Project Manager

Join Verinext, a technology company that's not just keeping up with the future, but actively shaping it. At Verinext, we firmly believe that work should be as enjoyable as it is rewarding. As a Project Manager, you'll be stepping into an environment that thrives on innovation and fun. Our team-oriented culture isn't just a buzzword; its a cornerstone of our success. Were incredibly proud to have been recognized as a "Best Place to Work" by the Philadelphia Business Journal for 10 consecutive years.

Verinext is looking for a Project Manager with a focus on data & analytics projects that will lead cross-functional teams to deliver complex data-driven solutions, ensuring project timelines, budgets, and quality standards are met. The role requires a blend of technical expertise, leadership skills, and project management abilities to oversee the end-to-end delivery of data initiatives such as data warehousing, analytics, machine learning projects, and data governance programs.

Candidates must be within commuting distance of our Blue Bell, PA or Duluth, GA offices to be onsite as needed

Requirements

Key Responsibilities :

• Project Planning and Execution : Develop and manage project plans, timelines, and deliverables for data-centric projects such as data integration, ETL pipelines, data migrations, and AI / ML implementations
• Stakeholder Management : Liaise with key stakeholders, including data engineers, data scientists, business analysts, and leadership teams, to gather requirements, provide updates, and manage expectations
• Team Leadership : Coordinate and lead cross-functional teams, ensuring that technical and non-technical team members are aligned on project goals
• Technical Oversight : Collaborate with technical teams to ensure the design and development of data architectures meet project requirements. Work with data architects to provide guidance on data tools, platforms (e.g., AWS, Azure, Databricks), and technologies
• Risk Management : Identify project risks, bottlenecks, and dependencies. Develop mitigation strategies and implement corrective actions as necessary
• Budget and Resource Management : Monitor and manage project budgets, ensuring efficient allocation of resources and adherence to financial constraints
• Quality Assurance : Ensure that all data projects meet high standards of quality, accuracy, and compliance with relevant regulations (GDPR, CCPA, etc.)
• Reporting and Documentation : Provide regular project status reports to stakeholders, ensuring transparency on progress, challenges, and timelines. Maintain comprehensive project documentation
• Agile Methodologies : Utilize agile project management methodologies (Scrum, Kanban) for iterative delivery of data projects, fostering a culture of continuous improvement

Required Skills and Qualifications :

Technical Expertise :

Project Management Skills :

Leadership and Communication :

Education and Experience :

Benefits

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Project Management

Industries

Non-profit Organizations and Primary and Secondary Education

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