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  • Data Science Delivery Manager 02/10/2019 Singapore Full Time

    We are representing our client to look for Delivery Managers who will work closely with a team of high performing data engineers and data scientist’s and will be responsible for managing the delivery of new data science projects for internal customers. You are someone understands the principles, complexities and limitations of data science practices at the same time be evangelical about the emerging possibilities, then drive these innovations through the implementation and operationalisation stages.

    Responsibilities

    • Develop a delivery plan and take a completed POC through a journey of integration with the plant operations both from the process and business side and ensure that its operationalised
    • Lead the delivery of medium to large scale projects with use cases having strong footprints in the energy, utilities and market & retail areas
    • Work collaboratively and flexibly with businesses and vendors to deliver solutions of the highest quality in a fast-paced and rewarding environment
    • Support the Data Science and Engineering practices and through collaborative working, coaching and shared projects, to deliver significant change to the wider business
    • Ensure documentation of delivery processes, support automation, assist in setting-up post-delivery support structure and continuously improve the time to market delivery
    • Travel to customer locations if needed to ensure smooth delivery process

    Requirement

    • Masters / bachelor’s Degree in engineering, Mathematics, Computer Science or in a related field
    • Experience of working within a business function or managing projects of an energy, utility related company
    • Strong Experience working in an agile environment across multiple teams delivering data science and data engineering solutions
    • Preferably certified in project management practices like PMP/PRINCE2/AGILE with over 5 years experience in delivering medium to large scale projects.
    • Demonstrated evidence of an elevated level of emotional intelligence and behavioral understanding with the ability to bridge the gap between the business and technology teams
    • Preferably having good understanding of plant process engineering and analytics
    • Experience working with both business and IT functions in a production plant environment
    • Good presentation skills to present solutions to business stakeholders
    • Good analytical, organizational and problem-solving skills

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