Senior Technical Writer - Investment Data & Analytics

Who You'll Work With

The Investment Technology team is seeking a Nashville, TN based Technical Writer to own and evolve documentation for our investment data and analytics platforms. You will play a critical role in making complex data systems understandable, discoverable, and usable for investment professionals and technologists alike. This role is ideal for someone who excels at technical communication, enjoys working at the intersection of data and investments, and is passionate about enabling clarity, governance, and AI-ready knowledge at scale. You will work closely with data engineers, architects, product owners, and investment stakeholders to ensure that technical concepts are clearly documented, consistently described, and optimized for both human and AI-assisted consumption.

What You’ll Do

• Serve as the technical writer and documentation lead for investment data platforms and analytics solutions.
• Author and maintain clear, accurate documentation for data pipelines, datasets, semantic models, APIs, and analytics products.
• Produce architecture overviews, data flow diagrams, data dictionaries, and usage guides for investment data assets.
• Translate complex engineering and investment concepts into consumable documentation for technical and non-technical audiences.
• Document data models, schemas, business definitions, and relationships across fixed income, equities, and multi-asset domains.
• Maintain standardized templates for data definitions, metrics, and calculated fields to ensure consistency across platforms.
• Partner with engineering teams to keep documentation aligned with evolving data structures and releases.
• Build working knowledge of key investment data domains (reference data, pricing, terms & conditions, indices, risk inputs).
• Clearly document how data inputs flow into analytics, models, and reporting outputs used by investment teams.
• Ensure documentation reflects both technical design and business usage context.
• Structure documentation so it can be effectively consumed by AI assistants (e.g., Copilot, internal LLMs).
• Apply consistent metadata, tagging, and taxonomy standards to improve discoverability and retrieval.
• Design documentation hierarchies and knowledge bases that support natural-language search and AI-driven Q&A.
• Support data governance documentation, including standards, best practices, and usage guidelines.
• Partner with data governance, architecture, and security teams to document controls, access patterns, and compliance considerations.
• Support adoption of enterprise catalogs (e.g., Purview) through high-quality descriptive content.
• Collaborate closely with data engineers, architects, product managers, and investment teams to gather content and validate accuracy.
• Facilitate documentation reviews and ensure alignment across technology and business stakeholders.
• Act as a steward of documentation quality, clarity, and consistency across the investment data ecosystem.

About AB

We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us!