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Business Analyst (Data & AI Readiness)

Marlabs United States

Business Consulting and Services · 1,001-5,000 employees

4 d ago
Remote business-analyst Senior (5-10 yrs) Contractor United States
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About the role

Lead discovery and assessment efforts to evaluate organizational data landscapes and readiness for AI-driven initiatives. Collaborate with stakeholders to document requirements, analyze current-state processes, and provide actionable recommendations for future-state solutions.

What they look for

Business Analysis Data Readiness AI Readiness Stakeholder Management Requirements Gathering Process Analysis Data Governance Information Architecture Gap Analysis Consulting Documentation Project Management Content Management Workshop Facilitation Digital Transformation

Requirements

Requires 5+ years of experience as a Business Analyst with a strong background in data, analytics, or digital transformation projects. Must possess excellent client-facing consulting skills and the ability to create detailed process maps, gap analyses, and requirements documentation.

Full description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Business Analyst (Data & AI Readiness) to join our innovative and dynamic team.

This role is based remotely in the U.S.

Business Analyst (Data & AI Readiness) | About You

As a Business Analyst (Data & AI Readiness), you will lead discovery, assessment, and documentation efforts to help organizations evaluate their data landscape and readiness for AI-driven initiatives. You will work closely with business stakeholders and technical teams to understand current-state processes, data sources, document management practices, and information architecture, translating findings into actionable recommendations. This is a highly client-facing role that requires strong communication, stakeholder management, business analysis, and data project experience.

Business Analyst (Data & AI Readiness) | Day-to-Day

  • Facilitate discovery sessions and stakeholder interviews to assess business processes, data sources, document repositories, and AI readiness requirements.
  • Gather, analyze, and document business, functional, and data requirements, ensuring alignment between business objectives and technology solutions.
  • Evaluate current-state information management, data governance, and content management processes, identifying opportunities for optimization and AI enablement.
  • Create detailed documentation, process maps, requirements artifacts, gap analyses, and recommendations for future-state solutions.
  • Collaborate with cross-functional teams, including business stakeholders, data specialists, solution architects, and delivery teams, to support project objectives.
  • Communicate project status, findings, risks, and recommendations to stakeholders while ensuring timely completion of project deliverables.

Business Analyst (Data & AI Readiness) | Skills & Experience

  • 5+ years of experience as a Business Analyst, with a strong track record of leading discovery, requirements gathering, and stakeholder engagement initiatives.
  • Experience supporting data, analytics, data governance, or digital transformation projects, including process analysis and documentation of data-related requirements.
  • Strong client-facing consulting skills, with the ability to facilitate workshops, conduct interviews, and communicate effectively with both business and technical audiences.
  • Proven experience creating business requirements documents, process flows, current-state/future-state assessments, gap analyses, and executive-level deliverables.
  • Excellent analytical, organizational, and communication skills, with the ability to work independently and collaborate across geographically distributed teams.

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