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Job Description:

We are seeking a highly experienced Lead Data Scientist to define and drive the data science strategy across predictive analytics, promotion simulation, consumer trend modeling, and computer vision initiatives. This role involves leading the design, development, and deployment of advanced AI and machine learning solutions that enable data-driven decision-making across marketing, sales, and innovation functions. The ideal candidate is a hands-on leader who can balance strategic direction with technical depth — mentoring the team while delivering production-grade models that generate measurable business impact. Role Focus:

• Define and oversee modeling frameworks for forecasting, consumer analytics, and computer vision.
• Translate complex business challenges into scalable data science solutions.
• Build, validate, and optimize predictive and simulation models for demand forecasting and promotion impact.
• Lead the design of AI-based applications including image recognition, trend detection, and innovation analytics.
• Ensure strong MLOps, model governance, and data quality practices.
• Partner with stakeholders across marketing, technology, and operations to integrate models into business workflows.

Key Skills & Responsibilities

• Advanced Machine Learning & AI: Proficiency in regression, classification, clustering, NLP, and computer vision models
• Predictive Modeling: Expertise in forecasting, time-series (ARIMA, Prophet, LSTM), and causal inference.
•  Promotion & Consumer Analytics: Experience developing simulation models for pricing, promotions, and ROI analysis.
•  Computer Vision: Hands-on with OpenCV, YOLO, or Detectron2 for visual analytics, shelf detection, and product recognition.
•  Technical Proficiency: Strong coding skills in Python/R, SQL, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
•  MLOps & Deployment: Skilled in Azure ML, Databricks, or AWS SageMaker for scalable model deployment and monitoring.
•  Visualization: Strong data storytelling abilities using Power BI or Tableau.
•  Leadership: Mentor junior data scientists, establish best practices, and ensure alignment with business goals.

Additional Qualities

• Excellent analytical and strategic thinking skills.
•  Proven ability to deliver end-to-end AI projects in complex environments.
•  Strong communication and stakeholder management capabilities.
• Passion for leveraging AI/ML to solve real-world business challenges.

Preferred Experience

• 8–12 years of experience in data science, including leadership or mentoring responsibilities.
• Experience in predictive analytics, consumer insights, or computer vision projects.
•  Exposure to marketing mix modeling, A/B testing, and campaign optimization.
• Familiarity with cloud data ecosystems (Azure, AWS, GCP) and CI/CD for ML pipelines.

Job Description:

Power BI Developer – Business Intelligence Team

Role Focus:
Design, develop, and optimize Power BI dashboards and SQL-based data models to deliver actionable insights across business functions. Collaborate with stakeholders and data teams to enhance reporting efficiency and accuracy.

Key Skills & Experience

• Power BI Development

• Build, publish, and optimize Power BI dashboards and data models.
• Strong in DAX, data modeling, and performance tuning.
• Implement row-level security and visualization best practices.

• SQL Development

• Write efficient SQL queries for data extraction and transformation.
• Experience with data warehousing and dimensional modeling.
• Work on performance optimization and query tuning.

• Data Integration & Governance

• Work with Azure SQL, Synapse, SAP/BW, and APIs.
• Ensure data accuracy, consistency, and security in reports.

• Collaboration & Analysis

• Partner with business teams to define KPIs and metrics.
• Translate requirements into meaningful, automated dashboards.

Additional Qualities

• Strong analytical and problem-solving mindset.
• Excellent communication and teamwork skills.
• Passion for continuous learning in BI tools and Azure data technologies.

Preferred Experience

• 3–7 years in Business Intelligence or Data Analytics.
• Hands-on with Power BI, SQL, and Azure data services.
• Exposure to SAP/BW, Databricks, or enterprise-scale BI projects preferred.

Job Description: 

End-to-End Testing Engineer – Life Insurance Domain

About the Role

We are seeking skilled End-to-End Testing Engineers with strong expertise in the Life Insurance domain. The role involves testing across multiple systems—new business systems, admin systems, downstream systems, and online platforms—to ensure seamless policy validation and end-to-end process coverage.

Key Responsibilities

• Develop and execute test strategies, test plans, and test cases for life insurance applications.
• Perform end-to-end testing across multiple systems including:
  • Aegis, ELE, nbA, SmartFix, Life70 (Admin System)
  • Andesa, COIL, downstream systems (commissions, online portals like CHBM)
• Conduct functional and system testing for:
  • New business functions
  • Admin system functions
  • ASL check system
  • Proposal/Aegie testing
  • Post level term validations
• Collaborate with cross-functional teams to ensure comprehensive test coverage.
• Report, track, and verify defects to closure.

Required Skills & Technologies

• Automation & Functional Testing Tools: Selenium, Postman, UI Path (RPA)
• Programming & Scripting: Python, SQL
• Testing Areas: API, ETL, Mainframe, Database Testing
• Databases: Oracle
• Strong understanding of Life Insurance ecosystem and related systems

Domain Knowledge

• In-depth knowledge of Life Insurance products and processes
• Experience in policy lifecycle testing (new business to admin & downstream functions)
•  

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field (preferred).
• 5+ years of experience in software testing, with focus on life insurance systems.
• Proven ability to work in an offshore model, aligning with US EST time zone.

Job Type: Full time (Remote)

Years of Exp: 6+ Years

Job Description

Key Responsibilities:

• Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI.
• Implementing AI models: This involves building and integrating AI models into existing systems and applications.
• Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
• Data preprocessing and analysis: This involves preparing data for use in AI models.
• Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.
• Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.
• Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.
• Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.

Required Skills:

• Strong programming skills in Python: Python is the preferred language for AI development.
• Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.
• Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.
• Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
• Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.
• Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.
• Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.

Optional Skills:

• Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models.
• Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner.
• Experience with DevOps practices: This can help with automating the development and deployment of AI models.

Job Type: Full Time, (WFO)
Years of Experience: 5 - 10 Years

Job Description:

We are seeking skilled .NET Full Stack Developers who can work as individual contributors in a fast-paced, collaborative environment. The ideal candidate should possess strong technical skills in .NET, Angular, and SQL, with the ability to deliver end-to-end solutions independently.

Role Focus:

Design, develop, and maintain scalable web applications using modern .NET and Angular frameworks. Ensure high-quality code, performance optimization, and seamless integration with backend systems.

Key Skills & Experience

• Core Technologies: .NET Core / ASP.NET, Angular (v2 or above, preferably latest), and SQL Server.
  • Frontend Development: Expertise in HTML5, CSS3, JavaScript/TypeScript, and responsive design principles.
  • Backend Development: Experience with RESTful APIs, Entity Framework, LINQ, and microservices.
  • Database Skills: Strong SQL query writing, stored procedures, performance tuning, and normalization.
  • Version Control: Hands-on with Git or Azure DevOps.
  • Deployment: Familiarity with CI/CD pipelines, Docker, or Azure Cloud preferred.

Additional Qualities

• Ability to work independently with minimal supervision.
  • Strong problem-solving and debugging skills.
  • Good communication skills and stakeholder collaboration.
  • Passion for learning and adapting to new technologies.

Preferred Experience

• 5–10 years of professional experience in full stack development.
  • Prior experience with Agile/Scrum methodologies.
  • Exposure to modern cloud ecosystems like Azure or AWS.

Job Type: Full Time (WFO) Years of Experience: 2–6 Years Job Description: We are looking for a QA Engineer with balanced expertise in Manual and Automation Testing, capable of working independently on test planning, execution, and reporting. Role Focus: Design and execute test cases for web and API applications, automate regression suites, and ensure product quality through continuous validation and improvement. Key Skills & Experience

• Manual Testing: Functional, Integration, Regression, and UAT testing. • Automation Testing: Hands-on experience with Selenium, Postman, or similar tools. • API Testing: Experience with RESTful APIs using tools like Swagger, Postman, or JMeter. • Defect Tracking: Experience with Jira, Azure DevOps, or similar platforms. • Test Documentation: Creating detailed test cases, bug reports, and traceability matrices. • CI/CD & Version Control: Familiarity with Jenkins, Git, or Azure DevOps.

Additional Qualities

• Ability to work independently with ownership of deliverables. • Analytical mindset with attention to detail. • Strong written and verbal communication. • Collaborative attitude with developers and stakeholders.

Preferred Experience

• 2–6 years of QA experience in both Manual and Automation testing. • Exposure to testing web applications built on .NET and Angular. • Experience in Agile environments with short sprint cycles.

Job Type: Full Time (Remote)
Years of Experience: 8–12 Years

Job Description:

We are looking for an experienced SQL Lead to oversee database design, performance optimization, and data management initiatives. The candidate should have strong hands-on expertise in SQL, data modeling, and ETL processes, along with the ability to guide and mentor team members while being an individual contributor.

Role Focus:

Lead SQL development activities across multiple business functions, ensuring data reliability, scalability, and optimal query performance. Collaborate with cross-functional data, BI, and application teams to deliver high-quality, secure, and efficient data solutions.

Key Skills & Responsibilities

• Database Development: Design and optimize complex SQL queries, stored procedures, views, and functions.
  • Performance Tuning: Conduct query optimization, indexing, and partitioning to improve database performance.
  • Data Modeling: Design logical and physical data models for analytical and transactional systems.
  • ETL & Data Pipelines: Develop, maintain, and enhance ETL workflows using SSIS, Azure Data Factory, or similar tools.
  • Data Governance: Ensure data quality, integrity, and compliance with enterprise standards.
  • Collaboration: Work with BI, Data Science, and Application teams to support reporting and analytics needs.
  • Leadership: Mentor junior developers, review code, and establish best practices for database design and maintenance.
  • Cloud Integration: Experience with SQL on Azure (Azure SQL DB, Synapse, or Managed Instances) is a strong plus.

Additional Qualities

• Strong analytical and troubleshooting abilities.
  • Excellent communication and collaboration skills.
  • Ability to work independently and manage multiple priorities.
  • Passion for data optimization and continuous improvement.

Job Type: Full Time (WFO)
Years of Experience: 3–8 Years

Job Description:

We are looking for a skilled Power Apps Developer to design, develop, and maintain business applications using the Microsoft Power Platform. The ideal candidate will work as an individual contributor, building scalable and user-friendly solutions that integrate seamlessly with existing systems and business processes.

Role Focus:

Develop custom business applications using Power Apps (Canvas & Model-driven), automate workflows through Power Automate, and integrate with SharePoint, SQL, Dataverse, and other data sources to drive process efficiency.

Key Skills & Responsibilities

• App Development: Build and maintain Canvas and Model-driven Power Apps solutions.
  • Automation: Create and optimize workflows using Power Automate and Power BI integration.
  • Integration: Connect Power Apps with SharePoint, SQL Server, Dataverse, and APIs.
  • Customization: Design custom connectors, components, and responsive layouts.
  • Data Modeling: Design entity relationships, manage data validation, and implement business logic in Dataverse.
  • Performance Optimization: Ensure app efficiency, usability, and scalability.
  • Documentation: Maintain technical documentation, app guides, and deployment instructions.
  • Collaboration: Partner with business users to gather requirements and translate them into app solutions.

Additional Qualities

• Strong problem-solving and analytical mindset.
  • Excellent communication and presentation skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Continuous learner with passion for Microsoft Power Platform ecosystem.

Preferred Experience

• 3–8 years of total experience, with 2+ years in Power Platform development.
  • Hands-on experience with Power BI, Power Automate, and SharePoint Online.
  • Familiarity with Azure Logic Apps, Dataverse, and Microsoft Teams integration.
  • Exposure to PowerShell scripting or JavaScript for advanced customization.
  • Experience working in Agile delivery environments.

Job Type: Full Time, (WFO)
Years of Experience: 8–12 Years

Job Description:

We are seeking a highly experienced Lead Data Scientist to define and drive the data science strategy across predictive analytics, promotion simulation, consumer trend modeling, and computer vision initiatives. This role involves leading the design, development, and deployment of advanced AI and machine learning solutions that enable data-driven decision-making across marketing, sales, and innovation functions.

The ideal candidate is a hands-on leader who can balance strategic direction with technical depth — mentoring the team while delivering production-grade models that generate measurable business impact.

Role Focus:

• Define and oversee modeling frameworks for forecasting, consumer analytics, and computer vision.
• Translate complex business challenges into scalable data science solutions.
• Build, validate, and optimize predictive and simulation models for demand forecasting and promotion impact.
• Lead the design of AI-based applications including image recognition, trend detection, and innovation analytics.
• Ensure strong MLOps, model governance, and data quality practices.
• Partner with stakeholders across marketing, technology, and operations to integrate models into business workflows.

Key Skills & Responsibilities

• Advanced Machine Learning & AI: Proficiency in regression, classification, clustering, NLP, and computer vision models.
  • Predictive Modeling: Expertise in forecasting, time-series (ARIMA, Prophet, LSTM), and causal inference.
  • Promotion & Consumer Analytics: Experience developing simulation models for pricing, promotions, and ROI analysis.
  • Computer Vision: Hands-on with OpenCV, YOLO, or Detectron2 for visual analytics, shelf detection, and product recognition.
  • Technical Proficiency: Strong coding skills in Python/R, SQL, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • MLOps & Deployment: Skilled in Azure ML, Databricks, or AWS SageMaker for scalable model deployment and monitoring.
  • Visualization: Strong data storytelling abilities using Power BI or Tableau.
  • Leadership: Mentor junior data scientists, establish best practices, and ensure alignment with business goals.

Additional Qualities

• Excellent analytical and strategic thinking skills.
  • Proven ability to deliver end-to-end AI projects in complex environments.
  • Strong communication and stakeholder management capabilities.
  • Passion for leveraging AI/ML to solve real-world business challenges.

Preferred Experience

• 8–12 years of experience in data science, including leadership or mentoring responsibilities.
  • Experience in predictive analytics, consumer insights, or computer vision projects.
  • Exposure to marketing mix modeling, A/B testing, and campaign optimization.
  • Familiarity with cloud data ecosystems (Azure, AWS, GCP) and CI/CD for ML pipelines.

Job Type: Full time Years of Experience: 3 – 5 Years Job description:

• Mobile Sales Dashboard Delivery Specialist

   Role Focus:

  Delivery of Sales Dashboards with a focus on mobile experience, including Power BI Mobile and native mobile applications.

   Key Skills & Experience

  • UI/UX Design for Mobile Dashboards
    • Proven experience designing intuitive and visually appealing user interfaces for Power BI mobile dashboards and native mobile apps.
    • Strong understanding of mobile-specific UX patterns, navigation, and interaction principles.
    • Familiarity with the unique challenges and opportunities of delivering analytics on small screens.
  • Analytics Standards & Best Practices
    • Deep knowledge of analytics design standards, including effective use of color, typography, and data visualization for mobile consumption.
    • Ability to implement industry best practices for dashboard usability, accessibility, and performance on mobile devices.
  • Template and Framework Selection
    • Experience with identifying and applying best-suited mobile dashboard templates in Power BI and/or native app environments.
    • Capability to customize templates for various business needs while maintaining consistency and scalability.
  • Power BI Expertise
    • Hands-on expertise in creating, optimizing, and deploying Power BI reports specifically for mobile layout.
    • Understanding of Power BI Service features related to mobile delivery (e.g., bookmarks, drill-throughs, responsive design).
  • Native Mobile Application Delivery
    • Exposure to or collaboration with teams developing native mobile analytics apps (iOS/Android) is a plus.
    • Understanding integration points between Power BI and native mobile applications.
  • Sales Dashboard Requirements Gathering
    • Demonstrated ability to engage with functional CoEs to gather requirements for sales dashboards.
    • Experience translating sales KPIs, metrics, and workflows into actionable dashboard designs tailored for field or executive users.
  • AI Capabilities
  • Skilled in integrating AI-driven features into both Power BI dashboards and native applications.
  • Proficient in developing custom visuals and embedding analytical content using BI APIs.
  • Adept at collaborating with data science teams to translate complex model outputs into intuitive user interfaces that drive adoption and trust.
  • Demonstrates strong understanding of Agentic AI design principles, explainability in analytics UX, and accessibility standards.

   Additional Qualities

  • Strong communication skills to interact effectively with both technical teams and functional CoEs.
  • Analytical mindset with attention to detail in translating business needs into data-driven solutions.
  • Portfolio or examples of previous work delivering sales dashboards in a mobile context is highly desirable.

   Preferred Experience

  • Minimum 3–5 years in analytics/dashboard delivery with at least 2 years focused on mobile UI/UX.
  • Experience working on projects for FMCG, retail, or sales-driven organizations is a strong advantage.
  • Vendor or consulting background supporting cross-functional delivery teams.

Job Type: Full Time Years of Experience: 10-12 years Job Description:

• Proficient in Dynamics 365 Customer Engagement (Sales and Service).
• Hands-on experience with Dynamics 365 in both Online and On-Premises environments.
• Strong skills in C#, .NET, and JavaScript.
• Familiarity with MS SQL, CRM SDK, and MSD Developer Toolkit.
• Knowledgeable in SSRS (SQL Server Reporting Services).
• Expertise in integration architecture, covering REST, OData, WebAPI, Middleware Tools, and SSIS packages.
• Experience with Azure components for integration (ADF, Azure Service Bus, Azure Apps, Azure Functions, Azure Data Lake, etc.).
• Familiarity with Azure Active Directory and Azure DevOps.
• Proficiency in Power Apps and Power Automate for system integrations.
• Experience with data migration, analysis, mappings, and harmonization using both out-of-the-box (OOB) and third-party tools.
• Understanding of reporting architecture, including SSRS and Power BI.
• Experience with CRM instance management and cloud services.
• Utilize expertise in Dynamics 365 CE CRM to enhance project efficiency.
• Plan and establish Dynamics 365 Customer Engagement solutions, focusing on Sales and Service modules.
• Lead the design of architecture, configuration, and customization in Dynamics 365 CE.
• Provide technical insights and best practices for seamless system integration and data migration.
• Collaborate closely with diverse teams to gather and analyze business requirements.
• Respond to requests for proposals (RFPs) and quotes (RFQs) by formulating solution proposals that showcase potential outcomes.
• Lead technical workshops to translate business needs into practical architectural and development solutions.
• Develop and present proof of concepts (PoCs) to illustrate proposed solutions to clients.
• Ensure the technical success of Dynamics 365 CE projects, overseeing the process from pre-sales to delivery.
• Contribute to the development of scalable solutions aligned with the product roadmap.
• Stay abreast of the latest features in the Dynamics 365 platform, including Sales Insights, Customer Service Insights, and Customer Voice.
• Strong problem-solving and analytical skills.
• Ability to think independently and be solution-driven.
• Familiarity with agile methodologies.

Job Type: Full Time  

Years of Experience: 6+ Years  

Job Description:  

• Minimum 6 years of total experience as a software developer of complex software applications.  
• Strong hands-on experience in .NET software development of complex new software products.  
• Commendable experience in C#.
• Hands-on experience in building Custom JS plugins & PCF controls is added advantage. 
• Good experience with Microsoft Dynamics and CRM.  
• Experience working on MS D365 platform.  
• Hands-on Experience in building PowerApps Model Driven Solutions.  
• Required to have experience in building MS workflow & MS Power Automate.  
• Skilled with Data Verse & CDS systems.  
• Exposure to DevOps, CI/CD integration with the code base.  
• Coach and mentor, the junior development team at a technical level (code reviews, best practices, architecture guidance).  
• Coordinate and communicate with clients.  
• Develop documentation and development plans.  
• Participate in creating software estimates.  
• Collaborate to develop company-wide best practices and standard code components.  
• Support positive change and promote the innovative application of technology.  
• Participate in open communication and collaboration with your team, business partners, management, and other Information Technology personnel.  
• Evaluate and implement new Information Technology concepts and techniques, technical and industry developments, and services. 

Job Type: Full time 

Experience: 4+ years 

Job description: 

• 4 years of minimum experience in software development following best practices and coding standards, with a special focus on .NET Core is required. 
• Strong proficiency needed in C# and the .NET Core framework. 
• Write efficient, maintainable, and clean code in C# and other relevant technologies. Implement new features, make upgrades or enhancements and fix bugs to meet project goals. 
• Extensive experience with HTML, CSS, JavaScript and other front-end technologies. 
• Strong hold on database design and development, preferably with SQL Server or other relational databases. 
• Familiarity with agile development methodologies. 
• Ensuring scalability, high performance, and utmost security by contributing to the design and architecture of software systems. Collaborate with architects to define technical solutions. 
• Participate in code reviews and perform unit testing to ensure software quality. Ensuring and enhancing the reliability of applications through resolving software defects. 
• Exceptional problem-solving and analytical skills needed. 
• Strong interpersonal and communication skills required. Collaboratively work with cross-functional teams, including product managers, designers, and other developers, to gather and comprehend the requirements and ensure timely deliveries. 

Job Description:   Minimum of 8 years of proven experience as a Laravel Developer

• Knowledge of AWS services, including EC2 for deployment, S3 for storage
• Experience with MySQL or other relational databases
• Must be working with Eloquent ORM
• Knowledge of RESTful API development and integration
• Proficient in front-end technologies such as HTML, CSS, and JavaScript
• Must be familiar with JavaScript latest add-ons since ES6
• Knowledge of version control systems, such as Git and GitHub
• Experience with other PHP frameworks, such as Symfony or CodeIgniter
• Knowledge of common Design Patterns and Solid Principles
• Familiarity with front-end frameworks such as Livewire, Vue.js or React
• Familiarity with Tailwind CSS
• Proven experience with AWS and other cloud platforms
• Experience in developing and maintaining web applications using the latest version of Laravel framework
• Should know deployment of the application on AWS EC2
• Proficient in creating Unit test cases with PHP unit and Pest
• Skilled in creating CI/CD pipelines with GitHub actions
•  Awareness about implementation of caching servers with Redis
• Should know about setting up web servers with Apache/Nginx
• Proficiency in setting up a Laravel queue server with Supervisord is needed
• Good grip on designing and implementing database structures and schemas (Laravel migration, factory, and seeders)
• Collaborate with cross-functional teams to gather and define project requirements.
• Writing clean, efficient, and scalable code in PHP
• Troubleshoot and debug issues in existing applications
• Optimize application performance and ensure scalability
• Providing technical guidance and support to junior developers when required
• Stay up-to-date with industry trends and emerging technologies in Laravel development
• Should possess excellent problem-solving and analytical skills
• Strong attention to detail and should have the ability to meet deadlines
• Should possess effective communication and teamwork skills

Job Type: Full time  

Years of Experience: 5 - 7 years 

 

• Oversee the implementation of products for existing clients, including introducing new features or modifying existing ones.  
• Initiate client outreach to kick off the product implementation or migration process. 
• Present project plans to clients, detailing the modules to be implemented based on signed contracts. 
• Set clear client expectations and define the scope of product migration activities. 
• Educate teams on best practices during the product migration phase. 
• Manage all communication with clients, including conducting meetings and conference calls. 
• Coordinate and accurately report all migration-related activities under the supervision of the Program Manager. 
• Facilitate training needs, schedule client training sessions, and track completion. 
• Handle multiple projects concurrently, adhering to aggressive timelines. 
• Ensure timely project completion while mitigating risks. 
• Develop and manage detailed work plans, schedules, and client status reports. 
• Track and manage client product migration deliverables. 
• Collaborate with internal departments to address client requirements and resolve migration-related issues. 
• Successfully transition projects to the client services group for ongoing support. 
• Keep projects on track and within scope, proactively assessing and addressing any project issues. 
• Work with the team and management to develop resolutions, ensuring productivity, quality, and client satisfaction.