Director, Client Partner – Information Services, Enterprise AI

InnoData

. Own account strategy, growth plans, pipeline, bookings, forecasting, and revenue performance for strategic Information Services customers .

Posted 10/13/2026full-timeRemote • United StatesLead💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in account strategy, growth planning, and complex commercial negotiations within the Information Services sector. Proven ability to drive enterprise AI initiatives and build executive-level relationships across diverse stakeholder groups.

Highest-signal resume keywords

Enterprise AI SolutionsAccount ManagementComplex Commercial NegotiationsData EngineeringDigital Transformation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/MLAccount PlanningOpportunity QualificationForecastingComplex Services EngagementsContent ModernizationAnalyticsKnowledge ManagementDocument IntelligenceWorkflow Automation

Soft Skills

Executive PresenceRelationship BuildingCollaboration

Tools & Technologies

AWSAzureGoogle Cloud PlatformDatabricksSnowflake

Certifications & Qualifications

Bachelor's DegreeMBA or Master's Degree Preferred

Industry Keywords

Information ServicesPublishingResearchLegalRegulatory

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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 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
Build multi-threaded account presence across technical, business, procurement, and executive teams
Represent customer needs internally and help shape Enterprise AI offerings and go-to-market strategy

Requirements

What you’ll need

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
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 ability to engage senior leaders across business and technical organizations
Expertise in account planning, opportunity qualification, forecasting, and complex commercial negotiations
Ability to navigate Product, Technology, AI/ML, Content Operations, Research, Data, Procurement, and executive leadership stakeholder groups
Bachelor's degree required; MBA or Master's degree preferred
Existing relationships within leading Information Services, Publishing, Legal, Regulatory, Research, or Professional Information organizations
Working knowledge of 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 AWS, Azure, Google Cloud Platform, Databricks, Snowflake, and related technologies
Experience converting delivery engagements into larger transformation programs and recurring managed-services revenue streams