Senior Forward Deployed Industry Consultant, Pharma - Bayer

 Senior Forward Deployed Industry Consultant, Pharma (Bayer) - Berlin OR Leverkusen, Hybrid 

 

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About the job

The Global Health and Life Sciences Customer Advisory  team  is seeking a Senior Forward Deployed Industry Consultant – Pharma who is an  industry expert dedicated to our strategic account, Bayer. In this role, you will operate as an embedded consultant and forward-deployed engineer, working closely with business, data science, engineering, and IT teams at the customer site in Berlin or Leverküsen . Your mission is to co-create innovative analytics, AI-driven, agent-based, and data-centric solutions on top of SAS technology, directly within the customer’s operational environment.

 

You will accelerate innovation and time-to-value by applying, composing, and extending SAS capabilities to address high-impact pharmaceutical sponsor challenges. This role is designed for longer-term customer engagement to enable sustained capability development and deep business impact. 

 

As a Senior Forward Deployed Industry Consultant, Pharma, you will:

• Serve as a forward-deployed, customer-embedded consultant working directly with business and technical teams within a large pharmaceutical organization.
• Lead time-boxed innovation sprints (typically ~12 weeks), with continuity across multiple sprints, to design and deliver analytics- and AI-enabled capabilities.
• Translate real-world business challenges into production-ready solutions built on SAS platforms and integrated into customer systems and workflows.
• Apply deep life sciences and pharmaceutical expertise to identify and solve problems across R&D, clinical development, manufacturing, quality, supply chain, and commercial operations.
• Co-develop new analytical methods, metrics, and AI-driven approaches that deliver measurable improvements for sponsors and manufacturers.
• Bridge industry context and technical execution, ensuring solutions are innovative, compliant, and usable in regulated environments.
• Design and implement analytics pipelines, AI/ML workflows, agent-based approaches, and decisioning solutions using SAS technologies, APIs, and enterprise integrations.
• Rapidly prototype, iterate, and operationalize solutions with customer users, progressing from proof of value to scalable, production-ready capabilities.
• Partner closely with Global Account Directors, Account Executives, Industry Consultants, and technical teams to align embedded innovation with overall account strategy and support reuse across SAS.
• Clearly articulate business value, outcomes, and ROI, while providing structured feedback to SAS teams on customer needs, emerging use cases, and innovation opportunities.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
• Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or a related field.
• Solid experience in life sciences/pharmaceutical consulting, applied analytics, data science engineering, or technical solution delivery roles.
• Strong hands-on experience building analytics- or AI-driven solutions in complex enterprise environments.
• Demonstrated ability to work embedded with customers, including on-site collaboration in and comfort operating in ambiguous, fast-moving settings.
• Proven capability to translate business requirements into technical implementations that deliver real operational value.
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

 

Additional competencies, knowledge and skills

• Broadening Business Value: Exploring customers’ underlying issues and needs that suggest broader solutions; maximizing the productiveness of sales interactions by building on customer cues to gain commitment to products, services, and solutions; articulating and promoting a path forward.
• Building Customer Loyalty: Meeting and exceeding internal or external customer expectations while cultivating relationships that secure commitment and trust.
• Customer Focus: Ensuring that the internal or external customer’s perspective is a driving force behind strategic priorities, business decisions, organizational processes, and individual activities; crafting and implementing service practices that meet customers’ and own organization’s needs; promoting and operationalizing customer service as a value.
• Ability to work on complex problems requiring simultaneous understanding of industry, data, and technology.
• Strong problem-solving skills and creative thinking in environments with evolving requirements.
• Capability to lead initiatives, define working approaches, and coordinate activities across business and technical stakeholders.
• Clear communication skills with the ability to explain advanced analytical or AI concepts in business terms.
• Strong relationship-building skills and comfort working across organizational boundaries.

 

You are welcome here.

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

 

Additional Information:

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