Senior IT Business Analyst (AI Enabled Product Engineering)
About Us
By transitioning from a traditional B2B publisher into a modern data authority, Life Science Connect is redefining industry standards. We specialize in constructing dedicated platforms, identity frameworks, and intelligence layers engineered to speed up development for life sciences experts. Our strategic investments in decoupled modern architecture and AI-enhanced engineering workflows empower our teams to rapidly deploy scalable, premium-quality products.
The Mission
We are seeking a Senior IT Business Analyst who excels at bridging product strategy, engineering, data, and AI-augmented development.
Forget traditional requirements-gathering roles that focus heavily on meeting notes and passing off tickets. In this position, you will be deeply integrated into a high-velocity engineering organization, partnering with Product, Engineering, Data, DevOps, and UX to turn strategic concepts into precise, actionable technical architectures. As a force multiplier for the engineering team, you will decode complex business challenges into clear, implementation-ready specifications, utilize AI tools to expedite analysis, and maximize the time engineers spend writing code rather than untangling ambiguity. Why This Role Matters
As Life Science Connect evolves into a modern data authority, our ability to move quickly without sacrificing quality depends on exceptional product definition and technical clarity. The Senior IT Business Analyst plays a critical role in ensuring engineers spend their time building innovative solutions—not deciphering requirements.
If you enjoy solving complex business problems, partnering closely with engineers, embracing AI as a productivity multiplier, and helping shape the next generation of intelligent digital products, we'd love to meet you.
What You'll Actually Do
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Translate Strategy into Engineering Execution: Partner with Product Leadership and Engineering to transform strategic initiatives into clear technical requirements, user stories, workflows, APIs, and acceptance criteria that engineers can immediately build from.
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Drive AI-Augmented Analysis: Use modern AI tools to rapidly produce requirements, process models, technical documentation, and data mappings while maintaining exceptional structural accuracy and logical consistency.
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Design Intelligent Product Workflows: Analyze complex business processes and design scalable workflows that leverage identity, personalization, analytics, AI services, and customer intelligence across our product ecosystem.
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Own Product Specifications: Produce implementation-ready documentation including PRDs, functional specifications, user stories with rigorous acceptance criteria, API contracts, process flows, and data mappings.
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Partner Deeply with Engineering: Work directly alongside Full Stack Engineers to clarify requirements, answer implementation questions, refine technical solutions, and remove ambiguity before development begins.
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Enable Data Intelligence: Collaborate with Data Engineering to define modern data models, ingestion patterns, warehouse requirements, reporting needs, and customer intelligence workflows while ensuring data quality throughout the product lifecycle.
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Validate What We Build: Support testing, feature validation, and release readiness by ensuring delivered functionality aligns perfectly with business objectives and technical specifications.
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Improve How We Work: Continuously improve documentation standards, Agile practices, AI-enabled delivery workflows, and product discovery processes to help the entire engineering organization move faster with greater confidence.
What We're Looking For
5+ Years of Business Analysis Experience
You've worked closely with engineering teams building SaaS platforms, digital products, or enterprise applications and know how to bridge business needs with technical execution. Technical Fluency
You don't need to write production code, but you're thoroughly com