Director/Client Partner - Enterprise AI

Innodata Inc., Remote - United States +1

What you will do

Own the overall Enterprise AI account strategy, growth plan, pipeline, bookings, forecasting, and revenue performance.
Develop and execute account expansion strategies that uncover new opportunities across the client’s AI, Cloud, Data, Product, Engineering, Operations, and Trust & Safety organizations.
Build and maintain executive-level relationships with key stakeholders across the client’s ecosystem.
Identify, qualify, and close complex professional services and AI transformation engagements valued at $2M+ while contributing to long-term account growth.
Drive expansion into new production AI initiatives, including Generative AI, Agentic AI, AI evaluation, data engineering, analytics, and managed AI services.
Collaborate with solution architects, data scientists, engineering leaders, and delivery teams to design workshops, pilots, proofs of concept, and production-scale programs.
Position and cross-sell Innodata’s capabilities across AI-powered data engineering, GenAI application development, GenBI, RAG and context engineering, AI evaluation, HITL workflows, and managed production support.

Innodata Inc., Remote - United States +1

Own the overall Enterprise AI account strategy, growth plan, pipeline, bookings, forecasting, and revenue performance.
Develop and execute account expansion strategies that uncover new opportunities across the client’s AI, Cloud, Data, Product, Engineering, Operations, and Trust & Safety organizations.
Build and maintain executive-level relationships with key stakeholders across the client’s ecosystem.
Identify, qualify, and close complex professional services and AI transformation engagements valued at $2M+ while contributing to long-term account growth.
Drive expansion into new production AI initiatives, including Generative AI, Agentic AI, AI evaluation, data engineering, analytics, and managed AI services.
Collaborate with solution architects, data scientists, engineering leaders, and delivery teams to design workshops, pilots, proofs of concept, and production-scale programs.
Position and cross-sell Innodata’s capabilities across AI-powered data engineering, GenAI application development, GenBI, RAG and context engineering, AI evaluation, HITL workflows, and managed production support.