ensure risks and issues are identified, managed closely and remove project blockers from the team.
• Make key decisions to ensure the successful implementation of all initiatives.
• Supporting the delivery production line such as definition, implementation and testing and ensuring deliverables meet business requirements and are fit for purpose.
• Drive all stakeholders to deliver on time and to the required quality standards.
• Ensures cross-team delivery plans exist which represent an achievable commitment based on the capacity of available resource and consideration of internal and external dependencies.

Lead Data Analyst

Actuary

Life Actuarial Resources – B2

• Perform reserve analysis and rate filing calculations.
• Prepare state-specific DOI filing indications and reports.
• Support rate reviews, filings, objections, and regulatory compliance.
• Analyze market trends, underwriting actions, and pricing impacts.
• Develop and improve pricing/rate-filing models and tools.
• Prepare documentation, presentations, forecasts, and audit support

Actuarial Analyst

Full-stack Engineer

• Develop and implement cognitive computing solutions
• Utilize AI and machine learning technologies
• Focus on complex algorithms and NLP

EXL