
Data Innovation Lead
1 week ago
Drive innovation through data modernization and advanced analytics by leading a team to ensure high-quality, well-documented data is accessible to the business. Collaborate with technology and business partners to execute data requirements and manage change from legacy to modernized data.
About This Role- This is an exciting opportunity to join our organization as a Data Owner Lead. As a member of our team, you will be responsible for driving innovation through data modernization and advanced analytics.
- You will work closely with technology and business partners to execute data requirements and manage change from legacy to modernized data.
- Document Data Requirements: Coordinate with technology and business partners to manage change from legacy to modernized data.
- Model Data for Efficient Querying: Utilize business data dictionary and metadata to model data for efficient querying and use in LLMs.
- Develop Data Product Ideas: Create prototypes for productizing datasets by understanding analytics needs.
- Natural Language Querying: Develop proof of concepts and collaborate with stakeholders to rollout capabilities.
- Team Management: Manage direct or matrixed staff to execute data-related tasks.
- Bachelor's degree required.
- 5+ years of experience in data modeling for relational, NoSQL, and graph databases.
- Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions.
- Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn).
- Knowledge of open data standards, data taxonomy and vocabularies, and metadata management.
- Ability to balance short-term goals and long-term vision in complex environments.
- Master's degree preferred.
- Experience in leading data engineering teams.
- Strong communication and collaboration skills.
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