Responsibilities

• Own the global CRM product vision, roadmap, and backlog aligned with AstraZeneca Commercial strategy. Drive adoption of Salesforce Life Sciences Cloud , Agentforce automation, and Data Cloud capabilities. Translate business outcomes into scalable product features and platform capabilities. Act as the primary interface between Business, IT, Architecture, and Delivery teams. Influence long-term CRM ecosystem strategy including integrations, AI enablement, and data activation.
• Identify platform exploitation and innovation opportunities across the enterprise.
• Promote adoption of unused or emerging Salesforce capabilities.
• Lead innovation assessments, pilots, and proof-of-concept initiatives.
• Develop business cases for AI, automation, and intelligent workflow solutions.
• Champion the transition toward agentic CRM experiences leveraging Agentforce digital agents
• Data Cloud (Data360) unified customer data
• Intelligent engagement orchestration
• Drive continuous innovation through product backlog prioritization and experimentation.
• Lead end-to-end product delivery across Design → Build → Test → Deploy → Operate lifecycle. Provide functional and technical oversight of CRM configurations, customizations, and UX development. Ensure solutions align with enterprise standards, scalability requirements, and compliance expectations. Coordinate global release planning across multiple delivery trains and markets. Validate business and functional requirements throughout product development cycles.

Requirements

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 10+ years of experience in CRM or related Customer Engagement processes.
• Extensive experience in enterprise IT product ownership or CRM platform leadership.
• - Deep expertise in Salesforce ecosystem , preferably Life Sciences Cloud .
• - Strong experience with Veeva CRM/Vault or global life sciences CRM platforms.
• - Salesforce certifications strongly preferred.
• - Experience delivering global CRM implementations at scale.
• - Understanding of Data Cloud / Data360 , customer data platforms, or enterprise data activation.
• - Understanding of AI-enabled workflows, automation, or digital agents (Agentforce experience desirable).
• - Experience shaping intelligent, data-driven customer engagement ecosystems.

Preferred

• - Agentforce experience desirable.