Enterprise AI Growth Leader — Information Services

OpenKrill

United States

Remote

USD 170,000 - 190,000

Full time

3 days ago

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Job summary

Innodata, a global data engineering leader, seeks a Director / Client Partner to drive growth and deepen executive-level partnerships within the Information Services sector in the United States. You will own strategy, revenue growth, and cross-functional collaboration with AI, engineering, and delivery teams to implement enterprise AI solutions that deliver measurable business outcomes.

You will lead opportunities across Generative AI, enterprise search, knowledge management, and data

Qualifications

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 managing large strategic accounts within Information Services, Publishing, Research, Legal, Regulatory, or knowledge-driven organizations.
Proven track record of expanding enterprise relationships and closing services engagements valued at $2M+.
Experience selling AI, data engineering, content modernization, enterprise search, knowledge management, analytics, cloud, digital transformation, or managed services solutions.
Bachelor's degree required; MBA or Master's preferred.
Strong executive presence and ability to engage senior leaders across business and technical organizations.
Expertise in account planning, forecasting, and complex commercial negotiations.
Ability to navigate multiple stakeholder groups including Product, Technology, AI/ML, Content Operations, Research, Data, Procurement, and executive leadership.
Existing relationships within leading Information Services, Publishing, Legal, Regulatory, Research, or Professional Information organizations (preferred).

Responsibilities

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.