Director of Data Curation & Systems
Listed on 2026-01-13
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IT/Tech
Data Science Manager, Data Analyst, Data Engineer, AI Engineer
Location: Greater London
We offer a flexible working policy that supports a healthy balance between personal and professional well‑being. This role requires in‑office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers – while also maintaining the flexibility for meaningful work‑life balance.
Being a Director of Data Curation & Knowledge Systems at iManage Means…You will lead the transformation of legal content into reliable, AI‑ready data assets that power next‑generation legal technology solutions. This role combines strategic leadership with deep technical expertise in data engineering, unstructured data, data‑for‑NLP principles, and knowledge systems within our document management ecosystem.
You will improve and evolve existing data pipelines and systems to support AI‑ready legal data, design semantic pipelines, and establish governance frameworks that ensure compliance and trust. Your team will directly enable AI‑driven insights, intelligent search, and knowledge discovery for legal professionals worldwide. Additionally, your team will grow and curate the data repository that serves as ground truth for AI development, product, and engineering initiatives.
iMResponsible For…
- 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;
This role combines people leadership with hands‑on involvement in early wins, process repair, and system improvements; 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.
- 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.
- 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.
- 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, Net Documents) or eDiscovery systems.
Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full…
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