Partner with legal, privacy, and information security teams to ensure that data governance standards and processes represent and support related compliance policies and practices
Creation and management of data classification and tagging process and semantic layers in close collaboration with Products team
Implement efficient and accurate control structures and processes to monitor compliance to policies, inclusive of comprehensive environment and user audits
Partner cross-functionally with business partners, Analytics and Data Engineering teams to gather source system information and requirements for data integrations, including analysis and clear communication of impacts of data choices
Support protection of HR information assets through development and deployment of security models across complex, interdependent data systems

Requirements

Bachelor’s degree in Computer Science, MIS, Engineering, Analytics or related field or 8+ years equivalent work experience
7+ years of experience in data management/governance, data engineering, technical project management, business intelligence, or analysis-based environments
3+ years of success leading complex analytical projects and/or developing innovative solutions with multi-function collaborators
Demonstrated ability to develop collaborative relationships across functions and inspire trust and confidence through effective communication and interpersonal skills
Demonstrated analytical and creative problem-solving skills that enable turning stakeholder vision and requirements into tactical outcomes in a way that meets best practices while supporting efficient project delivery
Strong written and oral communication skills that translate across technical and business domains
Expertise in SQL, Python, data analysis, governance & data quality tools (Alation, Collibra, Informatica, Anomalo) and agile tools (JIRA, Git)
Familiarity and experience working with Data Governance programs, covering data compliance, classification, and metadata standards
Knowledge of and experience with data security approaches and implementations
Solid understanding of legal and privacy implications to data management
Deep understanding of data warehousing and integration architecture, inclusive of experience working with cloud platforms and data warehouses in large data environments
Familiarity with AI and machine learning concepts
Ability to thrive in a dynamic and fast-paced operational environment where change is the norm.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package
medical, financial, and/or other benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLPythondata analysisdata governancedata quality toolsdata warehousingdata integration architecturecloud platformsAI conceptsmachine learning

Soft skills

communication skillsinterpersonal skillsanalytical skillsproblem-solving skillscollaborative relationshipstrust and confidenceproject deliverydynamic environmentcreative solutionscross-functional collaboration