Director/Client Partner - Information Services, Enterprise AI

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 at scale. We 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.

Director / Client Partner - Information Services, Enterprise AI

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 at scale. We 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 development, opportunity qualification, and contract discussions with senior stakeholders.
• Build a multi-threaded account presence across technical, business, procurement, and executive teams to accelerate growth and strengthen strategic partnerships.
• Serve as the voice of the customer internally, helping shape Innodata 's Enterprise AI offerings and long-term go-to-market strategy.
• You'll Thrive in This Role If You Have:

10+ years of experience in enterprise technology, AI/ML, information services, content technologies, data engineering, cloud solutions, digital transformation, or strategic account management.

5+ years of experience managing and growing large strategic accounts within Information Services, Publishing, Research, Legal, Regulatory, or knowledge-driven organizations.

A demonstrated track record of expanding enterprise relationships and closing complex services engagements valued at $2M+.

Experience selling AI, data engineering, content modernization, enterprise search, knowledge management, analytics, cloud, digital transformation, or managed services solutions.

Strong executive presence and the ability to engage senior leaders across business and technical organizations.

Expertise in account planning, opportunity qualification, forecasting, and complex commercial negotiations.

The ability to navigate multiple stakeholder groups including Product, Technology, AI/ML, Content Operations, Research, Data, Procurement, and executive leadership.

A Bachelor's degree is required; an MBA or Master's degree is preferred.

Preferred Qualifications:

• Existing relationships within leading Information Services, Publishing, Legal, Regulatory, Research, or Professional Information organizations.
• Prior experience selling AI, engineering, consulting, content technology, or managed services solutions into Information Services enterprises.

Working knowledge of Enterprise AI technologies including RAG architectures, enterprise search, document intelligence, knowledge management platforms, and workflow automation solutions.

• Experience with Agentic AI, Generative AI, AI evaluation frameworks, data engineering programs, or managed AI operations.
• Familiarity with modern cloud and data ecosystems including AWS, Azure, Google Cloud Platform (GCP), Databricks, Snowflake, and related technologies.
• Experience converting existing delivery engagements into larger transformation programs and recurring managed-services revenue streams.
• The expected salary range for this position is $170,000 - $190,000 USD p/year, based on experience, skills, and qualifications.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at

• If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at and consider reporting it to the FTC at .
• Originally posted on Himalayas