Product Manager - Knowledge Platform - 1075

The Product Manager, Knowledge Platform drives strategy and development of Lightcast’s knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products.

The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction.

Success requires strong product judgement, technical fluency, autonomy, and the ability to connect customer needs with data, AI, and engineering capabilities.

The Product Manager, Knowledge Platform drives strategy and development of Lightcast’s knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products.

The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction.

Success requires strong product judgement, technical fluency, autonomy, and the ability to connect customer needs with data, AI, and engineering capabilities.

The Product Manager, Knowledge Platform drives strategy and development of Lightcast’s knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products.

The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction.

Success requires strong product judgement, technical fluency, autonomy, and the ability to connect customer needs with data, AI, and engineering capabilities.

Major Responsibilities: Define the strategy, roadmap, and investment priorities for the knowledge platform.

Lead discovery of new capabilities by identifying customer problems, assessing data feasibility, and validating opportunities.

Translate complex data opportunities into clear product requirements, specifications, quality criteria, and investment decisions.

Partner with engineering, data science, taxonomy, analytics, and commercial teams throughout product development.

Balance customer value, data quality, technical feasibility, and business priorities when making product decisions.

Communicate complex technical and data-product concepts effectively to technical, commercial, and executive stakeholders.

Evaluate developments in AI, analytics, labour market intelligence, and knowledge technologies to identify valuable new opportunities.

Use data and evidence directly to assess quality, explore opportunities, and guide product decisions.