Sr. Data & Analytics Project Manager - Artmac Soft LLC

Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.

Job Description:

Job Title : Sr. Data and Analytics Project Manager

Job Type : W2

Experience :10-15 years

Location : Cincinnati, Ohio / Remote

Responsibilities :

• Minimum of 7 years of experience in project management, with a proven track record of successfully delivering complex projects on time and within budget.
• Project Management Professional (PMP) certification is required.
• Proficiency in agile methodologies and frameworks (e.g., Scrum, Kanban) is essential.
• Strong leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across diverse teams.
• Exceptional problem-solving and decision-making abilities, with a keen attention to detail.
• Experience working in fast-paced, dynamic environments with rapidly evolving priorities.
• Familiarity with project management tools and software (e.g., Microsoft Project, JIRA, Asana) is preferred.
• Experience in data management and implementing data management platforms is highly desirable.
• Project Leadership: Provide strategic direction and leadership to project teams, ensuring alignment with organizational goals and objectives.
• Project Planning: Develop comprehensive project plans, including scope, schedule, budget, resources, and risk management strategies.
• Stakeholder Management: Effectively engage with stakeholders at all levels to gather requirements, communicate project status, and manage expectations.
• Team Management: Lead and motivate cross-functional teams, fostering collaboration, innovation, and accountability.
• Progress Tracking: Implement robust project tracking mechanisms to monitor progress, identify deviations, and take corrective actions, as necessary.
• Risk Mitigation: Proactively identify project risks, assess their potential impact, and develop mitigation plans to minimize disruptions.
• Dependency Management: Manage dependencies across multiple work streams, coordinating efforts to ensure timely delivery and alignment.
• Issue Resolution: Address project issues and blockers in a timely manner, escalating to higher management when necessary to facilitate resolution.
• Quality Assurance: Uphold high standards of quality throughout the project lifecycle, conducting regular reviews and implementing best practices.
• Data Management: Oversee data management initiatives within projects, including implementing data management platforms, ensuring data quality, and facilitating data integration efforts.
• Continuous Improvement: Drive continuous process improvement initiatives, leveraging lessons learned to enhance project delivery capabilities.