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    Senior Program Manager, Machine Learning - Vancouver, BC, Canada - Go REcruitment

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    Description

    36Eight Technologies is a bioinformatics/pharmacological healthcare data and technology company harnessing the power of Artificial Intelligence and proprietary Machine Learning algorithms and applying it on underlying clinical data/knowledge to efficiently understand a patient's unique medical needs.

    There is an opportunity to work remotely with occasional travel expected to Vancouver BC.
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    This rapidly growing company is nimble and has a can-do culture so everyone joining is expected to be hands-on, working with valuable resources to bring its solutions to market.

    Understand complex customer problems and how these can be translated into technical solutions.

    Use your data-driven, business-informed mindset to define and deliver programs with a high degree of complexity that have broad cross-organizational impact.

    Clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams.

    Possess a strong program management background, experience leading medium to large projects, and a well-rounded technical background in modern software development such as web, mobile, cloud-based distributed systems, and machine learning.

    Leverage your curiosity, intelligence, and critical thinking to understand the most difficult customer problems and translate them into detailed functional requirements and measurable success criteria.

    Work with the Engineering Manager to propose technical solutions, ensuring that all stakeholders (particularly non-technical) understand the pros and cons of each approach and long-term implications on the business.

    This will include integration between several software component deliverables, UX and operational workflows, security, privacy, regulatory compliance, and cost planning.

    Your work will serve as a template for more junior program managers.
    Provide project management leadership from initial requirements to implementation, operations, maintenance and customer support. Define project scope and schedules, lead sprint planning, daily scrums, retrospectives and demos to key stakeholders.
    Provide status reports to executive, articulating progress on success criteria, and leading efforts to overcome execution roadblocks.
    Ensure on-time delivery of projects and product development tasks.
    Bachelor's degree in a related scientific or engineering field.

    5 to 10 years' experience leading multi-discipline project teams in the delivery of complex consumer-facing and/or enterprise software involving web, mobile, cloud-based distributed systems, or machine learning.

    Experience developing and maintaining Agile processes for a small team of distributed professionals.
    This includes defining and managing success outcomes for the product development engineering team.

    Excellent organizational, communication and presentation skills with success in effectively communicating at all levels of an organization ideally with a technical background and understanding of user experience.

    Familiarity with the technical design of a cloud-based software product will definitely be a plus.


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