Job description
Acuity Analytics (the trading name of Acuity Knowledge Partners) is a global, tech-first organization helping financial institutions and corporates make better decisions through research, data, analytics and AI-enabled solutions.
We combine deep financial services expertise with strong engineering, digital and AI capabilities to solve complex, real world problems. With a team of 7,200+ analysts, data specialists and technologists across 28 locations, we work with more than 800 organizations worldwide to drive efficiency, unlock insight and deliver measurable impact.
Our success is built on the strength of our people—by investing in talent, encouraging collaboration and creating room to grow, we enable our teams to do their best work for clients. Acuity became an independent business in 2019 following its acquisition from Moody’s Corporation by Equistone Partners Europe. In 2023, funds advised by global private equity firm Permira acquired a majority stake, with Equistone remaining a minority investor—supporting our continued growth and innovation.
For more information, visit www.acuityanalytics.com
Job purpose
Own the definition and standardization of business context for data assets by establishing domain-specific taxonomies, metadata, and classification rules, ensuring data is accurately described, consistently classified, and easily discoverable across the organization.
Key responsibilities
- Define and maintain business context classification by establishing standard taxonomies, document types, and asset classifications aligned to domain-specific requirements.
- Translate business knowledge into structured metadata, ensuring accurate representation of data meaning and improving search and discoverability.
- Validate classification outcomes to ensure alignment between business context and security labelling requirements.
- Collaborate with technical teams to refine classification logic and ensure consistency across domains.
- Manage business glossary, reference data, and taxonomy updates through controlled governance processes.
Key competencies
- Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
- Demonstrates strong domain expertise with the ability to contextualize data within business processes and use cases.
- Possesses expertise in taxonomy design, data definition, and metadata standardization.
- Exhibits analytical thinking to resolve ambiguous classification scenarios and edge cases.
- Shows familiarity with data catalog tools and AI-assisted classification solutions, including required experience with Lightbeam AI.
- Demonstrates strong collaboration skills to align business and technology stakeholders.
- Analytical problem‑solving mindset with the ability to break down complex issues into actionable steps.
