Project Manager

Verinext

Penllyn (PA)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan (Medical, Dental & Vision)

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary & AD&D)

Paid Time Off (Vacation, Sick & Public Holidays)

Short Term & Long Term Disability

Training & Development

Wellness Resources

Job summary

Join a leading technology company as a Project Manager focused on data & analytics projects. You'll lead cross-functional teams to deliver complex data-driven solutions while ensuring project timelines and quality standards are met. This role blends technical expertise with leadership skills in a fun, innovative environment. The company has been recognized as a 'Best Place to Work' for 10 consecutive years, emphasizing a team-oriented culture and commitment to employee satisfaction.

Qualifications

5+ years of experience in project management, 2-3 years on data-centric projects.
Proven track record of delivering large-scale data projects on time.

Responsibilities

Develop and manage project plans for data-centric projects.
Coordinate and lead cross-functional teams.
Monitor and manage project budgets.

Skills

Leadership

Communication

Analytical

Problem Solving

Education

Bachelor's degree in Computer Science

PMP Certification

Tools

SQL

Python

Spark

Hadoop

Jira

Confluence

Job description

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:

Strong understanding of data architectures, databases, data lakes, data warehouses, and ETL processes
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and data tools (SQL, Python, Spark, Hadoop, etc.)
Experience with data governance, data quality management, and compliance frameworks
Exposure to machine learning or AI-driven projects is a plus

Project Management Skills:

Proven track record of delivering large-scale data projects on time and within budget
Proficient in project management tools such as Jira and Confluence
Expertise in Agile/Scrum methodologies
Strong analytical and problem-solving skills

Leadership and Communication:

Excellent communication skills, able to translate complex technical details into clear business language
Strong leadership abilities with experience in managing cross-functional teams
Ability to influence stakeholders at all levels of the organization

Education and Experience:

5+ years of experience in project management, with at least 2-3 years focused on data-centric projects
PMP, Agile, or Scrum certification is preferred
Previous experience in industries like finance, healthcare, or technology where data management is critical would be a plus
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field

Benefits