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Director​/Client Partner - Information Services, Enterprise AI

Remote / Online - Candidates ideally in
Ridgefield Park, Bergen County, New Jersey, 07660, USA
Listing for: Innodata
Remote/Work from Home position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    AI Business & Operations, IT / Software Sales, AI Engineer (Applied/Software), Technical Sales
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Remote - United States

Innodata(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.

Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted  provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted  provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters.

In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role

The Information Services industry is undergoing rapid transformation as organizations look to leverage Artificial Intelligence to modernize knowledge management, content operations, research workflows, and customer experiences. Leading publishers, information providers, legal and regulatory organizations, and research institutions are investing heavily in Enterprise AI initiatives to unlock the value of their content, data, and expertise.

Innodata is at the forefront of that transformation. We are seeking a Director / Client Partner to drive growth and deepen strategic relationships within the Information Services sector. This is a senior leadership role focused on expanding revenue, identifying new opportunities, and building executive-level partnerships with some of the world's leading information and knowledge organizations.

You will own account strategy, business development, executive engagement, and revenue growth across a portfolio of strategic accounts. Working closely with Innodata's AI, engineering, and delivery teams, you will help customers design and implement Enterprise AI solutions that drive measurable business outcomes. Your success will be measured by your ability to grow existing relationships, create new opportunities, and establish Innodata as a trusted AI transformation partner within the Information Services ecosystem.

What

You'll Own:
  • Own the overall account strategy, growth plan, pipeline, bookings, forecasting, and revenue performance for strategic Information Services customers.
  • Develop and execute account expansion strategies that uncover new opportunities across publishing, research, legal, regulatory, and information services organizations.
  • Build and maintain executive-level relationships with key stakeholders across business, technology, content, research, and operations functions.
  • Identify, qualify, and close complex Enterprise AI, data engineering, digital transformation, and managed services engagements.
  • Drive expansion into new AI initiatives including Generative AI, Agentic AI, enterprise search, knowledge management, document intelligence, and workflow automation.
  • Collaborate with solution architects, AI specialists, engineering leaders, and delivery teams to shape customer solutions and transformation programs.
  • Position and cross-sell Innodata's capabilities across AI-powered data engineering, document processing, GenBI, enterprise knowledge solutions, RAG and context engineering, AI evaluation, HITL workflows, and managed AI operations.
  • Lead commercial negotiations, proposal…
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