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Data Manager

Forsyth Barnes

Edison (NJ)

Hybrid

USD 140,000 - 175,000

Full time

6 days ago
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Job summary

An established industry player is seeking a Data Manager to lead data automation initiatives. This pivotal role involves overseeing a talented team, driving efficiency through innovative data solutions, and ensuring compliance and quality across data processes. The ideal candidate will possess a strong background in project management, excellent communication skills, and a strategic mindset. Join a forward-thinking organization that values diversity and inclusion, and make a significant impact by automating and transforming data management practices. This is an exciting opportunity to shape the future of data within a dynamic retail environment.

Qualifications

  • Strong background in managing complex projects and automating data processes.
  • Excellent communication skills and ability to manage multiple stakeholders.

Responsibilities

  • Lead a team of data integration engineers and analysts.
  • Define and execute the data automation strategy and roadmap.
  • Oversee end-to-end data automation projects.

Skills

GCP cloud data platform experience
Azure cloud data platform experience
Data automation technologies
Integration Platform as a Service (iPaaS)
Data modeling tools
BI visualization tools
Agile/Scrum methodologies
Data management
Data quality
Leadership skills

Tools

JIRA
Clarizen

Job description

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Vice President, Data & Technology Search & Co-Founder of The Table | USA | Women In Tech Recruiter | Diversity, Equality & Inclusion Advocate

Title: Data Manager

Location: Edison, NJ | Hybrid (4 days per week)

Salary: Up to $175,000 + bonus

I am partnered with a leading national retailer seeking a Data Manager. The ideal candidate will have a strong background in managing complex projects, with a focus on automating data processes and driving efficiency within the organization.

This role requires a strategic thinker with excellent communication skills who can manage multiple stakeholders and deliver projects on time and within budget. You will oversee the design, development, and implementation of data automation solutions to help cleanse the data that feeds transactional and business intelligence systems. This role will lead the organization in how we automate, collect, transform, analyze and report data associated for all products throughout their lifecycle.

Responsibilities:

  • Lead and manage a team of data integration engineers, analysts, data stewards, and developers.
  • Defines and executes the data automation strategy and roadmap for the organization.
  • Identifies and evaluates the data automation needs and opportunities for different business units and functions.
  • Ensures the quality, security, and compliance of the data automation solutions and the data sources.
  • Monitors and troubleshoots the data automation solutions, resolving any issues or errors.
  • Provide guidance, mentorship, and performance management.
  • Provides training and support to the end users of the data automation solutions.
  • Oversee day-to-day team operations, sets goals and priorities, conducts performance reviews, and fosters a collaborative and high-performing team culture.
  • Lead and manage end-to-end data automation projects, including planning, execution, and delivery.
  • Develop project plans and timelines, ensuring alignment with business objectives.
  • Monitor project progress, identify risks, and implement mitigation strategies.

Key Skills

  • GCP or Azure cloud data platform experience (GCP preferred)
  • Proven track record of managing multiple projects simultaneously and delivering results on time.
  • Knowledge of data automation technologies, such as cloud data pipelines, ETL/ELT, etc.
  • Understanding of Integration Platform as a Service (iPaaS), such as Boomi, MuleSoft, etc.
  • Proficiency with data modeling tools.
  • Knowledge of BI visualization tools such as Microstrategy, Power BI, Looker, or similar.
  • Familiarity with Agile/Scrum methodologies and collaboration tools (e.g., JIRA, Clarizen, etc.).
  • Strong knowledge and skills in data management, data quality, data governance, and data security.
  • Strong leadership, communication, collaboration, and problem-solving skills.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Retail

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