Description

Key Skills: Data Governance, Data Management, Data Analytics, SQL, AWS, Azure, Google Cloud, Machine Learning, Data Science, Leadership

Good to Have Skills: Experience with data lake/lakehouse concepts and information architecture practices. Familiarity with advanced analytics, machine learning, or AI applications and hands-on experience leveraging LLMs for productivity and governance automation including prompt engineering patterns, agent/tooling concepts, and evaluation/monitoring of outputs. Knowledge of Oracle and comfort partnering with engineering on ingestion/transformation patterns. Experience in leading digital transformation initiatives leveraging data and data product management experience establishing operating processes for data products including documentation standards, quality SLAs/SLOs, monitoring/alerting, and lifecycle/deprecation.

Roles & Responsibilities:

• Lead data project execution while mitigating risks and inefficiencies across multiple business functions.
• Develop and maintain relationships with data providers and consumers across multiple organizational functions.
• Engage with broad-based consumer populations including operations, reporting, analytics, and data science teams to understand usage patterns.
• Collaborate with partners to document and classify critical data with comprehensive metadata for discovery and reuse.
• Provide subject matter expertise on data content and usage within business and associated product areas.
• Document detailed requirements for data sourcing, content quality, and integration of multiple upstream sources.
• Develop comprehensive processes to identify and mitigate data risks throughout the complete data lifecycle.
• Support data analytics by governing data integration into analytics platforms and designing fit-for-purpose curated datasets.
• Communicate and resolve data issues while maintaining data integrity and supporting root-cause analysis efforts.
• Leverage AI/ML and LLM tooling to automate governance and data management activities including metadata classification.

Experience Required: Five years of experience in data management, data governance, or risk management/analytics with demonstrated experience delivering data products or curated datasets.

Education: Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or equivalent professional experience

Key Skills

Education

Any Graduate