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Lightcast

Data Product Manager - Knowledge Platform - 1075

Location
Work From Home UK
Arrangement
Remote
Employment type
Full-time
Level
Manager
Posted
20 August 2026 (about a month ago)

Checked 26 days agoApplications go to the employer, never to RoleSprint

About this role

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.

*THIS IS A REMOTE POSITION BASED IN UK*

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.

Education and Experience: • Education: Bachelor’s degree preferred in a relevant field.

• Experience: 3+ years in a relevant role, with demonstrated autonomy and ownership.

• Significant experience working in a data-rich environment .

• Experience with technical, analytical, or data-focused products, including product strategy, discovery, and/or delivery.

• Technical fluency in areas such as data, analytics, AI, machine learning, taxonomy, ontology, or knowledge systems .

• Experience working cross-functionally with customers, engineering, data science, product, and commercial stakeholders.

• Ability to work directly with data, including exploratory analysis and data-quality assessment.

• Strong interest in AI, knowledge representation, labour market intelligence, and the future of work .

Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

Eligible remote locations

  • GB

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About this listing

Published on Lever under the board identifier Economicmodeling, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 20 August 2026, last checked 26 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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