Cai - Trenton, NJ

posted 3 months ago

Full-time - Mid Level
Trenton, NJ
Chemical Manufacturing

About the position

As an Enterprise Data Architect at CAI, you will play a pivotal role in shaping the data strategy and architecture of our organization. This position requires a deep understanding of data management principles, data governance, and the ability to design and implement data solutions that align with business objectives. You will collaborate with various stakeholders, including business leaders, IT teams, and data analysts, to ensure that our data architecture supports the organization's goals and enhances decision-making processes. Your responsibilities will include developing and maintaining the enterprise data model, establishing data governance frameworks, and ensuring data quality and integrity across all systems. You will also be responsible for evaluating and recommending data management tools and technologies that can improve our data architecture and analytics capabilities. This role demands a forward-thinking approach to data architecture, with a focus on scalability, security, and compliance with industry standards. In addition to technical expertise, you will need strong communication skills to effectively convey complex data concepts to non-technical stakeholders. You will also mentor junior data professionals and contribute to a culture of continuous improvement within the data team. This is an exciting opportunity to lead data initiatives that will have a significant impact on the organization’s success.

Responsibilities

  • Develop and maintain the enterprise data model.
  • Establish data governance frameworks and policies.
  • Ensure data quality and integrity across all systems.
  • Evaluate and recommend data management tools and technologies.
  • Collaborate with stakeholders to align data architecture with business objectives.
  • Mentor junior data professionals and contribute to team development.
  • Communicate complex data concepts to non-technical stakeholders.

Requirements

  • Proven experience in data architecture and management principles.
  • Strong understanding of data governance and data quality frameworks.
  • Ability to design scalable and secure data solutions.
  • Excellent communication and collaboration skills.
  • Experience with data modeling tools and technologies.

Nice-to-haves

  • Familiarity with cloud data platforms and services.
  • Knowledge of data analytics and business intelligence tools.
  • Experience in a leadership or mentoring role.

Benefits

  • Health insurance coverage.
  • 401k retirement savings plan.
  • Paid time off and holidays.
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