Solution Consulting Product Specialist, Acorn AI

Sales New York, New York


Position at Medidata Solutions

Dassault Systèmes (DS), with 35 years of experience transforming the way products are designed, produced and supported has combined with Medidata, developers of the world’s most-used platform for clinical development, commercial and real world data. Our Life Sciences sales and marketing teams bring together all of Dassault Systèmes Life Sciences capabilities in one go-to-market organization, providing our clients with Life Sciences domain focus and expertise to accelerate their business. As one organization we are leading the transformation in Life Sciences. Unique in the industry, we provide our clients with an integrated business and scientific platform from discovery and preclinical development, through clinical trials, all the way to manufacturing and commercialization. Discover the future of Life Sciences: Life Sciences & Healthcare Industry Solutions

 

We know that diverse teams win and are fully committed to selecting leaders and employees that represent the markets in which we operate. Dassault Systèmes Life Sciences & Healthcare, led by Medidata co-founder Tarek Sherif, has global operations and employees in the US, Europe and Asia.

Your Mission

Work as a member of the Medidata pre-sales organization as a subject matter expert for our Acorn AI offering.  As a pre-sales Acorn AI Product Specialist you will work collaboratively with the Sales Organization in developing client strategies and preparing and delivering presentations leading to adoption of the Medidata platform. The Acorn AI Product Specialist will serve as a trusted advisor and will be required to have the executive presence and ability to communicate effectively to all levels within any Life Science organization. 

  • Maintain an expert level understanding of all of the capabilities in our Acorn AI offering including but not limited to detailed product functionality, underlying technology, client usage, service delivery, product roadmap and competitive landscape

  • Support Acorn AI customer engagements in collaboration with other Solution Consultants across multiple sales theaters

  • Develop and distribute product messaging and collateral for use by the Solution Consulting Team

  • Develop standardized templates for value messaging, business cases to use for Acorn AI partner proposals

  • Provide solution assurance to proposals from a product perspective

  • Execute Client discovery sessions and synthesize outcome based presentations

  • Work closely with Product Development on client feedback, prioritization and roadmap of new functionality

  • Work closely with Professional Services to understand and articulate client adoption scenarios and paths and aid in the scoping of engagements

  • Work closely with Partner Team to help define delivery and adoption scenarios involving direct to Partner or Sponsor/Partner engagements

  • Assist with completion of application and/or technical RFI/RFP responses

 Competencies and Experience

  • Deep understanding of how data & analytics can be used to solve both scientific and operational problems in clinical trials

  • Expert level knowledge of the Life Sciences industry focused on electronic data collection and clinical data analytics technologies

  • Comprehensive knowledge of existing landscape of Life Science technologies, software and service providers

  • Understanding of system validation within the context of data-based processing and AI based analytics

  • Extensive knowledge of data science concepts and core operational tasks including data wrangling, modelling, visualisation, pre-processing, learning techniques, parameter specification, validation, bias, mathematical and statistical concepts

  • Knowledge of clinical data standards including those specified by CDISC

  • Experience working with data scientists and data science teams

  • Experience in working with and presenting to customers

  • Excellent verbal, written and presentation skills

  • Strong client discovery, analytical and technical skills

  • Excellent organizational and time management skills

  • Self-motivating, able to assume responsibility and work autonomously in a professional manner

Preferred Education

  • Bachelor's degree required in the Life Sciences, Business or Computer Science preferred; or equivalent years of experience