Data Governance SME

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.
• 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).