Mars

Regional Data Lead

Mars

full-time

Posted on:

Origin:  • 🇺🇸 United States • Missouri, New York, Tennessee

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Salary

💰 $117,804 - $161,985 per year

Job Level

Senior

Tech Stack

AzureETLPythonSQL

About the role

  • Execute the vision, strategy, and roadmap for the North America data domain in alignment with organizational goals
  • Collaborate with business and IT stakeholders to prioritize data initiatives based on business value and strategic alignment
  • Anticipate the data needs of product squads to unlock faster speed to value and insight
  • Promote data as a strategic asset within the domain and across the organization
  • Ensure adherence to data governance frameworks, policies, and standards and apply data quality management
  • Ensure compliance with relevant regulations and internal policies such as GDPR, CCPA
  • Drive development and maintenance of core data assets (master, transactional, reference data)
  • Partner with data engineering teams to implement scalable data solutions and oversee data lifecycle management
  • Monitor operational performance of data systems, resolve escalated issues, and optimize processes
  • Act as primary point of contact for data-related matters and ensure transparency in priorities and decision-making
  • Support analytics and reporting needs by ensuring availability of high-quality, well-documented, governed datasets
  • Partner with analytics and data science teams to deliver insights and drive innovation

Requirements

  • 4-7 years of experience in data management, governance, engineering, integration, or related roles
  • Understanding of applying data governance principles, DQM, compliance standards and security protocols to global data environments
  • Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI) a plus
  • Experience with DevOps principles such as CI/CD, unit testing
  • Project ownership skills with the ability to operate in Agile Product framework
  • Conversant with Data Regulations and Laws e.g. GDPR, CCPA, PIPL
  • Experience with big data technologies, ETL processes and Data modeling (ideally Microsoft Azure)
  • Bachelor's degree in Computer Science, Data Engineering or related STEM subject (required)
  • Preferred: Master's degree in above fields
  • Preferred: Accreditations/certifications (e.g. DAMA) in data management and/or data governance
  • Preferred: Professional certifications in SQL, Python, CAP, Microsoft certification
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