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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