Data Governance SME

Hybrid

This role is hybrid in Los Angeles.

Description

We are seeking a Data Governance Expert/Lead to work closely with Product and Engineering teams across the organization to enhance data-driven decision-making by developing processes to solve business problems and promote the utilization of data governance best practices.

• Basic Functions

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics or mathematical models.

• Use custom data infrastructure or existing data models as appropriate, using specialized grip. Design and evaluate models to mathematically express and solve defined problems with limited precedent.

• Apply analytics, experimentation, causal inference and Large Language Model (LLM) to address business challenges.

• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure or validate data to ensure quality and review the dataset to ensure it is ready for analysis.

• Frame and solve ambiguous business problems while researching and developing new methodologies to solve them when needed.

• Knowledge & Experience Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

• Ataccama Tool Configuration and Management

• Manage the AD configuration, Keycloak realm roles definitions, user setup, stewardship group definitions, governance roles access definitions.

• Establish connectivity to data sources that are profiled into the catalog.

• Establish business glossary terms that will be used to associate business attributes across the organization into a common language.

• Create and assign data quality rules at the business glossary and attribute level as appropriate

• Automate data profiling of assets into the tool and set up methods for detecting anomalies

• Work with business units and translate their use cases into solutions provided by Ataccama, where possible.

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

• 4 years of experience in predictive modeling.

• Experience applying large language models to help solve problems.

• Skills

• Track record of solving unstructured business problems with data science and translating results into impactful business/product recommendations.

• Ability to think critically, analyze complex problems, and develop data-driven solutions.

• Excellent verbal and written communication skills with the ability to articulate complex concepts to both technical and non-technical stakeholders.

• Exceptional leadership skills with the ability to inspire other data science team members.

• Proven experience with one of the following systems (Ataccama (preferred) Informatica, Collibra)