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Smartbridge Contract - Project Manager - Data Analytics Innovation in Houston, Texas

Job 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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