Job responsibilities
- Document data requirements for your product and coordinate with technology and business partners to manage change from legacy to modernized data.
- Model data for efficient querying and use in LLMs, utilizing business data dictionary and metadata.
- Develop ideas for data products by understanding analytics needs and create prototypes for productizing datasets.
- Develop proof of concepts for natural language querying and collaborate with stakeholders to rollout capabilities.
- Support the team in building backlog, grooming initiatives, and leading data engineering scrum teams.
- Manage direct or matrixed staff to execute data-related tasks.
Required qualifications, capabilities, and skills
- Bachelor's degree required.
- 5+ years 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, Pandas).
- Ability to balance short-term goals and long-term vision in complex environments.
- Knowledge of open data standards, data taxonomy, vocabularies, and metadata management.
Preferred qualifications, capabilities, and skills
- Master’s degree preferred.