Director / Client Partner - Information Services, Enterprise AI
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InnodataInformation Services, Enterprise AI
Remote - United StatesFull-TimeDirector
Salary170,000 - 190,000 USD per year
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Job Details
- Experience
- 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.
- Required Skills
- AWSData engineering
Requirements
- Bring 10+ years of experience in enterprise technology, AI/ML, information services, content technologies, data engineering, cloud solutions, digital transformation, or strategic account management.
- Have 5+ years of experience managing and growing large strategic accounts in Information Services, Publishing, Research, Legal, Regulatory, or knowledge-driven organizations.
- Demonstrate a track record of expanding enterprise relationships and closing complex services engagements valued at $2M+.
- Have experience selling AI, data engineering, content modernization, enterprise search, knowledge management, analytics, cloud, digital transformation, or managed services solutions.
- Demonstrate executive presence and the ability to engage senior business and technical leaders.
- Bring expertise in account planning, opportunity qualification, forecasting, and complex commercial negotiations.
- Be able to navigate stakeholders across Product, Technology, AI/ML, Content Operations, Research, Data, Procurement, and executive leadership.
- Hold a bachelor's degree; an MBA or master's degree is preferred.
- Working knowledge of Enterprise AI technologies such as RAG architectures, enterprise search, document intelligence, knowledge management platforms, and workflow automation is preferred.
- Experience with Agentic AI, Generative AI, AI evaluation frameworks, data engineering programs, or managed AI operations is preferred.
- Familiarity with AWS, Azure, Google Cloud Platform (GCP), Databricks, Snowflake, and related cloud and data ecosystems is preferred.
Responsibilities
- Own account strategy, growth plans, pipeline, bookings, forecasting, and revenue performance for strategic Information Services customers.
- Develop and execute account expansion strategies across publishing, research, legal, regulatory, and information services organizations.
- Build and maintain executive-level relationships 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 Generative AI, Agentic AI, enterprise search, knowledge management, document intelligence, and workflow automation initiatives.
- Collaborate with solution architects, AI specialists, engineering leaders, and delivery teams to shape customer solutions and transformation programs.
- Position and cross-sell Innodata capabilities in 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.
- Represent the voice of the customer internally to help shape Enterprise AI offerings and go-to-market strategy.
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