Data Transformation Lead

Stockholms län, Sweden Application deadline 2023-09-28

Assignment description

The Data Transformation Lead is a full-time role and would be part of the the project’s Core Team

  • Must have: Experience from creating relevant approach for and coordinate migration/transformation of complex data with various quality, Hands-on experience with R&D-related technical data (for physical products, not software), Project management skills (senior), Experience from planning and tracking multiple workstreams with data owners in organization, Interpersonal skills and communication abilities in English (written and verbal), Independent driver within own area of responsibility, Proactive problem-solver, Motivates teams and People, Curious, Teamplayer

Key responsibilities and accountabilities

  • Facilitate formulation of clear and aligned overall project Migration Scope, Objectives, Strategy & Plan (incl high-level analysis as needed)
  • Manage preparation and execution of full customers data migration based on agreed Scope, Objectives, Strategy & Plan
    • Phase by Phase (starting with Phase 1: Module Management)
  • Optimize & coordinate planning and execution of data migration activities within all CXA Product Lines cross Business Areas / Regions, leveraging defined roles for migration (see picture to right)
  • Facilitator between Org. (mainly R&D), internal PLM team and GEC (Global Engineering Center providing engineering services through Indian supplier) in the data transformation and migration activities
  • Ensure data transformation plans are in line with solution being deployed in PLM-system Teamcenter & implementation plans per Phase
  • Secure data transformation needs and plans per Product Line are met & managed in relevant way
  • Identify and manage risks and opportunities in data transformation planning and execution
  • Track progress vs plan, report out
  • Understand level of business maturity as input for organization change mgmt and user training
  • Contribute to, and/or drive assessments/analysis relating to project overall, as needed
  • Project Core Team member, reporting to Project Manager

Knowledge, skills and abilities

  • Project management skills (senior)
  • Experience from creating relevant approach for and coordinate migration/transformation of complex data with various quality
  • Experience from planning and tracking multiple workstreams with data owners in organization
  • Interpersonal skills and communication abilities in English (written and verbal)
  • Independent driver within own area of responsibility
  • Proactive problem-solver
  • Teamplayer
  • Problem-solving skills, applied proactively
  • Basic product knowledge and understanding

Background and experience

  • Previous experience orchestrating large and complex migrations of R&D data (multiple data types & sources incl CAD/CATIA)
  • Preferably engineering background
  • Assignment

    Data Transformation Lead

  • Reference number

    204910

  • Company

    Sigma Industry Development

  • Location

    Stockholms län, Sweden

  • Competence area

    Calculation & Simulation, Industrial Design & Ergonomics, Mechanical Engineering, Manufacturing engineering incl. Logistics, Electricity & Automation, Energy & Power Engineering, Hardware Electronics, Testing and Verification, Project Management & Management, Life Science, QA & Validation, PLM, Opto engineering, Project Management, Software development embedded systems, RF And Microwave, Function development, System design, Business Intelligence, Business Systems, System development, Operation, support and infrastructure, Test & Quality, Business Analysis, Digital Communication, Requirement Management & Business Development, Product Information, Software development, Digitalisation, Management, Sales and Marketing

  • Language requirements

    English

  • Start date

    2023-10-01

  • Duration date

    2024-03-31

  • Publication date

    2023-09-19

  • Expiration date

    2023-09-28

  • Contact

    Henrik Tornvall, henrik.tornvall@sigma.se, 46730644811

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