Senior Project Manager - Data & AI

Overview

Key Responsibilities:

• Lead and manage PS engagements for Data Services practice from initiation to completion, ensuring alignment with client objectives and expectations.
• Develop comprehensive project plans, including scope, schedule, budget, resource allocation, and risk management strategies.
• Utilize agile methodologies to implement detailed task tracking, manage priorities, and adapt to changing project requirements.
• Coordinate and collaborate with cross-functional teams, including data engineers, analysts, developers, and stakeholders, to drive project execution and deliverables.
• Monitor and report RAG status for scope, schedule, budget, and risks/issues, providing timely updates to stakeholders and senior management.
• Proactively identify project risks and issues, develop mitigation plans, and escalate as necessary to ensure timely resolution.
• Foster a culture of collaboration, accountability, and continuous improvement within the project team.
• Establish and maintain strong relationships with clients, serving as the primary point of contact for project-related inquiries and updates.
• Conduct regular project reviews and retrospectives to assess performance, identify lessons learned, and drive process improvements.
• Mentor and coach junior project management staff, providing guidance and support to enhance their skills and capabilities.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Business Administration, or related field; PMP certification preferred.
• Proven experience managing complex data projects within a Professional Services or consulting environment.
• Strong understanding of agile methodologies, with hands-on experience using agile project management tools and techniques.
• Excellent leadership and communication skills, with the ability to effectively influence and collaborate with diverse stakeholders.
• Demonstrated ability to manage multiple priorities and deadlines in a fast-paced, dynamic environment.
• Solid analytical and problem-solving skills, with a keen attention to detail and accuracy.
• Experience with data management, analytics, and business intelligence technologies is highly desirable.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data-related tools (e.g., SQL, Python, Tableau) is a plus.
• Proven track record of successfully delivering projects on time, within budget, and with high quality.

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