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    Contract - Project Manager - Data Analytics Innovation - Houston, United States - Smartbridge

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    Job Description

    Job DescriptionJob Title: Project Manager - Data Analytics Innovation (Contract)
    Location: Onsite Houston TX
    Contract Duration: 6 months
    We are embarking on a data analytics innovation project aimed at enhancing AI capabilities and are in search of a seasoned Project Manager as one of the leaders for this ambitious project on a contract basis. This role is designed for a leader who thrives in fast-paced environments and is skilled in turning complex data into strategic assets.
    Key Responsibilities:
    • Spearhead the planning and execution of a high-profile data analytics project, ensuring alignment with our AI objectives.
    • Manage project scope, timelines, and resources effectively, integrating AI and machine learning technologies to meet project goals.
    • Work closely with data scientists, AI experts, and business units to deliver project outcomes within the contractual period.
    • Apply agile and scrum methodologies to manage project workflows, including sprint planning, daily stand-ups, and retrospectives.
    • Monitor project performance against expectations, managing changes in project scope, schedule, and costs.
    • Communicate clearly and effectively with all project stakeholders, facilitating collaboration and transparency.
    • Lead risk management efforts to minimize project risks and ensure timely resolution of issues.
    • Foster a culture of continuous improvement by incorporating advanced data tools and methodologies into the project framework.
    Requirements:
    • At least 5 years of project management experience, with substantial involvement in AI and data-driven projects.
    • Demonstrated expertise in managing agile AI projects that leverage Databricks, Data IKU, and AWS.
    • Proficient in Agile project management; Scrum Master certification is preferred.
    • Strong leadership and negotiation skills, capable of managing diverse teams and complex stakeholder relationships.
    • Excellent analytical, problem-solving, and organizational abilities.
    • Bachelor's degree in a relevant field such as Computer Science, Data Science, or Engineering; Master's degree is advantageous.

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