Director, Client Partner – Information Services, Enterprise AI

Job not on LinkedIn

🔥 19 hours ago

🇺🇸 United States – Remote

💵 $170k - $190k / year

⏰ Full Time

🔴 Lead

🤝 Client Partner

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• 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

• 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