[Experienced] Data Consultant

B2EN has delivered numerous public and private projects in data consulting, modeling, standardization, quality management and migration.

As customers expand AI analytics platforms, big data platforms and data-driven decisions, they need enterprise governance that goes beyond traditional quality and standardization to include data used for AI.

The primary responsibility is establishing data governance. Depending on company and project needs, the role also covers B2EN's core services: consulting, modeling, standardization, quality management and migration.

1) Data governance

• Establish enterprise governance strategies and operations for data values, structures, flows and standards
• Define data policies, regulations, organization, roles, responsibilities and processes
• Design data management frameworks for AI analytics platforms and usage environments

2) Data consulting

• Assess customer data and identify improvement initiatives
• Deliver public- and private-sector data consulting projects

3) Data modeling and standardization

• Design and support conceptual, logical and physical data models
• Design and develop standards for words, terms, domains and database objects
• Check standards implementation and manage compliance

4) Data quality management

• Define quality assessment criteria and rules
• Assess values, structures, standards and business-rule compliance
• Perform public data quality management and assessment work

5) Data migration

• Develop migration strategies and plans
• Define data mappings and transformation rules
• Define cleansing, transformation, loading and validation criteria
• Validate migration and consistency, analyze errors, prepare reports and present results to customers

• 7–15 years of data-related work experience
• Understand conceptual, logical and physical model differences and data structure design principles
• Basic understanding of RDBMS and SQL

• Experience building or operating cloud data architectures, data lakes, DW/DM or big data platforms
• Experience managing AI analytics data, training data, unstructured data and big data platform datasets
• Certifications such as DAP, SQLP, ADsP, Big Data Analysis Engineer or public data quality assessor
• Experience writing proposals, preparing presentations, reporting to customers and leading workstreams
• Project manager or project leader experience