Data and AI Strategic Advisor

9 hours ago


Stockholm, Stockholm, Sweden SAS - Global Full time

Responsibilities and Requirements

We're seeking a seasoned technical lead who can drive our manufacturing industry practice forward, building strong relationships with customers and delivering innovative solutions to meet their needs.

Key Responsibilities:

  • Advise clients on how to create business value and achieve their goals through data and analytics solutions.
  • Serve as the primary technical point of contact between the client and SAS, ensuring seamless communication and collaboration.
  • Develop and execute technical strategies for manufacturing accounts, working closely with account executives and engagement teams.
  • Provide technical and pre-sales leadership for new business opportunities, engaging with technical and business audiences to drive growth.
  • Manage complex customer situations, leveraging industry expertise and SAS solutions to deliver win-win outcomes.
  • Deliver exceptional customer experiences, showcasing SAS' value through presentations, discussions, bids, and POC/POVs.
  • Utilize domain knowledge to craft compelling visions that influence stakeholders in formal and informal settings.

Must-Have Qualifications:

  • At least 5 years of experience working in the manufacturing industry.
  • Bachelor's degree in a relevant field, such as Engineering, Business, Computer Science, or Quantitative Analysis.
  • Equivalent combination of education, training, and experience may be considered in lieu of the above qualifications.
  • Deep understanding of manufacturing value chain functions, including Inbound Logistics, Operations, Outbound Logistics, Marketing & Sales & Service.
  • Knowledge of job roles/personas, their responsibilities, and relationships in manufacturing processes.
  • Understanding of operational IT systems in industrial automation, such as PLC, SCADA, MES, ERP & CRM.
  • Principles of Industry4.0 framework, including IoT, Edge Computing, AI, Streaming Data, Digital Twins & Computer Vision integration.
  • Experience with business solutions built around mentioned technologies.
  • Proficiency in one or more Nordic languages and English.

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