Lingaro

• Develop and customize Power Apps canvas and model-driven applications according to business requirements. • Develop of complex Power BI solutions leveraging different backend tools • Design and implement user interfaces, forms, and workflows using Power Apps. • Integrate Power Apps solutions with other Microsoft tools and services such as SharePoint, Dataverse, Power Automate, and Power BI. • Troubleshoot and resolve issues related to Power Apps applications, including performance, scalability, and data integrity. • Stay updated with the latest trends and best practices in Power Apps development and Microsoft Power Platform. • Provide technical guidance and support to end-users and other team members. • Lead the design and architecture of technical solutions for Business iIntelligence reporting. • Review and approve technical designs and ensure adherence to technical quality criteria. • Confirm that delivered solutions meet technical quality criteria, including code quality, security, performance, and scalability. • Conduct regular code reviews and provide feedback to ensure adherence to best development practices. • Participate in project planning and estimation activities. • Communicate technical aspects of the solution to stakeholders and customers in a clear and concise manner.

• Design and implement complex PBI dashboards and reporting solutions. • Develop and optimize Looker reports and data models. • Utilize Google BigQuery and other GCP services for backend development, ETL processes, and data integration. • Review and approve technical designs, ensuring compliance with quality standards (code quality, security, performance). • Conduct code reviews and mentor team members to enhance technical skills. • Coordinate with backend and frontend BI developers during solution implementation. • Work closely with Project Managers and Business Analysts to align technical solutions with business requirements. • Communicate technical aspects clearly to stakeholders and customers. • Stay updated on BI trends and emerging technologies. • Share knowledge through training sessions, workshops, and documentation.

• You will be a part of the team accountable for design, model and development of whole AWS data ecosystem for one of our Client’s. • Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients. • Modelling the data from various sources and technologies. Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities. • Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency. • Identifying and resolving issues related to data processing, storage, or infrastructure. Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations. • Train and mentor less experienced data engineers, providing guidance and knowledge transfer.

• Server-side development: designing, developing, and maintaining the server-side logic of web applications. Implementing scalable and efficient server-side components and APIs • Database management: working with relational and/or NoSQL databases to store and retrieve data efficiently. Designing and optimizing database schemas for performance and scalability • API Integration: integrating third-party APIs and web services to enhance application functionality. Developing custom APIs to facilitate communication between front-end and back-end systems • Security: implementing security best practices to protect against common web application vulnerabilities. Conducting regular security audits and implement necessary measures • Optimization: optimizing server-side code for maximum speed and scalability. Monitoring and troubleshooting performance issues • Collaborating with front-end developers, UI/UX designers, and other team members to ensure seamless integration of components • Version control: using version control systems (e.g., Git) to manage and track changes to the codebase • Testing and debugging: conducting thorough testing of server-side components to identify and fix bugs. Collaborating with QA engineers for comprehensive testing • Creating and maintaining clear and comprehensive documentation for back-end systems and APIs

• Be a trusted guide and mentor to a group of consultants, helping them unlock their potential and navigate their career paths. • Combine technical expertise with people leadership to create a thriving, motivated, and high-performing team. • Lead regular 1-on-1 sessions to support growth, solve challenges, and inspire progress. • Co-create personalized development plans and help team members reach their next milestones. • Identify and champion talent ready for the next step. • Summarize and deliver meaningful feedback that drives improvement and confidence. • Foster a positive and inclusive team culture as a culture champion. • Spark motivation and build strong team spirit through authentic leadership and support. • Advocate change, helping the team embrace transformation initiatives and AI-powered solutions. • Cascade key organizational updates and ensure alignment across the team. • Provide technical guidance and problem-solving in complex project scenarios. • Negotiate Service Level Agreements and ensure they are met. • Monitor and report on service levels.

• Recruit, lead and support your high-performing team in day-to-day activities while setting clear, achievable goals. • Act as a role model by promoting integrity and living our core values every day. • Support your team members’ growth by providing regular recognition and constructive feedback. • Build strong partnerships with other Team Leaders and Delivery teams to ensure smooth project execution and effective resource allocation. • Communicate and implement company-wide processes and guidelines. • Define, shape, and optimize the structure of your team. • Manage team billability and ensure capacity and skill sets align with business needs and demand forecasts. • Collaborate with Site Leadership, ensuring talent is sourced from appropriate locations in line with geo strategy. • Help team members to achieve high customer satisfaction on their tasks. • Developing and maintaining team operating rhythm • Support DS&AI Competency strategy implementation. • Develop India site strategy • Proactively participate in improving competency unit in Lingaro, by leading initiatives, taking part in leaders discussions • Support Account teams in sharing knowledge about DS&AI scope, support meeting customer demand and engage closely with Go-to-market and Account Delivery Management to understand customer expectations. • Collaborate with Delivery on offers effort estimation and costing • Help Team Members to search for new opportunities, take responsibility for some presales processes. • Support offers and presentations (e.g., success stories) preparation. • Ensuring profitability on a team at and individual level • Be able to work as data scientist on development project in area of (one of the following) Data Science: Forecasting and Time Series, Optimization, Machine Learning, AI Engineering or GenAI • Especially: advising on the DS&AI/ genAI architectures, best practices, concepts etc. Assuring technical quality and excellence in architecture. • Researching and preparing solutions for common DS/ML projects problems, defining the guidelines for team members and the whole competency. • Be able to take Project Manager /Tech Leader role when needed. • Being up-to-date with DS/AI/ML and AI market trends.

• Support the development of our Supply Chain Analytics offering, with a focus on business planning, forecasting, inventory optimization, demand planning, and procurement-related analytics. • Help shape selected solution areas, reusable assets, and accelerators, such as demand forecasting models, inventory dashboards, planning insights, or supply chain performance monitoring tools. • Contribute to the roadmap for your domain area, aligned with broader practice priorities, go-to-market direction, and partner strategy. • Identify opportunities to improve or extend our existing offerings based on market trends, client needs, and lessons learned from delivery. • Participate in client conversations, discovery workshops, and business needs assessments, especially around planning, forecasting, inventory, and procurement. • Translate client challenges into analytics use cases, solution concepts, and practical implementation approaches. • Participate in proposals creations, RFIs, RFPs, scoping, estimations, and solution design activities. • Work closely with data, AI, cloud, and delivery teams to shape solution blueprints that connect business value, analytics design, implementation, and adoption. • Act as a subject matter expert during solution development and delivery, providing guidance on supply chain processes, planning logic, inventory metrics, and business adoption. • Support project teams in designing solutions that are practical, scalable, and relevant for planners, supply chain managers, and operational stakeholders. • Help ensure that delivered solutions are adopted by users and connected to measurable business outcomes. • Capture learnings from delivered projects and client feedback to improve future solution design and reusable assets. • Manage, mentor, or coordinate consultants and specialists working within your domain area or project stream. • Share knowledge and best practices related to supply chain planning, forecasting, inventory optimization, and analytics. • Contribute to internal playbooks, use-case libraries, reference materials, and training activities. • Foster collaboration across consulting, data, AI, and delivery teams. • Support the development of joint offerings and field plays with technology partners, such as cloud platforms, data platforms, and supply chain technology providers. • Contribute to thought leadership activities, such as webinars, client materials, internal knowledge-sharing sessions, or articles. • Stay up to date with relevant trends in supply chain analytics, planning technology, AI-enabled forecasting, and inventory optimization.

• Support the development of our Supply Chain Analytics offering, with a focus on business planning, forecasting, inventory optimization, demand planning, and procurement-related analytics. • Help shape selected solution areas, reusable assets, and accelerators, such as demand forecasting models, inventory dashboards, planning insights, or supply chain performance monitoring tools. • Contribute to the roadmap for your domain area, aligned with broader practice priorities, go-to-market direction, and partner strategy. • Identify opportunities to improve or extend our existing offerings based on market trends, client needs, and lessons learned from delivery. • Participate in client conversations, discovery workshops, and business needs assessments, especially around planning, forecasting, inventory, and procurement. • Translate client challenges into analytics use cases, solution concepts, and practical implementation approaches. • Participate in proposals creations, RFIs, RFPs, scoping, estimations, and solution design activities. • Work closely with data, AI, cloud, and delivery teams to shape solution blueprints that connect business value, analytics design, implementation, and adoption. • Act as a subject matter expert during solution development and delivery, providing guidance on supply chain processes, planning logic, inventory metrics, and business adoption. • Support project teams in designing solutions that are practical, scalable, and relevant for planners, supply chain managers, and operational stakeholders. • Help ensure that delivered solutions are adopted by users and connected to measurable business outcomes. • Capture learnings from delivered projects and client feedback to improve future solution design and reusable assets. • Manage, mentor, or coordinate consultants and specialists working within your domain area or project stream. • Share knowledge and best practices related to supply chain planning, forecasting, inventory optimization, and analytics. • Contribute to internal playbooks, use-case libraries, reference materials, and training activities. • Foster collaboration across consulting, data, AI, and delivery teams. • Support the development of joint offerings and field plays with technology partners, such as cloud platforms, data platforms, and supply chain technology providers. • Contribute to thought leadership activities, such as webinars, client materials, internal knowledge-sharing sessions, or articles. • Stay up to date with relevant trends in supply chain analytics, planning technology, AI-enabled forecasting, and inventory optimization.

• You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery) • Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed. The role will include direct contact with clients. • Modelling the data from various sources and technologies. Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities. • Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency. • Identifying and resolving issues related to data processing, storage, or infrastructure. Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations. • Train and mentor less experienced data engineers, providing guidance and knowledge transfer

• Support end-to-end presales activities for Supply Chain transformation and technology engagements. • Contribute to RFP/RFI responses, proposal development, solution narratives, effort estimates, assumptions, and delivery approaches. • Work with sales, practice leadership, solution architects, and delivery teams to develop compelling client proposals. • Create client-facing presentations, solution decks, offering materials, business case documents, and executive-level discussion materials. • Participate in client meetings, discovery workshops, demos, and solution walkthroughs. • Lead or support requirements gathering sessions with client business stakeholders. • Analyze current-state business processes, identify gaps, pain points, risks, and opportunities for improvement. • Translate business needs into functional requirements, user stories, process flows, business rules, and solution specifications. • Conduct fit-gap analysis between business requirements and technology platform capabilities. • Collaborate with solution architects and technical teams to design supply chain planning and execution solutions powered by data & analytics. • Define KPIs, dashboards, reports, and analytics requirements for supply chain visibility and decision-making. • Build relationships with client stakeholders across business, IT, operations, and leadership teams.