Engagement Manager (Consultant), Delivery

Location: Must reside in the USA. Role is 100% remote. Who we are:Innodata (NASDAQ: INOD) is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, highquality platforms. Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, Philippines, India, Sri Lanka, Israel, and Germany. Interested in joining us?About the Role We are seeking a consultative and delivery-focused Engagement Manager to serve as the primary interface between Innodata and our enterprise clients. This individual will be responsible for overseeing complex AI/ML data and content transformation engagements, ensuring delivery excellence while fostering long-term partnerships.This is a high-impact role ideal for someone who thrives at the intersection of client management, solution execution, and operational excellence.Key Responsibilities Serve as the main point of contact for assigned enterprise client engagementsBuild and maintain trusted advisor relationships with key client stakeholdersUnderstand client objectives and design delivery plans to align with their business goalsLead end-to-end project execution, from kickoff through final deliveryCoordinate cross-functional teams across global delivery hubsManage delivery workflows related to AI data preparation, annotation, enrichment, and digital content transformationDefine and monitor KPIs, SLAs, and delivery milestonesIdentify and address delivery risks, issues, and blockers proactivelyEnsure accurate and timely communication with clients regarding progress, changes, and expectationsTrack and manage scope, timeline, and budget across multiple workstreamsMaintain comprehensive documentation for all projects and client interactionsCollaborate with Sales, Solutions, Product, and Operations to align internal capabilities with client needsDrive continuous improvement in delivery processes and service modelsProvide strategic input on how clients can optimize AI workflows or digital operationsTranslate client feedback into actionable insights for internal teamsContribute to the development of new service offerings based on evolving client demandsRequirementsRequired Skills and Experience 5+ years of client delivery or program management experience in professional services, consulting, digital transformation, or AI/data servicesExperience managing enterprise-level clients and complex delivery engagementsStrong project management skills with familiarity in Agile, Scrum, or Waterfall methodologiesExcellent verbal and written communication skills, with the ability to present to executive-level stakeholdersAbility to manage multiple projects simultaneously in a fast-paced environmentExperience leading geographically distributed teamsUnderstanding of AI/ML data workflows, digital content processing, or knowledge managementPreferred Skills and Experience Experience in AI/ML data services, BPO, or technology consultingBackground in industries such as technology, healthcare, publishing, or financial servicesFamiliarity with annotation platforms, LLM workflows, or automation toolsPMP, CSM, or similar project management certificationMinimum Education Requirements Bachelor's degree in Computer Science, Engineering, Data Science, Project Management, or a related field (or equivalent work experience). Salary Range:$160,000-180,000Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace. We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate. Originally posted on Himalayas

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