Technical Project Lead
Listed on 2026-01-23
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IT/Tech
Data Analyst, Data Engineer
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Job Description - Technical Project Lead (ITO097974) Technical Project Lead - ITO
097974
Ready to build the future with AI?
At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform m large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on Linked In, X, You Tube, and Facebook.
Inviting applications for the role of Technical Project Lead
Skills –Genpact LLC seeks Technical Project Lead (multiple positions) in New York, NY to manage and lead project team and coordinate efforts with client team, serving as single point of contact. Provide technical direction and supervision to offshore team, review their deliverables, and keep track of progress. Define technical design and effort estimations using applicable estimation techniques and tools. Participate in review, comparison, and selection of new IT solutions.
Identify business needs and opportunities and manage the development of solutions to problems through discussions with client and other stakeholders. Gather and understand client functional requirements and convert them into technical deliverables for the teams to work on. Allocate resources and decide timelines required to accomplish goals of the project and customer expectations. Participate in daily scrum calls, participate in the creation of user stories, feasibility analysis, effort estimation, and prioritization of change requests.
Participate in the daily team calls and provide update to servicing project manager for incidents. Responsible for the design, development, testing, optimization, and maintenance of the full range of Business Intelligence (BI) reporting solutions, including the analysis, design, development, and deployment of BI data models, dashboards, reports, and subject areas. Collaborate with the architecture and data analyst team to understand the business requirement and translate them into data models.
Prepare, maintain, and publish data model diagrams, dictionaries, scripts, and metadata files in accordance with project methodology and collaboration guidelines. Implement, test, and maintain logical and physical models for reporting and analytical databases and tune reports, loaders, table design, indexes, and stored procedures to deliver required performance. Design and develop complex SAP HANA views, SQL queries, PL/SQL stored procedures, functions tables, views, and ETL packages in support of large management reporting requirements using Oracle Databases, Informatica, and SAP BO, among others, to facilitate business decision making using critical data insights using Tableau.
Create technical programming specifications from business documents, create internal program documentation, and participate in code reviews. Develop BI reports and dashboards utilizing industry best practices and UI standards. Guide and mentor organization with best practices in report and dashboard design and development. Assist in the ongoing development of technical best practices for data movement, data quality, data cleansing, and other ETL-related activities.
Create automated processes to validate and translate data into our in-house data warehouses.…
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