Location: Must reside in the USA. Role is 100% remote.
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?
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.
Serve as the main point of contact for assigned enterprise client engagements
Build and maintain trusted advisor relationships with key client stakeholders
Understand client objectives and design delivery plans to align with their business goals
Lead end-to-end project execution, from kickoff through final delivery
Coordinate cross-functional teams across global delivery hubs
Manage delivery workflows related to AI data preparation, annotation, enrichment, and digital content transformation
Define and monitor KPIs, SLAs, and delivery milestones
Identify and address delivery risks, issues, and blockers proactively
Ensure accurate and timely communication with clients regarding progress, changes, and expectations
Track and manage scope, timeline, and budget across multiple workstreams
Maintain comprehensive documentation for all projects and client interactions
Collaborate with Sales, Solutions, Product, and Operations to align internal capabilities with client needs
Drive continuous improvement in delivery processes and service models
Provide strategic input on how clients can optimize AI workflows or digital operations
Translate client feedback into actionable insights for internal teams
Contribute to the development of new service offerings based on evolving client demands
5+ years of client delivery or program management experience in professional services, consulting, digital transformation, or AI/data services
Experience managing enterprise-level clients and complex delivery engagements
Strong project management skills with familiarity in Agile, Scrum, or Waterfall methodologies
Excellent verbal and written communication skills, with the ability to present to executive-level stakeholders
Ability to manage multiple projects simultaneously in a fast-paced environment
Experience leading geographically distributed teams
Understanding of AI/ML data workflows, digital content processing, or knowledge management
Experience in AI/ML data services, BPO, or technology consulting
Background in industries such as technology, healthcare, publishing, or financial services
Familiarity with annotation platforms, LLM workflows, or automation tools
PMP, CSM, or similar project management certification
Bachelor's degree in Computer Science, Engineering, Data Science, Project Management, or a related field (or equivalent work experience).
Salary Range:$160,000-180,000
Salary 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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