Responsibilities
Effectively communicate the status, value, and importance of data initiatives to Executive members and staff.
Oversee the collection, storage, management, and protection of data; develop and reinforce the data governance and regulations across the company.
Coordinate with other teams to provide: secured access to each data object and domain.
High quality of maintaining Metadata, Master/Reference data, and data dictionary.
Proactively collaborate and maintain working relationships with relevant functions to best match data solutions with organizational and functional needs.
Designing scalability of related technology infrastructure.
Model and assemble large, complex data sets that meet business requirements
Lead, motivate, and manage team members to achieve work efficiency and advance their data careers.
Foster a data- driven decision- making culture within the organization, be a dedicated partner of the Executives team and Functional heads in regard to data services and solutions.
Build, maintain and enhance data platform/ML platform.
Enhance data services catalog and quality of data deliverables; initiate or lead corporate- level data projects, consult on function- level data projects.
Perform daily monitoring and handling data- related technical issues and data.
Data quality via adjustment defined in the implementation plan.
Data protection controls based on requirements defined.
Work with stakeholders including Marketing, Product, Sales.. to create and maintain optimal systems.
Qualifications:
Requirements:
Management experience; project/people management skills.
4+ years of working with ETL, big data, relational database and NoSQL.
2+ years in software development and programming.
Demonstrable knowledge of data- related applications, big data solutions, and tools.
Familiarity with cloud provider: GCP, AWS, Azure
4+ years of building and managing BI/OLAP/DWH/DB systems on a large scale.
3+ years of relevant data management consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling).
S or M.S. degree in computer science, software engineering, information systems or other related fields.
Thorough understanding of the data landscape.
2+ years of working with natural language processing, information retrieval, deep learning, data mining.
Strong knowledge of data security from high to detail level.
Strong knowledge of programming languages: SQL, Python...
Nice to have:
Strong problem- solving skills, with a focus on understanding overall business issues and determining innovative solutions.
Good at presentation and communication skills.
Good at English verbal communicating and writing
Experience project management, organizational, analytical, problem- solving and communication skills
Strong project management and organizational skills.
Experience with resource planning and architectural design of large volumes of data and high traffic.
Leadership skill set is preferred.
