Data Governance and Quality Specialist with Gen AI Experience
Job Summary:
The Data Governance and Quality Specialist plays a crucial role in ensuring
the integrity, accuracy, and availability of data across the organization. By
leveraging Gen AI technologies, this position will enhance data quality
frameworks and governance policies to drive data-driven decision-making and
foster a culture of accountability.
Key Responsibilities:
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Develop and implement data governance frameworks and data quality standards
that align with organizational goals.
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Utilize Gen AI tools to automate data quality monitoring processes and
identify anomalies or discrepancies in data sets.
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Collaborate with cross-functional teams to establish data stewardship roles
and ensure adherence to data governance practices.
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Conduct regular audits of data sources to assess data quality and recommend
actionable improvements.
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Create and maintain comprehensive documentation related to data governance
policies, processes, and best practices.
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Provide training and support to staff on data governance principles and the
effective use of Gen AI tools.
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Monitor industry trends and emerging technologies related to data governance
and quality assurance, providing recommendations for adoption.
Requirements:
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Minimum of 5 years of experience in data governance, data quality, or a
similar role.
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Proficient understanding of data governance frameworks and data quality
metrics.
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Experience working with Gen AI technologies or machine learning algorithms
to enhance data processes.
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Strong analytical and problem-solving abilities with attention to detail.
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Excellent verbal and written communication skills, with the ability to
present information clearly and effectively.
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Ability to work collaboratively in a team-oriented environment and manage
multiple projects simultaneously.
Preferred Qualifications:
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Certification in Data Governance (e.g., CDMP, DGSP) or a related field.
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Experience with data visualization tools such as Tableau, Power BI, or
similar applications.
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Familiarity with data privacy regulations (e.g., GDPR, CCPA) and their
implications for data governance.
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Advanced degree in Data Science, Information Systems, or a related
discipline.
Benefits:
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Competitive salary and performance-based bonuses.
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Health, dental, and vision insurance plans to support your well-being.
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Flexible work hours and remote working options to promote work-life balance.
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Professional development opportunities and tuition reimbursement for
continued education.
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Generous paid time off policy, including vacation and personal days.
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Collaborative and inclusive company culture fostering innovation and
creativity.
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Retirement savings plan with company matching contributions to help you plan
for the future.