Business Development Executive 3
Genpact
- Location
- 3409-G LLC: New York City
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 63 approvals (FY2023)
- Posted
- Aug 31, 2026
Skills
About this role
Business Development Executive Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook .
Job Description
Inviting applications for the role of Director - Data & AI Retail In this role you will be responsible to work alongside a specialized group of sellers to grow Data & AI business across new and existing clients. This includes client relationship management identifying opportunities to grow data & AI services support sales enablement conceptualizing data & AI solutions and execution plan for our clients. You will function as an Assistant Vice President for Data & AI practice and liaise with global solutions and delivery team solutions design client presentations and solution delivery. This is a specialized high impact role requiring deep experience within the Retail Industry combined with Data & AI expertise. You will be working as trusted advisor to C-suite and key decision makers across our retail portfolio You will be expected to have deep experience within the Retail industry and pain points and know how to solve these using Data AI and technology. Responsibilities: - Be the primary point of contact for all Data & AI deals for the assigned Accounts. - Work with the broader sales Advisory & Account teams for developing strategy to grow Data & AI footprint across offerings collaborate with solutions and delivery to come up with plan that meet the business needs of clients - Responsible for Data & AI Client Relationship management for Flagship Retail accounts grow the book of business partner with sales and account management team to take up data & AI offerings for clients - Work in partnership with sales teams to develop and design Data & AI based solutions to solve business problems across the Retail value chain - Proactively create identify and develop opportunities for Gen AI/AI solutions. - Provide domain and digital solution expertise and support to internal teams including participation in RFI RFP proactive bids customer-facing envisioning sessions/demonstrations assessments and workshops. - Collaborate with other cross functionals Genpacts team to assess and scope new opportunities (Analytics Tech Experience Digital delivery etc.) - Own revenue and bookings targets for dedicated Data AI industry segment and maintain up to date revenue forecasts - Own delivery estimations solutioning and pricing for proposed client solutions and working closely with Genpact and client is legal in the creation and review of customer commercial agreements License SOW Change requests etc. - Partner with assigned sales team to create the ideal winning proposal and execute on all presentations submissions team creation and related internal approval processes - Identify opportunities around new technologies and scalable data opportunities