S

SAS

Analytics, BI, and data management software

Senior Forward Deployed Solutions Architect - Large Pharma

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Data Science, Applied Mathematics, or a related field is required; an equivalent combination of related education, training, and experience may be considered.
  • At least 8 years of experience in life sciences or pharmaceutical consulting, applied analytics, data science engineering, or technical solution delivery is required.
  • Strong hands-on experience building analytics- or AI-driven solutions in complex enterprise environments is required.
  • Experience working embedded with customers, including on-site collaboration in New Jersey, and comfort operating in ambiguous, fast-moving settings are required.
  • The candidate must be able to translate business requirements into technical implementations that deliver operational value.
  • The role requires the ability to work on complex problems requiring simultaneous understanding of industry, data, and technology.
  • Strong problem-solving skills and creative thinking in settings with evolving requirements are required.
  • The candidate must be able to lead initiatives, define working approaches, and coordinate activities across business and technical stakeholders.
  • Clear communication skills to explain advanced analytical or AI concepts in business terms are required.
  • The role requires building relationships and working across organizational boundaries.
  • Applicants must be legally authorized to work in the United States and must not require employment visa sponsorship now or in the future.

Responsibilities

  • Serve as a forward-deployed, customer-embedded consultant working directly with business and technical teams within large pharmaceutical organizations.
  • Lead time-boxed innovation sprints, typically around 12 weeks, maintaining 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 life sciences and pharmaceutical expertise to identify and solve problems across research and development, clinical development, manufacturing, quality, supply chain, and commercial operations.
  • Co-develop analytical methods, metrics, and AI-driven approaches that deliver measurable improvements for sponsors and manufacturers.
  • Bridge industry context and technical execution to ensure solutions are innovative, compliant, and usable in regulated environments.
  • Design and implement analytics pipelines, AI and machine-learning 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 with Sales, Industry Advisors, technical teams, Product Management, and Customer Success to align embedded innovation with account strategy and support reuse across SAS.
  • Articulate business value, outcomes, and return on investment, and provide SAS teams with structured feedback on customer needs, emerging use cases, and innovation opportunities.

Desired Qualifications

  • The posting describes broadening business value as exploring customers’ underlying issues and needs, identifying broader solutions, building on customer cues to gain commitment to products, services, and solutions, and articulating and promoting a path forward.
  • The posting describes building customer loyalty as meeting and exceeding customer expectations while cultivating relationships that secure commitment and trust.
  • The posting describes customer focus as making the customer perspective a driving force in priorities, decisions, processes, and activities, and crafting and implementing service practices that meet customer and organizational needs.

About the Company

SAS

Analytics, BI, and data management software

SAS provides analytics, business intelligence, and data management software and services to organizations across government, business, and academia. Its products cover data mining, statistical analysis, forecasting, and optimization, and are sold as software licenses, with accompanying training, consulting, and support services. The platform typically helps users analyze large data sets and turn insights into decisions through a full analytics lifecycle—from data preparation to modeling and deployment. SAS differentiates itself through its long history (founded in 1976) and a broad, enterprise-grade suite with extensive services and a global presence that serve many of the world’s largest organizations. Its goal is to help customers become data-driven by turning data into actionable insights that improve decision making and outcomes.

Company size
10,001+
Company stage
Grant
Total funding
$1M
Headquarters
Cary, NC
Founded
1976

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