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Business Analyst - AI & Veeva CRM Solutions (Life Sciences)

Arrowminds incUnited States🇺🇸United StatesPosted Sep 29, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
20 hours ago
ScrumAgileBusiness AnalysisConfluenceContinuous ImprovementJiraRequirements GatheringStakeholder Management

Job Description

Key skills: (BA with Veeva CRM, Life science Industry & (AI Skills/ Knowledge)

 

Role: Business Analyst - AI & CRM Solutions (Life Sciences)
Domain: Life Sciences, Pharmaceutical Commercial Operations, Customer Engagement
Skills/Tech Stack/Product & Domain Knowledge Snapshot
• CRM Platforms: Veeva CRM
• AI & Automation: Microsoft Copilot, Generative AI, Conversational AI, Intelligent Automation
• Business Analysis: Requirements Elicitation, User Stories, Process Mapping, Gap Analysis
• Stakeholder Management & Workshop Facilitation
• Agile Delivery: Jira, Azure DevOps, Confluence
• Data Analysis & Reporting
• CRM Integrations & Digital Customer Engagement Platforms
• SDLC, UAT, Change Management, Adoption Support

 

Role Summary:
Our client is seeking an experienced Business Analyst with expertise in Life Sciences CRM processes and a strong understanding of AI-driven business solutions.

• The role will partner with business stakeholders, product teams, and technology teams to identify opportunities for AI-enabled process improvements and customer engagement transformation.

• The candidate will translate business needs into actionable requirements, support solution evaluation, and drive successful implementation of CRM and AI initiatives.

• The ideal candidate will bring a combination of Life Sciences domain knowledge, CRM expertise, analytical thinking, and stakeholder management capabilities.

 

Skills:

• 10+ years of Business Analysis experience with at least 4+ years supporting CRM initiatives.

• Strong understanding of Life Sciences commercial operations, customer engagement, and CRM processes.

• Experience with Veeva CRM, Salesforce, Dynamics 365, or similar CRM platforms.

• Understanding of AI, Generative AI, Copilot, automation, and emerging digital technologies.

• Proven experience in requirements gathering, business process analysis, and solution definition.

• Strong stakeholder management and workshop facilitation skills.

• Experience translating business requirements into user stories, functional specifications, and acceptance criteria.

• Experience supporting Agile/Scrum delivery teams.

• Strong analytical and problem-solving skills.

• Experience supporting UAT, change management, training, and business adoption activities.

• Excellent written and verbal communication skills.

 

Job Description 

 

• This role will help shape and accelerate AI-enabled transformation initiatives within Life Sciences commercial operations.

• The individual will bridge business and technology teams to ensure CRM and AI solutions address real business needs and deliver measurable value.

• Success in this role will improve customer engagement processes, user productivity, and operational efficiency.

• The insights and requirements developed by this role will directly influence future CRM and AI solution adoption across the organization.

• Partner with business stakeholders to understand goals, challenges, and operational processes.

• Analyze existing CRM workflows and identify opportunities for process optimization and AI adoption.

• Facilitate discovery workshops, requirement gathering sessions, and stakeholder discussions.

• Document business requirements, user stories, process flows, and functional specifications.

• Support evaluation and implementation of CRM enhancements and AI-enabled capabilities.

• Collaborate with product owners, architects, developers, and testing teams throughout the project lifecycle.

• Define acceptance criteria and support user acceptance testing activities.

• Analyze business data and user feedback to identify opportunities for continuous improvement.

• Support change management, user training, and adoption initiatives.

• Track requirements traceability and ensure alignment between business objectives and delivered solutions.

• Prepare executive-ready summaries, recommendations, and solution proposals.

• Act as a trusted advisor between business and technology teams.

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