Data Owner Director

A successful Data Owner isimportant to the firms agenda of enabling the business to drive faster innovation through the use of its data by ensuring that data is clearly documented of good quality and well-protected. This role is responsible for all customer application and account opening data that is created published to the data lake or consumed for advanced analytics or AI/ML use cases. This Vice President Area Data Owner serves as subject matter experts to help define and classify data critical to their product lead change management from legacy to modernized data and collaborate with technology and business partners to execute on data requirements. Additionally identify monitor and mitigate data risks throughout the data life cycle and simplify the work involved in getting data generation to conversion to dashboards models and natural language queries.

Job responsibilities:

• Document data requirements for your product coordinate with technology to get the data created and business partners to manage change from legacy data to modernized data
• Model the data with long term vision to enable efficient querying natural language querying and use in LLMs; utilize business data dictionary and business metadata from tech and product teams in describing the data in simple understandable terms
• Develop ideas for data products by understanding analytics needs and pain points; create prototypes that analytics and data engineering teams can use as requirements in productizing the datasets
• Develop proof of concepts for natural language querying of the data and collaborate with analytics data science teams and other stakeholders to rollout the capability to business users
• Support the team in building the backlog grooming initiatives and creating user stories to lead data engineering scrum teams to publish new data and create data products
• Manage direct or matrixed staff to execute data-related tasks

Required qualifications capabilities and skills:

• Bachelors degree required; Masters degree preferred
• 12 years working experience data modeling for relational NoSQL and graph databases
• Generates advanced data models using firmwide tooling and designing for high performance querying/reporting
• 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)
• Open data standards data taxonomy and vocabularies metadata management
• Able to balance short-term goals and long-term vision in highly complex environments