Senior IT Business Analyst

lifescienceconnect; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical coverage

Disability insurance

Life insurance

401(k) match

Paid time off

Job summary

Life Science Connect is seeking a Senior IT Business Analyst to bridge product strategy, engineering, data, and AI-augmented development. You will turn strategic concepts into precise, actionable specifications and guide engineering teams toward implementation.

You’ll partner with Product, Engineering, Data, DevOps, and UX to design scalable workflows and data models, while using AI to accelerate analysis and documentation for faster delivery.

Qualifications

• 5+ years of business analysis in SaaS or enterprise apps.
• Ability to translate strategy into engineering requirements and stories.
• Experience with REST APIs, CIAM, and data models.
• AI-augmented analysis with strong prompt engineering.

Responsibilities

• Translate Strategy into Engineering Execution: transform strategic initiatives into clear requirements, user stories, workflows, APIs, and acceptance criteria.
• Drive AI-Augmented Analysis: use AI tools to produce requirements, process models, documentation, and data mappings with accuracy.
• Design Intelligent Product Workflows: design scalable workflows leveraging identity, analytics, AI services, and customer data.
• Own Product Specifications: produce implementation-ready PRDs, specs, user stories with acceptance criteria, API contracts, data mappings.
• Partner Deeply with Engineering: clarify requirements with Full Stack Engineers before development begins.
• Enable Data Intelligence: define data models, ingestion patterns, warehouse requirements, reporting needs, and customer intelligence workflows.
• Validate What We Build: ensure functionality aligns with business objectives and specs.
• Improve How We Work: improve documentation, Agile practices, and AI-enabled delivery workflows.

Skills

Business Analysis

Technical Fluency

AI-Augmented Analyst

Autonomy

Excellent Communicator

Systems Thinker

Tools

Next.js

React

JSON APIs

Job description

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

• 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.
• 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.
• 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.
• Own Product Specifications: Produce implementation‑ready documentation including PRDs, functional specifications, user stories with rigorous acceptance criteria, API contracts, process flows, and data mappings.
• 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.
• 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.
• Validate What We Build: Support testing, feature validation, and release readiness by ensuring delivered functionality aligns perfectly with business objectives and technical specifications.
• 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 comfortable discussing and documenting:

• REST APIs and JSON payload structures
• Headless CMS architectures and decoupled front‑ends
• Identity, Authentication, and Customer Identity frameworks (CIAM)
• Relational and modern cloud data models (Snowflake)
• Event Tracking, telemetry, and Customer Journey Analytics
• Cloud‑based application architectures and system integrations

Experience with Next.js, React, or modern JavaScript frameworks is a strong plus.

AI-Augmented Analyst

You actively use AI to scale your daily output—not just for generating text, but as a technical sparring partner for requirements generation, gap analysis, user story refinement, edge‑case discovery, and workflow optimization. You know how to engineer effective prompts, but more importantly, you possess the critical engineering mindset required to validate, audit, and correct AI outputs before they reach production teams.

Core Traits

• Product Mindset: You naturally ask "why" before "what." You understand that every requirement should tie directly to customer value, operational efficiency, measurable business outcomes, or revenue growth.
• Systems Thinker: You enjoy untangling complex processes, identifying hidden technical dependencies, simplifying workflows, and designing scalable architectural solutions.
• Excellent Communicator: You can confidently facilitate alignment between executives, business stakeholders, designers, engineers, and data teams while effortlessly adapting your communication style to your audience.
• Highly Autonomous: You excel in distributed teams where asynchronous documentation, radical ownership, proactive communication, and independent problem‑solving are essential.

Preferred Experience

• Agile/Scrum product development in highly iterative environments
• Technical Business Analysis within cloud‑native software engineering organizations
• Headless CMS platforms (Optimizely preferred)
• Snowflake or modern cloud‑native data platforms
• Customer Identity and Access Management (CIAM) systems
• Product analytics, event streaming, and customer journey mapping
• API integration, contract design, and webhook architecture
• AI-assisted software delivery tools and prompts
• Jira, Confluence, and structured ticket workflows
• Lucidchart, Miro, or similar visual modeling tools

Success in Your First 90 Days

You’ll know you’re succeeding when you have:

• Built trusted, seamless relationships across Product, Engineering, Data, and DevOps.
• Produced implementation‑ready specifications that measurably reduce engineering clarification and rework cycles.
• Accelerated delivery velocity through high‑fidelity, AI‑assisted documentation and rapid analysis workflows.
• Elevated the quality and consistency of product requirements, downstream testing logic, and acceptance criteria.
• Contributed directly to launching customer‑facing features with clear, trackable business impact.
• Established repeatable documentation, mapping, and analysis practices that scale natively with our engineering organization.

We Invest in YOU

At Life Science Connect, our commitment to empowering innovation and facilitating growth within the life sciences sector extends to our employees. We offer a comprehensive total compensation program designed to support your overall health, financial well‑being, and professional development.

In addition to a competitive salary, you’ll enjoy:

• Medical/vision/prescription/dental coverage for you and your family
• 100% company‑paid short‑ and long‑term disability insurance
• 100% company‑paid life insurance
• 401(k) with dollar‑for‑dollar company match up to 6%
• 15 vacation days and 6 personal days on day 1
• 13 company‑paid holidays

To view all our job postings and showcases for some of our employees, visit: https://lifescienceconnect.com/careers/

Principals only. We do not accept unsolicited resumes from third‑party recruiters or staffing agencies. No visa sponsorship is available for this position.