iManage
Director of Data Curation & Knowledge Systems
iManage, Chicago, Illinois, United States, 60290
Director of Data Curation & Knowledge Systems
iManage combines artificial intelligence with content and email management to free, secure, and understand information. Over 3,000 companies and 1 million users worldwide rely on our market‑leading software to share and protect their most valuable data. In exchange for meaningful, high‑impact challenges, we offer a flexible work policy, a healthy balance between personal and professional well‑being, and direct involvement in shaping next‑generation legal technology solutions.
We’re looking for people who love a challenge. People who are happiest when they’re solving problems and collaborating with the industry’s best and brightest. In this role you will lead the transformation of legal content into reliable, AI‑ready data assets that power AI‑driven insights, intelligent search, and knowledge discovery for legal professionals worldwide.
Responsibilities
Owning the data curation roadmap and data standards adopted across product & R&D.
Building and operating scalable pipelines for ingesting, transforming, and storing unstructured legal content.
Developing entity extraction, embeddings, and semantic search workflows; managing annotation programs for AI training with measurable quality & throughput goals.
Evolving pragmatic taxonomies, schemas, and semantic structures that improve search, retrieval, and AI performance.
Implementing a data acquisition and ground‑truth annotation program including quality assurance tooling and documentation.
Embedding governance, lineage, and privacy controls directly into data workflows rather than treating them as separate processes.
Leading, developing, and inspiring a high‑performing team of 8–10 engineers and specialists; fostering a culture of innovation, accountability, and growth; driving team development through coaching and career progression.
Partnering with senior stakeholders across Product, Legal, Security, and R&D to shape data strategy and deliver integrated solutions; acting as a self‑driven leader who proactively identifies opportunities and drives initiatives from concept to execution.
Qualifications
8–10+ years in data engineering or knowledge management; 3–5 years in leadership.
Hands‑on experience or strong working knowledge in NLP/text analytics (entity extraction, embeddings, semantic search).
Proficiency with modern data stacks including data warehouses, lakehouse, streaming, and vector databases.
Exposure to data governance and compliance topics.
Proven ability to lead, inspire, and develop high‑performing teams – building a culture of collaboration, accountability, and innovation.
Experience setting vision and strategy for data initiatives while mentoring team members to grow into leadership roles.
Worked on evaluating LLM outputs and task performance, with skills in fashioning and manipulating data.
Understanding of programming languages commonly used for text data, such as Python, and experience with text extraction, classification, or summarization.
Demonstrated success in influencing stakeholders and driving alignment across Product, Engineering, and AI teams.
A self‑propelled, proactive leader who thrives in ambiguity and consistently drives initiatives from concept to execution.
Bonus Points
Familiarity with vector databases and RAG architectures (Milvus, Weaviate, Pinecone).
Knowledge of legal taxonomies, ontologies, and knowledge graphs.
Experience in legal tech, DMS, or regulated data environments.
Exposure to DMS platforms (iManage, NetDocuments) or eDiscovery systems.
Benefits & Compensation The overall U.S. annual base salary range for this position is $180,000–$270,000 per year. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, commission, or benefits.
We offer a comprehensive benefits package that includes Health/Vision/Dental/Life Insurance, a 401(k) Retirement Savings Plan with a company match up to 4%, an annual performance‑based bonus, enhanced parental leave, flexible time‑off policy, multiple company wellness days, and access to RethinkCare, a global behavioral health platform.
Equal Employment Opportunity iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Location & Hybrid Schedule Chicago, IL – Full‑time – Hybrid. This role requires in‑office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers while also maintaining flexible work‑life balance.
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We’re looking for people who love a challenge. People who are happiest when they’re solving problems and collaborating with the industry’s best and brightest. In this role you will lead the transformation of legal content into reliable, AI‑ready data assets that power AI‑driven insights, intelligent search, and knowledge discovery for legal professionals worldwide.
Responsibilities
Owning the data curation roadmap and data standards adopted across product & R&D.
Building and operating scalable pipelines for ingesting, transforming, and storing unstructured legal content.
Developing entity extraction, embeddings, and semantic search workflows; managing annotation programs for AI training with measurable quality & throughput goals.
Evolving pragmatic taxonomies, schemas, and semantic structures that improve search, retrieval, and AI performance.
Implementing a data acquisition and ground‑truth annotation program including quality assurance tooling and documentation.
Embedding governance, lineage, and privacy controls directly into data workflows rather than treating them as separate processes.
Leading, developing, and inspiring a high‑performing team of 8–10 engineers and specialists; fostering a culture of innovation, accountability, and growth; driving team development through coaching and career progression.
Partnering with senior stakeholders across Product, Legal, Security, and R&D to shape data strategy and deliver integrated solutions; acting as a self‑driven leader who proactively identifies opportunities and drives initiatives from concept to execution.
Qualifications
8–10+ years in data engineering or knowledge management; 3–5 years in leadership.
Hands‑on experience or strong working knowledge in NLP/text analytics (entity extraction, embeddings, semantic search).
Proficiency with modern data stacks including data warehouses, lakehouse, streaming, and vector databases.
Exposure to data governance and compliance topics.
Proven ability to lead, inspire, and develop high‑performing teams – building a culture of collaboration, accountability, and innovation.
Experience setting vision and strategy for data initiatives while mentoring team members to grow into leadership roles.
Worked on evaluating LLM outputs and task performance, with skills in fashioning and manipulating data.
Understanding of programming languages commonly used for text data, such as Python, and experience with text extraction, classification, or summarization.
Demonstrated success in influencing stakeholders and driving alignment across Product, Engineering, and AI teams.
A self‑propelled, proactive leader who thrives in ambiguity and consistently drives initiatives from concept to execution.
Bonus Points
Familiarity with vector databases and RAG architectures (Milvus, Weaviate, Pinecone).
Knowledge of legal taxonomies, ontologies, and knowledge graphs.
Experience in legal tech, DMS, or regulated data environments.
Exposure to DMS platforms (iManage, NetDocuments) or eDiscovery systems.
Benefits & Compensation The overall U.S. annual base salary range for this position is $180,000–$270,000 per year. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, commission, or benefits.
We offer a comprehensive benefits package that includes Health/Vision/Dental/Life Insurance, a 401(k) Retirement Savings Plan with a company match up to 4%, an annual performance‑based bonus, enhanced parental leave, flexible time‑off policy, multiple company wellness days, and access to RethinkCare, a global behavioral health platform.
Equal Employment Opportunity iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Location & Hybrid Schedule Chicago, IL – Full‑time – Hybrid. This role requires in‑office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers while also maintaining flexible work‑life balance.
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