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Data Governance and Quality Engineer Lead

Min Experience

8 years

Location

Richardson, TX

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

About the role

We are seeking an experienced and innovative Data Governance Tech Lead to join our firm. This role is crucial in driving our data governance initiatives and leveraging cutting-edge technologies to enhance our data management practices.



As the Data Governance Tech Lead, you will be responsible for implementing and overseeing data governance strategies, policies, and procedures across our organization. You will play a key role in ensuring data quality, security, and compliance while supporting our firm’s commercial goals through the effective use of data and technology


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What you’ll

  • doLead the implementation of data governance strategies, policies, and procedur
  • esCollaborate with senior managers to align data governance initiatives with the company’s strategic goa
  • lsImplement data classification, tagging, and access control mechanisms to protect sensitive informati
  • onCreating reports and dashboards to monitor quality metrics and trend
  • s.Designing and executing data validation, testing, and monitoring framework
  • s.Define and implement data governance policies, standards, and procedures to ensure data accuracy, completeness, and timeliness across all syste
  • msDesign and implement data quality management processes, including data profiling and cleansing strategi
  • esOversee data use case review and manageme
  • ntCollaborating with stakeholders to define data requirements and resolve issue
  • s.Manage data risk through an oversight and escalation framewo
  • rkEnsure adherence to firmwide Data Risk Management policies and regulatory requiremen
  • tsParticipate in governance forums and lead meetings to address requiremen
  • tsProvide recommendations for enhancements to the overall Data Governance structu


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#CBR

EIMWhat you’ll n

  • eedBachelor's degree in Information Systems, Mathematics, Computer Science, or a related fie
  • ld.Minimum of 8 years of experience in data governance, data management, or data engineering ro
  • lesAt least 3 years of experience in a leadership or management posit
  • ionStrong understanding of data privacy regulations and industry standa
  • rdsProficiency in SQL, Python, data modeling, and metadata managem
  • entFamiliarity with AI/ML technologies and automation soluti
  • onsExcellent leadership, communication, and stakeholder management ski
  • llsTechnical Ski
  • llsHands-on expertise in data governance tools and framewo
  • rksExperience with data integration tools and efficient data handl
  • ingKnowledge of regulatory frameworks related to AI and data use (e.g., GD
  • PR)Certification in Data Technology, Agile, or other relevant project management applicati
  • onsHands-on expertise in data governance and data quality tools to include frameworks like Collibra, and Informat


ica
Why C

BRE?At CBRE, we believe we possess an encouraging environment where integrity, service, and excellence craft our approach to every opportunity. We are guided by the needs of the cities we inhabit, the communities we build and the world we live

  • in.CBRE named a Fortune’s Most Admired Real Estate Company Fourteen years in a
  • rowCBRE agrees to acquire J&J Worldwide Services, a leading provider of engineering services, base support operations and facilities maintenance for the U.S. federal governm
  • ent.Named a World’s Most Ethical Company by Ethisphere for 11th consecutive y
  • ear.Ranked #3 on Barron’s Most Sustainable Company


list
#C


BREIM

About the company

CBRE is a Fortune's Most Admired Real Estate Company for fourteen years in a row. CBRE has agreed to acquire J&J Worldwide Services, a leading provider of engineering services, base support operations and facilities maintenance for the U.S. federal government. CBRE has been named a World's Most Ethical Company by Ethisphere for 11th consecutive year and ranked #3 on Barron's Most Sustainable Company list.

Skills

sql
python
data modeling
metadata management
ai/ml
data governance
data integration
data quality